diff --git a/docker/build_local_docker_images.sh b/docker/build_local_docker_images.sh new file mode 100755 index 000000000..bb8d33b9a --- /dev/null +++ b/docker/build_local_docker_images.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +while true; do + read -p "Docker images can be downloaded from docker hub and seamlessly mounted with latest HUDI jars. Do you still want to build docker images from scratch ?" yn + case $yn in + [Yy]* ) make install; break;; + [Nn]* ) exit;; + * ) echo "Please answer yes or no.";; + esac +done +pushd ../ +mvn clean pre-integration-test -DskipTests -Ddocker.compose.skip=true -Ddocker.build.skip=false +popd diff --git a/docker/compose/docker-compose_hadoop284_hive233_spark231.yml b/docker/compose/docker-compose_hadoop284_hive233_spark231.yml new file mode 100644 index 000000000..6eb874f00 --- /dev/null +++ b/docker/compose/docker-compose_hadoop284_hive233_spark231.yml @@ -0,0 +1,217 @@ +version: "3.3" + +services: + + namenode: + image: varadarb/hudi-hadoop_2.8.4-namenode:latest + hostname: namenode + container_name: namenode + volumes: + - /tmp/hadoop_name:/hadoop/dfs/name + environment: + - CLUSTER_NAME=hudi_hadoop284_hive232_spark231 + ports: + - "50070:50070" + - "8020:8020" + env_file: + - ./hadoop.env + healthcheck: + test: ["CMD", "curl", "-f", "http://namenode:50070"] + interval: 30s + timeout: 10s + retries: 3 + + datanode1: + image: varadarb/hudi-hadoop_2.8.4-datanode:latest + container_name: datanode1 + hostname: datanode1 + environment: + - CLUSTER_NAME=hudi_hadoop284_hive232_spark231 + env_file: + - ./hadoop.env + ports: + - "50075:50075" + - "50010:50010" + links: + - "namenode" + - "historyserver" + healthcheck: + test: ["CMD", "curl", "-f", "http://datanode1:50075"] + interval: 30s + timeout: 10s + retries: 3 + depends_on: + - namenode + volumes: + - /tmp/hadoop_data:/hadoop/dfs/data + + historyserver: + image: varadarb/hudi-hadoop_2.8.4-history:latest + hostname: historyserver + container_name: historyserver + environment: + - CLUSTER_NAME=hudi_hadoop284_hive232_spark231 + depends_on: + - "namenode" + links: + - "namenode" + ports: + - "58188:8188" + healthcheck: + test: ["CMD", "curl", "-f", "http://historyserver:8188"] + interval: 30s + timeout: 10s + retries: 3 + env_file: + - ./hadoop.env + volumes: + - historyserver:/hadoop/yarn/timeline + + hive-metastore-postgresql: + image: bde2020/hive-metastore-postgresql:2.3.0 + volumes: + - hive-metastore-postgresql:/var/lib/postgresql + hostname: hive-metastore-postgresql + container_name: hive-metastore-postgresql + + hivemetastore: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3:latest + hostname: hivemetastore + container_name: hivemetastore + links: + - "hive-metastore-postgresql" + - "namenode" + env_file: + - ./hadoop.env + command: /opt/hive/bin/hive --service metastore + environment: + SERVICE_PRECONDITION: "namenode:50070 hive-metastore-postgresql:5432" + ports: + - "9083:9083" + healthcheck: + test: ["CMD", "nc", "-z", "hivemetastore", "9083"] + interval: 30s + timeout: 10s + retries: 3 + depends_on: + - "hive-metastore-postgresql" + - "namenode" + + hiveserver: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3:latest + hostname: hiveserver + container_name: hiveserver + env_file: + - ./hadoop.env + environment: + SERVICE_PRECONDITION: "hivemetastore:9083" + ports: + - "10000:10000" + depends_on: + - "hivemetastore" + links: + - "hivemetastore" + - "hive-metastore-postgresql" + - "namenode" + volumes: + - ${HUDI_WS}:/var/hoodie/ws + + sparkmaster: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3-sparkmaster_2.3.1:latest + hostname: sparkmaster + container_name: sparkmaster + env_file: + - ./hadoop.env + ports: + - "8080:8080" + - "7077:7077" + environment: + - INIT_DAEMON_STEP=setup_spark + links: + - "hivemetastore" + - "hiveserver" + - "hive-metastore-postgresql" + - "namenode" + + spark-worker-1: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3-sparkworker_2.3.1:latest + hostname: spark-worker-1 + container_name: spark-worker-1 + env_file: + - ./hadoop.env + depends_on: + - sparkmaster + ports: + - "8081:8081" + environment: + - "SPARK_MASTER=spark://sparkmaster:7077" + links: + - "hivemetastore" + - "hiveserver" + - "hive-metastore-postgresql" + - "namenode" + + zookeeper: + image: 'bitnami/zookeeper:3.4.12-r68' + hostname: zookeeper + container_name: zookeeper + ports: + - '2181:2181' + environment: + - ALLOW_ANONYMOUS_LOGIN=yes + + kafka: + image: 'bitnami/kafka:2.0.0' + hostname: kafkabroker + container_name: kafkabroker + ports: + - '9092:9092' + environment: + - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181 + - ALLOW_PLAINTEXT_LISTENER=yes + + adhoc-1: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3-sparkadhoc_2.3.1:latest + hostname: adhoc-1 + container_name: adhoc-1 + env_file: + - ./hadoop.env + depends_on: + - sparkmaster + ports: + - '4040:4040' + environment: + - "SPARK_MASTER=spark://sparkmaster:7077" + links: + - "hivemetastore" + - "hiveserver" + - "hive-metastore-postgresql" + - "namenode" + volumes: + - ${HUDI_WS}:/var/hoodie/ws + + adhoc-2: + image: varadarb/hudi-hadoop_2.8.4-hive_2.3.3-sparkadhoc_2.3.1:latest + hostname: adhoc-2 + container_name: adhoc-2 + env_file: + - ./hadoop.env + depends_on: + - sparkmaster + environment: + - "SPARK_MASTER=spark://sparkmaster:7077" + links: + - "hivemetastore" + - "hiveserver" + - "hive-metastore-postgresql" + - "namenode" + volumes: + - ${HUDI_WS}:/var/hoodie/ws + +volumes: + namenode: + historyserver: + hive-metastore-postgresql: + +networks: + default: diff --git a/docker/compose/hadoop.env b/docker/compose/hadoop.env new file mode 100644 index 000000000..5cad0a5be --- /dev/null +++ b/docker/compose/hadoop.env @@ -0,0 +1,33 @@ +HIVE_SITE_CONF_javax_jdo_option_ConnectionURL=jdbc:postgresql://hive-metastore-postgresql/metastore +HIVE_SITE_CONF_javax_jdo_option_ConnectionDriverName=org.postgresql.Driver +HIVE_SITE_CONF_javax_jdo_option_ConnectionUserName=hive +HIVE_SITE_CONF_javax_jdo_option_ConnectionPassword=hive +HIVE_SITE_CONF_datanucleus_autoCreateSchema=false +HIVE_SITE_CONF_hive_metastore_uris=thrift://hivemetastore:9083 +HDFS_CONF_dfs_namenode_datanode_registration_ip___hostname___check=false + +HDFS_CONF_dfs_webhdfs_enabled=true +HDFS_CONF_dfs_permissions_enabled=false +#HDFS_CONF_dfs_client_use_datanode_hostname=true +#HDFS_CONF_dfs_namenode_use_datanode_hostname=true + +CORE_CONF_fs_defaultFS=hdfs://namenode:8020 +CORE_CONF_hadoop_http_staticuser_user=root +CORE_CONF_hadoop_proxyuser_hue_hosts=* +CORE_CONF_hadoop_proxyuser_hue_groups=* + +YARN_CONF_yarn_log___aggregation___enable=true +YARN_CONF_yarn_resourcemanager_recovery_enabled=true +YARN_CONF_yarn_resourcemanager_store_class=org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore +YARN_CONF_yarn_resourcemanager_fs_state___store_uri=/rmstate +YARN_CONF_yarn_nodemanager_remote___app___log___dir=/app-logs +YARN_CONF_yarn_log_server_url=http://historyserver:8188/applicationhistory/logs/ +YARN_CONF_yarn_timeline___service_enabled=true +YARN_CONF_yarn_timeline___service_generic___application___history_enabled=true +YARN_CONF_yarn_resourcemanager_system___metrics___publisher_enabled=true +YARN_CONF_yarn_resourcemanager_hostname=resourcemanager +YARN_CONF_yarn_timeline___service_hostname=historyserver +YARN_CONF_yarn_resourcemanager_address=resourcemanager:8032 +YARN_CONF_yarn_resourcemanager_scheduler_address=resourcemanager:8030 +YARN_CONF_yarn_resourcemanager_resource___tracker_address=resourcemanager:8031 +YARN_CONF_yarn_nodemanager_vmem___check___enabled=false diff --git a/docker/demo/config/base.properties b/docker/demo/config/base.properties new file mode 100644 index 000000000..907581006 --- /dev/null +++ b/docker/demo/config/base.properties @@ -0,0 +1,21 @@ +# +# Copyright (c) 2017 Uber Technologies, Inc. (hoodie-dev-group@uber.com) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# +# Common hoodie client configs +hoodie.upsert.shuffle.parallelism=2 +hoodie.insert.shuffle.parallelism=2 +hoodie.bulkinsert.shuffle.parallelism=2 diff --git a/docker/demo/config/kafka-source.properties b/docker/demo/config/kafka-source.properties new file mode 100644 index 000000000..1588c47f9 --- /dev/null +++ b/docker/demo/config/kafka-source.properties @@ -0,0 +1,29 @@ +# +# Copyright (c) 2017 Uber Technologies, Inc. (hoodie-dev-group@uber.com) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# +include=base.properties +# Key fields, for kafka example +hoodie.datasource.write.recordkey.field=key +hoodie.datasource.write.partitionpath.field=date +# Schema provider props (change to absolute path based on your installation) +hoodie.deltastreamer.schemaprovider.source.schema.file=/var/demo/config/schema.avsc +hoodie.deltastreamer.schemaprovider.target.schema.file=/var/demo/config/schema.avsc +# Kafka Source +hoodie.deltastreamer.source.kafka.topic=stock_ticks +#Kafka props +metadata.broker.list=kafkabroker:9092 +auto.offset.reset=smallest diff --git a/docker/demo/config/schema.avsc b/docker/demo/config/schema.avsc new file mode 100644 index 000000000..dd0779a5f --- /dev/null +++ b/docker/demo/config/schema.avsc @@ -0,0 +1,41 @@ +{ + "type":"record", + "name":"stock_ticks", + "fields":[{ + "name": "volume", + "type": "long" + }, { + "name": "ts", + "type": "string" + }, { + "name": "symbol", + "type": "string" + },{ + "name": "year", + "type": "int" + },{ + "name": "month", + "type": "string" + },{ + "name": "high", + "type": "double" + },{ + "name": "low", + "type": "double" + },{ + "name": "key", + "type": "string" + },{ + "name": "date", + "type":"string" + }, { + "name": "close", + "type": "double" + }, { + "name": "open", + "type": "double" + }, { + "name": "day", + "type":"string" + } +]} diff --git a/docker/demo/config/spark-defaults.conf b/docker/demo/config/spark-defaults.conf new file mode 100644 index 000000000..e496b46c2 --- /dev/null +++ b/docker/demo/config/spark-defaults.conf @@ -0,0 +1,26 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# Default system properties included when running spark-submit. +# This is useful for setting default environmental settings. + +# Example: +spark.master local[3] +spark.eventLog.dir hdfs://namenode:8020/tmp/spark-events +spark.serializer org.apache.spark.serializer.KryoSerializer +#spark.executor.memory 4g +# spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three" diff --git a/docker/demo/data/batch_1.json b/docker/demo/data/batch_1.json new file mode 100644 index 000000000..3e7b149a0 --- /dev/null +++ b/docker/demo/data/batch_1.json @@ -0,0 +1,3482 @@ +{"volume": 483951, "symbol": "MSFT", "ts": "2018-08-31 09:30:00", "month": "08", "high": 111.74, "low": 111.55, "key": "MSFT_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 111.72, "open": 111.55, "day": "31"} +{"volume": 1533226, "symbol": "AAPL", "ts": "2018-08-31 09:30:00", "month": "08", "high": 227.3101, "low": 226.23, "key": "AAPL_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 227.3101, "open": 226.53, "day": "31"} +{"volume": 36179, "symbol": "GOOG", "ts": "2018-08-31 09:30:00", "month": "08", "high": 1236.0, "low": 1234.36, "key": "GOOG_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 1234.54, "open": 1236.0, "day": "31"} +{"volume": 456506, "symbol": "FB", "ts": "2018-08-31 09:30:00", "month": "08", "high": 177.5, "low": 176.465, "key": "FB_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 176.83, "open": 177.29, "day": "31"} +{"volume": 142747, "symbol": "NFLX", "ts": "2018-08-31 09:30:00", "month": "08", "high": 372.0, "low": 370.49, "key": "NFLX_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 371.9, "open": 370.49, "day": "31"} +{"volume": 126884, "symbol": "TSLA", "ts": "2018-08-31 09:30:00", "month": "08", "high": 301.81, "low": 300.11, "key": "TSLA_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 300.61, "open": 301.81, "day": "31"} +{"volume": 1201915, "symbol": "F", "ts": "2018-08-31 09:30:00", "month": "08", "high": 9.63, "low": 9.6, "key": "F_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 9.61, "open": 9.63, "day": "31"} +{"volume": 176474, "symbol": "AMZN", "ts": "2018-08-31 09:30:00", "month": "08", "high": 2010.8101, "low": 2007.0, "key": "AMZN_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 2010.5, "open": 2009.8199, "day": "31"} +{"volume": 142523, "symbol": "NVDA", "ts": "2018-08-31 09:30:00", "month": "08", "high": 277.1899, "low": 276.64, "key": "NVDA_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 277.1899, "open": 276.875, "day": "31"} +{"volume": 351118, "symbol": "INTC", "ts": "2018-08-31 09:30:00", "month": "08", "high": 48.06, "low": 47.96, "key": "INTC_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 48.03, "open": 47.961, "day": "31"} +{"volume": 96028, "symbol": "TNDM", "ts": "2018-08-31 09:30:00", "month": "08", "high": 44.709, "low": 44.49, "key": "TNDM_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 44.709, "open": 44.49, "day": "31"} +{"volume": 0, "symbol": "CDNA", "ts": "2018-08-31 09:30:00", "month": "08", "high": 23.01, "low": 23.01, "key": "CDNA_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 23.01, "open": 23.01, "day": "31"} +{"volume": 2964, "symbol": "IIN", "ts": "2018-08-31 09:30:00", "month": "08", "high": 72.75, "low": 72.75, "key": "IIN_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 72.75, "open": 72.75, "day": "31"} +{"volume": 0, "symbol": "TPNL", "ts": "2018-08-31 09:30:00", "month": "08", "high": 3.37, "low": 3.37, "key": "TPNL_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 3.37, "open": 3.37, "day": "31"} +{"volume": 558465, "symbol": "CGC", "ts": "2018-08-31 09:30:00", "month": "08", "high": 44.58, "low": 44.2876, "key": "CGC_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 44.29, "open": 44.5, "day": "31"} +{"volume": 8629, "symbol": "FNKO", "ts": "2018-08-31 09:30:00", "month": "08", "high": 24.1888, "low": 24.1888, "key": "FNKO_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 24.1888, "open": 24.1888, "day": "31"} +{"volume": 0, "symbol": "SSTI", "ts": "2018-08-31 09:30:00", "month": "08", "high": 55.09, "low": 55.09, "key": "SSTI_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 55.09, "open": 55.09, "day": "31"} +{"volume": 0, "symbol": "MRTX", "ts": "2018-08-31 09:30:00", "month": "08", "high": 56.75, "low": 56.75, "key": "MRTX_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 56.75, "open": 56.75, "day": "31"} +{"volume": 980, "symbol": "RFIL", "ts": "2018-08-31 09:30:00", "month": "08", "high": 11.6, "low": 11.6, "key": "RFIL_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 11.6, "open": 11.6, "day": "31"} +{"volume": 0, "symbol": "MED", "ts": "2018-08-31 09:30:00", "month": "08", "high": 225.04, "low": 225.04, "key": "MED_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 225.04, "open": 225.04, "day": "31"} +{"volume": 0, "symbol": "I", "ts": "2018-08-31 09:30:00", "month": "08", "high": 21.56, "low": 21.56, "key": "I_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 21.56, "open": 21.56, "day": "31"} +{"volume": 30054, "symbol": "ARQL", "ts": "2018-08-31 09:30:00", "month": "08", "high": 6.515, "low": 6.515, "key": "ARQL_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 6.515, "open": 6.515, "day": "31"} +{"volume": 87608, "symbol": "DNR", "ts": "2018-08-31 09:30:00", "month": "08", "high": 5.59, "low": 5.59, "key": "DNR_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 5.59, "open": 5.59, "day": "31"} +{"volume": 0, "symbol": "CVNA", "ts": "2018-08-31 09:30:00", "month": "08", "high": 61.7, "low": 61.7, "key": "CVNA_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 61.7, "open": 61.7, "day": "31"} +{"volume": 0, "symbol": "BOOT", "ts": "2018-08-31 09:30:00", "month": "08", "high": 29.33, "low": 29.33, "key": "BOOT_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 29.33, "open": 29.33, "day": "31"} +{"volume": 148009, "symbol": "SQ", "ts": "2018-08-31 09:30:00", "month": "08", "high": 87.9, "low": 87.9, "key": "SQ_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 87.9, "open": 87.9, "day": "31"} +{"volume": 0, "symbol": "RCKT", "ts": "2018-08-31 09:30:00", "month": "08", "high": 23.76, "low": 23.76, "key": "RCKT_2018-08-31 09", "year": 2018, "date": "2018/08/31", "close": 23.76, "open": 23.76, "day": "31"} +{"volume": 0, "symbol": "NGVC", "ts": "2018-08-31 09:30:00", "month": "08", 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"year": 2018, "date": "2018/08/31", "close": 153.48, "open": 153.535, "day": "31"} +{"volume": 7307, "symbol": "CRM", "ts": "2018-08-31 10:57:00", "month": "08", "high": 153.4254, "low": 153.38, "key": "CRM_2018-08-31 10", "year": 2018, "date": "2018/08/31", "close": 153.4254, "open": 153.38, "day": "31"} +{"volume": 13292, "symbol": "CRM", "ts": "2018-08-31 10:58:00", "month": "08", "high": 153.4572, "low": 153.37, "key": "CRM_2018-08-31 10", "year": 2018, "date": "2018/08/31", "close": 153.37, "open": 153.38, "day": "31"} +{"volume": 9205, "symbol": "CRM", "ts": "2018-08-31 10:59:00", "month": "08", "high": 153.48, "low": 153.36, "key": "CRM_2018-08-31 10", "year": 2018, "date": "2018/08/31", "close": 153.48, "open": 153.36, "day": "31"} diff --git a/docker/demo/setup_demo_container.sh b/docker/demo/setup_demo_container.sh new file mode 100755 index 000000000..d130ffd70 --- /dev/null +++ b/docker/demo/setup_demo_container.sh @@ -0,0 +1,6 @@ +echo "Copying spark default config and setting up configs" +cp /var/hoodie/ws/docker/demo/config/spark-defaults.conf $SPARK_CONF_DIR/. +hadoop fs -mkdir -p /var/demo/ +hadoop fs -mkdir -p /tmp/spark-events +hadoop fs -copyFromLocal -f /var/hoodie/ws/docker/demo/config /var/demo/. +chmod +x /var/hoodie/ws/hoodie-hive/run_sync_tool.sh diff --git a/docker/hoodie/hadoop/base/Dockerfile b/docker/hoodie/hadoop/base/Dockerfile new file mode 100644 index 000000000..4f78ffd8c --- /dev/null +++ b/docker/hoodie/hadoop/base/Dockerfile @@ -0,0 +1,45 @@ +FROM frolvlad/alpine-oraclejdk8 +MAINTAINER Hoodie +USER root + +# Default to UTF-8 file.encoding +ENV LANG C.UTF-8 + +# Updating & Installing packages +RUN apk add net-tools curl bash perl procps + +ARG HADOOP_VERSION=2.8.4 +ARG HADOOP_URL=https://www.apache.org/dist/hadoop/common/hadoop-${HADOOP_VERSION}/hadoop-${HADOOP_VERSION}.tar.gz +ENV HADOOP_VERSION ${HADOOP_VERSION} +ENV HADOOP_URL ${HADOOP_URL} + +RUN set -x \ + && echo "Fetch URL2 is : ${HADOOP_URL}" \ + && curl -fSL "${HADOOP_URL}" -o /tmp/hadoop.tar.gz \ + && curl -fSL "${HADOOP_URL}.asc" -o /tmp/hadoop.tar.gz.asc \ + && mkdir -p /opt/hadoop-$HADOOP_VERSION/logs \ + && tar -xvf /tmp/hadoop.tar.gz -C /opt/ \ + && rm /tmp/hadoop.tar.gz* \ + && ln -s /opt/hadoop-$HADOOP_VERSION/etc/hadoop /etc/hadoop \ + && cp /etc/hadoop/mapred-site.xml.template /etc/hadoop/mapred-site.xml \ + && mkdir /hadoop-data + +ENV HADOOP_PREFIX=/opt/hadoop-$HADOOP_VERSION +ENV HADOOP_CONF_DIR=/etc/hadoop +ENV MULTIHOMED_NETWORK=1 +ENV HADOOP_HOME=${HADOOP_PREFIX} +ENV HADOOP_INSTALL=${HADOOP_HOME} +ENV USER=root +ENV PATH /usr/bin:/bin:$HADOOP_PREFIX/bin/:$PATH + +# Exposing a union of ports across hadoop versions +# Well known ports including ssh +EXPOSE 0-1024 4040 7000-10100 5000-5100 50000-50200 58188 58088 58042 + +ADD entrypoint.sh /entrypoint.sh +ADD export_container_ip.sh /usr/bin/ +RUN chmod a+x /usr/bin/export_container_ip.sh \ + && chmod a+x /entrypoint.sh + +ENTRYPOINT ["/bin/bash", "/entrypoint.sh"] + diff --git a/docker/hoodie/hadoop/base/entrypoint.sh b/docker/hoodie/hadoop/base/entrypoint.sh new file mode 100644 index 000000000..1495d5902 --- /dev/null +++ b/docker/hoodie/hadoop/base/entrypoint.sh @@ -0,0 +1,91 @@ +#!/bin/bash + + +####################################################################################### +## COPIED FROM ## +## https://github.com/big-data-europe/docker-hadoop/blob/master/base/entrypoint.sh ## +# ## +####################################################################################### + +# Set some sensible defaults +export CORE_CONF_fs_defaultFS=${CORE_CONF_fs_defaultFS:-hdfs://`hostname -f`:8020} + +function addProperty() { + local path=$1 + local name=$2 + local value=$3 + + local entry="$name${value}" + local escapedEntry=$(echo $entry | sed 's/\//\\\//g') + sed -i "/<\/configuration>/ s/.*/${escapedEntry}\n&/" $path +} + +function configure() { + local path=$1 + local module=$2 + local envPrefix=$3 + + local var + local value + + echo "Configuring $module" + for c in `printenv | perl -sne 'print "$1 " if m/^${envPrefix}_(.+?)=.*/' -- -envPrefix=$envPrefix`; do + name=`echo ${c} | perl -pe 's/___/-/g; s/__/@/g; s/_/./g; s/@/_/g;'` + var="${envPrefix}_${c}" + value=${!var} + echo " - Setting $name=$value" + addProperty /etc/hadoop/$module-site.xml $name "$value" + done +} + +configure /etc/hadoop/core-site.xml core CORE_CONF +configure /etc/hadoop/hdfs-site.xml hdfs HDFS_CONF +configure /etc/hadoop/yarn-site.xml yarn YARN_CONF +configure /etc/hadoop/httpfs-site.xml httpfs HTTPFS_CONF +configure /etc/hadoop/kms-site.xml kms KMS_CONF + +if [ "$MULTIHOMED_NETWORK" = "1" ]; then + echo "Configuring for multihomed network" + + # HDFS + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.rpc-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.servicerpc-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.http-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.https-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.client.use.datanode.hostname true + addProperty /etc/hadoop/hdfs-site.xml dfs.datanode.use.datanode.hostname true + + # YARN + addProperty /etc/hadoop/yarn-site.xml yarn.resourcemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.nodemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.nodemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.timeline-service.bind-host 0.0.0.0 + + # MAPRED + addProperty /etc/hadoop/mapred-site.xml yarn.nodemanager.bind-host 0.0.0.0 +fi + +if [ -n "$GANGLIA_HOST" ]; then + mv /etc/hadoop/hadoop-metrics.properties /etc/hadoop/hadoop-metrics.properties.orig + mv /etc/hadoop/hadoop-metrics2.properties /etc/hadoop/hadoop-metrics2.properties.orig + + for module in mapred jvm rpc ugi; do + echo "$module.class=org.apache.hadoop.metrics.ganglia.GangliaContext31" + echo "$module.period=10" + echo "$module.servers=$GANGLIA_HOST:8649" + done > /etc/hadoop/hadoop-metrics.properties + + for module in namenode datanode resourcemanager nodemanager mrappmaster jobhistoryserver; do + echo "$module.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31" + echo "$module.sink.ganglia.period=10" + echo "$module.sink.ganglia.supportsparse=true" + echo "$module.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both" + echo "$module.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40" + echo "$module.sink.ganglia.servers=$GANGLIA_HOST:8649" + done > /etc/hadoop/hadoop-metrics2.properties +fi + +# Save Container IP in ENV variable +/usr/bin/export_container_ip.sh + +exec "$@" diff --git a/docker/hoodie/hadoop/base/export_container_ip.sh b/docker/hoodie/hadoop/base/export_container_ip.sh new file mode 100755 index 000000000..bd8e1e61c --- /dev/null +++ b/docker/hoodie/hadoop/base/export_container_ip.sh @@ -0,0 +1,13 @@ +interfaces=( "en0" "eth0" ) + +ipAddr="" +for interface in "${interfaces[@]}" +do + ipAddr=`ifconfig $interface | grep -Eo 'inet (addr:)?([0-9]+\.){3}[0-9]+' | grep -Eo '([0-9]+\.){3}[0-9]+' | grep -v '127.0.0.1' | head` + if [ -n "$ipAddr" ]; then + break + fi +done + +echo "Container IP is set to : $ipAddr" +export MY_CONTAINER_IP=$ipAddr diff --git a/docker/hoodie/hadoop/base/pom.xml b/docker/hoodie/hadoop/base/pom.xml new file mode 100644 index 000000000..c975319e3 --- /dev/null +++ b/docker/hoodie/hadoop/base/pom.xml @@ -0,0 +1,90 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-base-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-docker + ${project.version} + pom + import + + + + + hoodie + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-base + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-base + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/datanode/Dockerfile b/docker/hoodie/hadoop/datanode/Dockerfile new file mode 100644 index 000000000..703a622cf --- /dev/null +++ b/docker/hoodie/hadoop/datanode/Dockerfile @@ -0,0 +1,14 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HADOOP_DN_PORT=50075 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-base:latest + +ENV HADOOP_DN_PORT ${HADOOP_DN_PORT} + +ENV HDFS_CONF_dfs_datanode_data_dir=file:///hadoop/dfs/data +RUN mkdir -p /hadoop/dfs/data +VOLUME /hadoop/dfs/data + +ADD run_dn.sh /run_dn.sh +RUN chmod a+x /run_dn.sh + +CMD ["/run_dn.sh"] diff --git a/docker/hoodie/hadoop/datanode/pom.xml b/docker/hoodie/hadoop/datanode/pom.xml new file mode 100644 index 000000000..94f5a4892 --- /dev/null +++ b/docker/hoodie/hadoop/datanode/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-datanode-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-base-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-datanode + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-datanode + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/datanode/run_dn.sh b/docker/hoodie/hadoop/datanode/run_dn.sh new file mode 100644 index 000000000..9f57ee254 --- /dev/null +++ b/docker/hoodie/hadoop/datanode/run_dn.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +datadir=`echo $HDFS_CONF_dfs_datanode_data_dir | perl -pe 's#file://##'` +if [ ! -d $datadir ]; then + echo "Datanode data directory not found: $datadir" + exit 2 +fi + +$HADOOP_PREFIX/bin/hdfs --config $HADOOP_CONF_DIR datanode diff --git a/docker/hoodie/hadoop/historyserver/Dockerfile b/docker/hoodie/hadoop/historyserver/Dockerfile new file mode 100644 index 000000000..d2e05e6da --- /dev/null +++ b/docker/hoodie/hadoop/historyserver/Dockerfile @@ -0,0 +1,14 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HADOOP_HISTORY_PORT=8188 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-base:latest + +ENV HADOOP_HISTORY_PORT ${HADOOP_HISTORY_PORT} + +ENV YARN_CONF_yarn_timeline___service_leveldb___timeline___store_path=/hadoop/yarn/timeline +RUN mkdir -p /hadoop/yarn/timeline +VOLUME /hadoop/yarn/timeline + +ADD run_history.sh /run_history.sh +RUN chmod a+x /run_history.sh + +CMD ["/run_history.sh"] diff --git a/docker/hoodie/hadoop/historyserver/pom.xml b/docker/hoodie/hadoop/historyserver/pom.xml new file mode 100644 index 000000000..2e7e00254 --- /dev/null +++ b/docker/hoodie/hadoop/historyserver/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-history-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-base-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-history + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-history + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/historyserver/run_history.sh b/docker/hoodie/hadoop/historyserver/run_history.sh new file mode 100644 index 000000000..1ce663321 --- /dev/null +++ b/docker/hoodie/hadoop/historyserver/run_history.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +$HADOOP_PREFIX/bin/yarn --config $HADOOP_CONF_DIR historyserver diff --git a/docker/hoodie/hadoop/hive_base/Dockerfile b/docker/hoodie/hadoop/hive_base/Dockerfile new file mode 100644 index 000000000..40ab1d10c --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/Dockerfile @@ -0,0 +1,51 @@ +ARG HADOOP_VERSION=2.8.4 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-base:latest + +ENV HIVE_HOME /opt/hive +ENV PATH $HIVE_HOME/bin:$PATH +ENV HADOOP_HOME /opt/hadoop-$HADOOP_VERSION + +WORKDIR /opt + +ARG HIVE_VERSION=2.3.3 +ARG HIVE_URL=https://archive.apache.org/dist/hive/hive-$HIVE_VERSION/apache-hive-$HIVE_VERSION-bin.tar.gz +ENV HIVE_VERSION ${HIVE_VERSION} +ENV HIVE_URL ${HIVE_URL} + +#Install Hive MySQL, PostgreSQL JDBC +RUN echo "Hive URL is :${HIVE_URL}" && wget ${HIVE_URL} -O hive.tar.gz && \ + tar -xzvf hive.tar.gz && mv *hive*-bin hive && \ + ln -s /usr/share/java/mysql-connector-java.jar $HIVE_HOME/lib/mysql-connector-java.jar && \ + wget https://jdbc.postgresql.org/download/postgresql-9.4.1212.jar -O $HIVE_HOME/lib/postgresql-jdbc.jar && \ + rm hive.tar.gz && mkdir -p /var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/ + +#Spark should be compiled with Hive to be able to use it +#hive-site.xml should be copied to $SPARK_HOME/conf folder + +#Custom configuration goes here +ADD conf/hive-site.xml $HADOOP_CONF_DIR +ADD conf/beeline-log4j2.properties $HIVE_HOME/conf +ADD conf/hive-env.sh $HIVE_HOME/conf +ADD conf/hive-exec-log4j2.properties $HIVE_HOME/conf +ADD conf/hive-log4j2.properties $HIVE_HOME/conf +ADD conf/ivysettings.xml $HIVE_HOME/conf +ADD conf/llap-daemon-log4j2.properties $HIVE_HOME/conf + +# Setup Hoodie Library jars +ADD target/ /var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/ + +ENV HUDI_HADOOP_BUNDLE=/var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/hoodie-hadoop-mr-bundle.jar +ENV HUDI_HIVE_BUNDLE=/var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/hoodie-hive-bundle.jar +ENV HUDI_SPARK_BUNDLE=/var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/hoodie-spark-bundle.jar +ENV HUDI_UTILITIES_BUNDLE=/var/hoodie/ws/docker/hoodie/hadoop/hive_base/target/hoodie-utilities.jar + +COPY startup.sh /usr/local/bin/ +RUN chmod +x /usr/local/bin/startup.sh + +COPY entrypoint.sh /usr/local/bin/ +RUN chmod +x /usr/local/bin/entrypoint.sh + +ENV PATH $HIVE_HOME/bin/:$PATH + +ENTRYPOINT ["entrypoint.sh"] +CMD startup.sh diff --git a/docker/hoodie/hadoop/hive_base/conf/beeline-log4j2.properties b/docker/hoodie/hadoop/hive_base/conf/beeline-log4j2.properties new file mode 100644 index 000000000..103d72253 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/beeline-log4j2.properties @@ -0,0 +1,45 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +status = INFO +name = BeelineLog4j2 +packages = org.apache.hadoop.hive.ql.log + +# list of properties +property.hive.log.level = WARN +property.hive.root.logger = console + +# list of all appenders +appenders = console + +# console appender +appender.console.type = Console +appender.console.name = console +appender.console.target = SYSTEM_ERR +appender.console.layout.type = PatternLayout +appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n + +# list of all loggers +loggers = HiveConnection + +# HiveConnection logs useful info for dynamic service discovery +logger.HiveConnection.name = org.apache.hive.jdbc.HiveConnection +logger.HiveConnection.level = INFO + +# root logger +rootLogger.level = ${sys:hive.log.level} +rootLogger.appenderRefs = root +rootLogger.appenderRef.root.ref = ${sys:hive.root.logger} diff --git a/docker/hoodie/hadoop/hive_base/conf/hive-env.sh b/docker/hoodie/hadoop/hive_base/conf/hive-env.sh new file mode 100644 index 000000000..91a2905d0 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/hive-env.sh @@ -0,0 +1,54 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Set Hive and Hadoop environment variables here. These variables can be used +# to control the execution of Hive. It should be used by admins to configure +# the Hive installation (so that users do not have to set environment variables +# or set command line parameters to get correct behavior). +# +# The hive service being invoked (CLI/HWI etc.) is available via the environment +# variable SERVICE + + +# Hive Client memory usage can be an issue if a large number of clients +# are running at the same time. The flags below have been useful in +# reducing memory usage: +# +# if [ "$SERVICE" = "cli" ]; then +# if [ -z "$DEBUG" ]; then +# export HADOOP_OPTS="$HADOOP_OPTS -XX:NewRatio=12 -Xms10m -XX:MaxHeapFreeRatio=40 -XX:MinHeapFreeRatio=15 -XX:+UseParNewGC -XX:-UseGCOverheadLimit" +# else +# export HADOOP_OPTS="$HADOOP_OPTS -XX:NewRatio=12 -Xms10m -XX:MaxHeapFreeRatio=40 -XX:MinHeapFreeRatio=15 -XX:-UseGCOverheadLimit" +# fi +# fi + +# The heap size of the jvm stared by hive shell script can be controlled via: +# +# export HADOOP_HEAPSIZE=1024 +# +# Larger heap size may be required when running queries over large number of files or partitions. +# By default hive shell scripts use a heap size of 256 (MB). Larger heap size would also be +# appropriate for hive server (hwi etc). + + +# Set HADOOP_HOME to point to a specific hadoop install directory +# HADOOP_HOME=${bin}/../../hadoop + +# Hive Configuration Directory can be controlled by: +# export HIVE_CONF_DIR= + +# Folder containing extra ibraries required for hive compilation/execution can be controlled by: +# export HIVE_AUX_JARS_PATH= diff --git a/docker/hoodie/hadoop/hive_base/conf/hive-exec-log4j2.properties b/docker/hoodie/hadoop/hive_base/conf/hive-exec-log4j2.properties new file mode 100644 index 000000000..4fba04ca3 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/hive-exec-log4j2.properties @@ -0,0 +1,66 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +status = INFO +name = HiveExecLog4j2 +packages = org.apache.hadoop.hive.ql.log + +# list of properties +property.hive.log.level = INFO +property.hive.root.logger = FA +property.hive.query.id = hadoop +property.hive.log.dir = ${sys:java.io.tmpdir}/${sys:user.name} +property.hive.log.file = ${sys:hive.query.id}.log + +# list of all appenders +appenders = console, FA + +# console appender +appender.console.type = Console +appender.console.name = console +appender.console.target = SYSTEM_ERR +appender.console.layout.type = PatternLayout +appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n + +# simple file appender +appender.FA.type = File +appender.FA.name = FA +appender.FA.fileName = ${sys:hive.log.dir}/${sys:hive.log.file} +appender.FA.layout.type = PatternLayout +appender.FA.layout.pattern = %d{ISO8601} %-5p [%t]: %c{2} (%F:%M(%L)) - %m%n + +# list of all loggers +loggers = NIOServerCnxn, ClientCnxnSocketNIO, DataNucleus, Datastore, JPOX + +logger.NIOServerCnxn.name = org.apache.zookeeper.server.NIOServerCnxn +logger.NIOServerCnxn.level = WARN + +logger.ClientCnxnSocketNIO.name = org.apache.zookeeper.ClientCnxnSocketNIO +logger.ClientCnxnSocketNIO.level = WARN + +logger.DataNucleus.name = DataNucleus +logger.DataNucleus.level = ERROR + +logger.Datastore.name = Datastore +logger.Datastore.level = ERROR + +logger.JPOX.name = JPOX +logger.JPOX.level = ERROR + +# root logger +rootLogger.level = ${sys:hive.log.level} +rootLogger.appenderRefs = root +rootLogger.appenderRef.root.ref = ${sys:hive.root.logger} diff --git a/docker/hoodie/hadoop/hive_base/conf/hive-log4j2.properties b/docker/hoodie/hadoop/hive_base/conf/hive-log4j2.properties new file mode 100644 index 000000000..12cd9acbc --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/hive-log4j2.properties @@ -0,0 +1,73 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +status = INFO +name = HiveLog4j2 +packages = org.apache.hadoop.hive.ql.log + +# list of properties +property.hive.log.level = INFO +property.hive.root.logger = DRFA +property.hive.log.dir = ${sys:java.io.tmpdir}/${sys:user.name} +property.hive.log.file = hive.log + +# list of all appenders +appenders = console, DRFA + +# console appender +appender.console.type = Console +appender.console.name = console +appender.console.target = SYSTEM_ERR +appender.console.layout.type = PatternLayout +appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} [%t]: %p %c{2}: %m%n + +# daily rolling file appender +appender.DRFA.type = RollingFile +appender.DRFA.name = DRFA +appender.DRFA.fileName = ${sys:hive.log.dir}/${sys:hive.log.file} +# Use %pid in the filePattern to append @ to the filename if you want separate log files for different CLI session +appender.DRFA.filePattern = ${sys:hive.log.dir}/${sys:hive.log.file}.%d{yyyy-MM-dd} +appender.DRFA.layout.type = PatternLayout +appender.DRFA.layout.pattern = %d{ISO8601} %-5p [%t]: %c{2} (%F:%M(%L)) - %m%n +appender.DRFA.policies.type = Policies +appender.DRFA.policies.time.type = TimeBasedTriggeringPolicy +appender.DRFA.policies.time.interval = 1 +appender.DRFA.policies.time.modulate = true +appender.DRFA.strategy.type = DefaultRolloverStrategy +appender.DRFA.strategy.max = 30 + +# list of all loggers +loggers = NIOServerCnxn, ClientCnxnSocketNIO, DataNucleus, Datastore, JPOX + +logger.NIOServerCnxn.name = org.apache.zookeeper.server.NIOServerCnxn +logger.NIOServerCnxn.level = WARN + +logger.ClientCnxnSocketNIO.name = org.apache.zookeeper.ClientCnxnSocketNIO +logger.ClientCnxnSocketNIO.level = WARN + +logger.DataNucleus.name = DataNucleus +logger.DataNucleus.level = ERROR + +logger.Datastore.name = Datastore +logger.Datastore.level = ERROR + +logger.JPOX.name = JPOX +logger.JPOX.level = ERROR + +# root logger +rootLogger.level = ${sys:hive.log.level} +rootLogger.appenderRefs = root +rootLogger.appenderRef.root.ref = ${sys:hive.root.logger} diff --git a/docker/hoodie/hadoop/hive_base/conf/hive-site.xml b/docker/hoodie/hadoop/hive_base/conf/hive-site.xml new file mode 100644 index 000000000..60f393591 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/hive-site.xml @@ -0,0 +1,18 @@ + + + diff --git a/docker/hoodie/hadoop/hive_base/conf/ivysettings.xml b/docker/hoodie/hadoop/hive_base/conf/ivysettings.xml new file mode 100644 index 000000000..aa10f438a --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/ivysettings.xml @@ -0,0 +1,45 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docker/hoodie/hadoop/hive_base/conf/llap-daemon-log4j2.properties b/docker/hoodie/hadoop/hive_base/conf/llap-daemon-log4j2.properties new file mode 100644 index 000000000..5051ca505 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/conf/llap-daemon-log4j2.properties @@ -0,0 +1,93 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +status = INFO +name = LlapDaemonLog4j2 +packages = org.apache.hadoop.hive.ql.log + +# list of properties +property.llap.daemon.log.level = INFO +property.llap.daemon.root.logger = console +property.llap.daemon.log.dir = . +property.llap.daemon.log.file = llapdaemon.log +property.llap.daemon.historylog.file = llapdaemon_history.log +property.llap.daemon.log.maxfilesize = 256MB +property.llap.daemon.log.maxbackupindex = 20 + +# list of all appenders +appenders = console, RFA, HISTORYAPPENDER + +# console appender +appender.console.type = Console +appender.console.name = console +appender.console.target = SYSTEM_ERR +appender.console.layout.type = PatternLayout +appender.console.layout.pattern = %d{yy/MM/dd HH:mm:ss} [%t%x] %p %c{2} : %m%n + +# rolling file appender +appender.RFA.type = RollingFile +appender.RFA.name = RFA +appender.RFA.fileName = ${sys:llap.daemon.log.dir}/${sys:llap.daemon.log.file} +appender.RFA.filePattern = ${sys:llap.daemon.log.dir}/${sys:llap.daemon.log.file}_%i +appender.RFA.layout.type = PatternLayout +appender.RFA.layout.pattern = %d{ISO8601} %-5p [%t%x]: %c{2} (%F:%M(%L)) - %m%n +appender.RFA.policies.type = Policies +appender.RFA.policies.size.type = SizeBasedTriggeringPolicy +appender.RFA.policies.size.size = ${sys:llap.daemon.log.maxfilesize} +appender.RFA.strategy.type = DefaultRolloverStrategy +appender.RFA.strategy.max = ${sys:llap.daemon.log.maxbackupindex} + +# history file appender +appender.HISTORYAPPENDER.type = RollingFile +appender.HISTORYAPPENDER.name = HISTORYAPPENDER +appender.HISTORYAPPENDER.fileName = ${sys:llap.daemon.log.dir}/${sys:llap.daemon.historylog.file} +appender.HISTORYAPPENDER.filePattern = ${sys:llap.daemon.log.dir}/${sys:llap.daemon.historylog.file}_%i +appender.HISTORYAPPENDER.layout.type = PatternLayout +appender.HISTORYAPPENDER.layout.pattern = %m%n +appender.HISTORYAPPENDER.policies.type = Policies +appender.HISTORYAPPENDER.policies.size.type = SizeBasedTriggeringPolicy +appender.HISTORYAPPENDER.policies.size.size = ${sys:llap.daemon.log.maxfilesize} +appender.HISTORYAPPENDER.strategy.type = DefaultRolloverStrategy +appender.HISTORYAPPENDER.strategy.max = ${sys:llap.daemon.log.maxbackupindex} + +# list of all loggers +loggers = NIOServerCnxn, ClientCnxnSocketNIO, DataNucleus, Datastore, JPOX, HistoryLogger + +logger.NIOServerCnxn.name = org.apache.zookeeper.server.NIOServerCnxn +logger.NIOServerCnxn.level = WARN + +logger.ClientCnxnSocketNIO.name = org.apache.zookeeper.ClientCnxnSocketNIO +logger.ClientCnxnSocketNIO.level = WARN + +logger.DataNucleus.name = DataNucleus +logger.DataNucleus.level = ERROR + +logger.Datastore.name = Datastore +logger.Datastore.level = ERROR + +logger.JPOX.name = JPOX +logger.JPOX.level = ERROR + +logger.HistoryLogger.name = org.apache.hadoop.hive.llap.daemon.HistoryLogger +logger.HistoryLogger.level = INFO +logger.HistoryLogger.additivity = false +logger.HistoryLogger.appenderRefs = HistoryAppender +logger.HistoryLogger.appenderRef.HistoryAppender.ref = HISTORYAPPENDER + +# root logger +rootLogger.level = ${sys:llap.daemon.log.level} +rootLogger.appenderRefs = root +rootLogger.appenderRef.root.ref = ${sys:llap.daemon.root.logger} diff --git a/docker/hoodie/hadoop/hive_base/entrypoint.sh b/docker/hoodie/hadoop/hive_base/entrypoint.sh new file mode 100644 index 000000000..da4c502b7 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/entrypoint.sh @@ -0,0 +1,118 @@ +#!/bin/bash + +# Set some sensible defaults +export CORE_CONF_fs_defaultFS=${CORE_CONF_fs_defaultFS:-hdfs://`hostname -f`:8020} + +function addProperty() { + local path=$1 + local name=$2 + local value=$3 + + local entry="$name${value}" + local escapedEntry=$(echo $entry | sed 's/\//\\\//g') + sed -i "/<\/configuration>/ s/.*/${escapedEntry}\n&/" $path +} + +function configure() { + local path=$1 + local module=$2 + local envPrefix=$3 + + local var + local value + + echo "Configuring $module" + for c in `printenv | perl -sne 'print "$1 " if m/^${envPrefix}_(.+?)=.*/' -- -envPrefix=$envPrefix`; do + name=`echo ${c} | perl -pe 's/___/-/g; s/__/_/g; s/_/./g'` + var="${envPrefix}_${c}" + value=${!var} + echo " - Setting $name=$value" + addProperty $path $name "$value" + done +} + +configure /etc/hadoop/core-site.xml core CORE_CONF +configure /etc/hadoop/hdfs-site.xml hdfs HDFS_CONF +configure /etc/hadoop/yarn-site.xml yarn YARN_CONF +configure /etc/hadoop/httpfs-site.xml httpfs HTTPFS_CONF +configure /etc/hadoop/kms-site.xml kms KMS_CONF +configure /etc/hadoop/mapred-site.xml mapred MAPRED_CONF +configure /etc/hadoop/hive-site.xml hive HIVE_SITE_CONF + +if [ "$MULTIHOMED_NETWORK" = "1" ]; then + echo "Configuring for multihomed network" + + # HDFS + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.rpc-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.servicerpc-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.http-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.namenode.https-bind-host 0.0.0.0 + addProperty /etc/hadoop/hdfs-site.xml dfs.client.use.datanode.hostname true + addProperty /etc/hadoop/hdfs-site.xml dfs.datanode.use.datanode.hostname true + + # YARN + addProperty /etc/hadoop/yarn-site.xml yarn.resourcemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.nodemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.nodemanager.bind-host 0.0.0.0 + addProperty /etc/hadoop/yarn-site.xml yarn.timeline-service.bind-host 0.0.0.0 + + # MAPRED + addProperty /etc/hadoop/mapred-site.xml yarn.nodemanager.bind-host 0.0.0.0 +fi + +if [ -n "$GANGLIA_HOST" ]; then + mv /etc/hadoop/hadoop-metrics.properties /etc/hadoop/hadoop-metrics.properties.orig + mv /etc/hadoop/hadoop-metrics2.properties /etc/hadoop/hadoop-metrics2.properties.orig + + for module in mapred jvm rpc ugi; do + echo "$module.class=org.apache.hadoop.metrics.ganglia.GangliaContext31" + echo "$module.period=10" + echo "$module.servers=$GANGLIA_HOST:8649" + done > /etc/hadoop/hadoop-metrics.properties + + for module in namenode datanode resourcemanager nodemanager mrappmaster jobhistoryserver; do + echo "$module.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31" + echo "$module.sink.ganglia.period=10" + echo "$module.sink.ganglia.supportsparse=true" + echo "$module.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both" + echo "$module.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40" + echo "$module.sink.ganglia.servers=$GANGLIA_HOST:8649" + done > /etc/hadoop/hadoop-metrics2.properties +fi + +function wait_for_it() +{ + local serviceport=$1 + local service=${serviceport%%:*} + local port=${serviceport#*:} + local retry_seconds=5 + local max_try=100 + let i=1 + + nc -z $service $port + result=$? + + until [ $result -eq 0 ]; do + echo "[$i/$max_try] check for ${service}:${port}..." + echo "[$i/$max_try] ${service}:${port} is not available yet" + if (( $i == $max_try )); then + echo "[$i/$max_try] ${service}:${port} is still not available; giving up after ${max_try} tries. :/" + exit 1 + fi + + echo "[$i/$max_try] try in ${retry_seconds}s once again ..." + let "i++" + sleep $retry_seconds + + nc -z $service $port + result=$? + done + echo "[$i/$max_try] $service:${port} is available." +} + +for i in ${SERVICE_PRECONDITION[@]} +do + wait_for_it ${i} +done + +exec $@ diff --git a/docker/hoodie/hadoop/hive_base/pom.xml b/docker/hoodie/hadoop/hive_base/pom.xml new file mode 100644 index 000000000..ec6b4fa6a --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/pom.xml @@ -0,0 +1,113 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-hive-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-base-docker + ${project.version} + pom + import + + + + + + + maven-antrun-plugin + 1.7 + + + package + + + + + + + + + + run + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version} + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version} + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/hive_base/startup.sh b/docker/hoodie/hadoop/hive_base/startup.sh new file mode 100644 index 000000000..d243e5609 --- /dev/null +++ b/docker/hoodie/hadoop/hive_base/startup.sh @@ -0,0 +1,10 @@ +#!/bin/bash + +hadoop fs -mkdir /tmp +hadoop fs -mkdir -p /user/hive/warehouse +hadoop fs -chmod g+w /tmp +hadoop fs -chmod g+w /user/hive/warehouse + +cd $HIVE_HOME/bin +export AUX_CLASSPATH=file://${HUDI_HADOOP_BUNDLE} +./hiveserver2 --hiveconf hive.server2.enable.doAs=false --hiveconf hive.aux.jars.path=file://${HUDI_HADOOP_BUNDLE} diff --git a/docker/hoodie/hadoop/namenode/Dockerfile b/docker/hoodie/hadoop/namenode/Dockerfile new file mode 100644 index 000000000..648032977 --- /dev/null +++ b/docker/hoodie/hadoop/namenode/Dockerfile @@ -0,0 +1,14 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HADOOP_WEBHDFS_PORT=50070 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-base:latest + +ENV HADOOP_WEBHDFS_PORT ${HADOOP_WEBHDFS_PORT} + +ENV HDFS_CONF_dfs_namenode_name_dir=file:///hadoop/dfs/name +RUN mkdir -p /hadoop/dfs/name +VOLUME /hadoop/dfs/name + +ADD run_nn.sh /run_nn.sh +RUN chmod a+x /run_nn.sh + +CMD ["/run_nn.sh"] diff --git a/docker/hoodie/hadoop/namenode/pom.xml b/docker/hoodie/hadoop/namenode/pom.xml new file mode 100644 index 000000000..2604a99a6 --- /dev/null +++ b/docker/hoodie/hadoop/namenode/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-namenode-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-base-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-namenode + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-namenode + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/namenode/run_nn.sh b/docker/hoodie/hadoop/namenode/run_nn.sh new file mode 100644 index 000000000..8ef079702 --- /dev/null +++ b/docker/hoodie/hadoop/namenode/run_nn.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +namedir=`echo $HDFS_CONF_dfs_namenode_name_dir | perl -pe 's#file://##'` +if [ ! -d $namedir ]; then + echo "Namenode name directory not found: $namedir" + exit 2 +fi + +if [ -z "$CLUSTER_NAME" ]; then + echo "Cluster name not specified" + exit 2 +fi + +if [ "`ls -A $namedir`" == "" ]; then + echo "Formatting namenode name directory: $namedir" + $HADOOP_PREFIX/bin/hdfs --config $HADOOP_CONF_DIR namenode -format $CLUSTER_NAME +fi + +$HADOOP_PREFIX/bin/hdfs --config $HADOOP_CONF_DIR namenode diff --git a/docker/hoodie/hadoop/pom.xml b/docker/hoodie/hadoop/pom.xml new file mode 100644 index 000000000..7ef639c7f --- /dev/null +++ b/docker/hoodie/hadoop/pom.xml @@ -0,0 +1,78 @@ + + + + + + hoodie + com.uber.hoodie + 0.4.5-SNAPSHOT + ../../../pom.xml + + 4.0.0 + + hoodie-hadoop-docker + pom + + base + namenode + datanode + historyserver + hive_base + spark_base + sparkmaster + sparkworker + sparkadhoc + + + + + com.uber.hoodie + hoodie-spark-bundle + ${project.version} + + + + + false + true + 2.3.1 + 2.3.3 + 2.8.4 + 1.4.3 + true + + + + + + com.spotify + dockerfile-maven-extension + ${dockerfile.maven.version} + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + true + + + + + diff --git a/docker/hoodie/hadoop/spark_base/Dockerfile b/docker/hoodie/hadoop/spark_base/Dockerfile new file mode 100644 index 000000000..badaaa690 --- /dev/null +++ b/docker/hoodie/hadoop/spark_base/Dockerfile @@ -0,0 +1,46 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HIVE_VERSION=2.3.3 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-hive_${HIVE_VERSION} + +ENV ENABLE_INIT_DAEMON true +ENV INIT_DAEMON_BASE_URI http://identifier/init-daemon +ENV INIT_DAEMON_STEP spark_master_init + +ARG SPARK_VERSION=2.3.1 +ARG SPARK_HADOOP_VERSION=2.7 + +ENV SPARK_VERSION ${SPARK_VERSION} +ENV HADOOP_VERSION ${SPARK_HADOOP_VERSION} + +COPY wait-for-step.sh / +COPY execute-step.sh / +COPY finish-step.sh / + +RUN echo "Installing Spark-version (${SPARK_VERSION})" \ + && wget http://apache.mirror.iphh.net/spark/spark-${SPARK_VERSION}/spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz \ + && tar -xvzf spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz \ + && mv spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} /opt/spark \ + && rm spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz \ + && cd / + +#Give permission to execute scripts +RUN chmod +x /wait-for-step.sh && chmod +x /execute-step.sh && chmod +x /finish-step.sh + +# Fix the value of PYTHONHASHSEED +# Note: this is needed when you use Python 3.3 or greater +ENV PYTHONHASHSEED 1 + +ENV SPARK_HOME /opt/spark +ENV SPARK_INSTALL ${SPARK_HOME} +ENV SPARK_CONF_DIR ${SPARK_HOME}/conf +ENV PATH $SPARK_INSTALL/bin:$PATH + +ENV SPARK_DRIVER_PORT 5001 +ENV SPARK_UI_PORT 5002 +ENV SPARK_BLOCKMGR_PORT 5003 + +EXPOSE $SPARK_DRIVER_PORT $SPARK_UI_PORT $SPARK_BLOCKMGR_PORT + +# Without this spark-shell fails - Download if it is not already there in $SPARK_INSTALL +RUN wget -nc -q -O "${SPARK_INSTALL}/jars/jersey-bundle-1.19.4.jar" "http://repo1.maven.org/maven2/com/sun/jersey/jersey-bundle/1.19.4/jersey-bundle-1.19.4.jar" + diff --git a/docker/hoodie/hadoop/spark_base/execute-step.sh b/docker/hoodie/hadoop/spark_base/execute-step.sh new file mode 100644 index 000000000..24131b6e2 --- /dev/null +++ b/docker/hoodie/hadoop/spark_base/execute-step.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +if [ $ENABLE_INIT_DAEMON = "true" ] + then + echo "Execute step ${INIT_DAEMON_STEP} in pipeline" + while true; do + sleep 5 + echo -n '.' + string=$(curl -sL -w "%{http_code}" -X PUT $INIT_DAEMON_BASE_URI/execute?step=$INIT_DAEMON_STEP -o /dev/null) + [ "$string" = "204" ] && break + done + echo "Notified execution of step ${INIT_DAEMON_STEP}" +fi + diff --git a/docker/hoodie/hadoop/spark_base/finish-step.sh b/docker/hoodie/hadoop/spark_base/finish-step.sh new file mode 100644 index 000000000..7403bd942 --- /dev/null +++ b/docker/hoodie/hadoop/spark_base/finish-step.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +if [ $ENABLE_INIT_DAEMON = "true" ] + then + echo "Finish step ${INIT_DAEMON_STEP} in pipeline" + while true; do + sleep 5 + echo -n '.' + string=$(curl -sL -w "%{http_code}" -X PUT $INIT_DAEMON_BASE_URI/finish?step=$INIT_DAEMON_STEP -o /dev/null) + [ "$string" = "204" ] && break + done + echo "Notified finish of step ${INIT_DAEMON_STEP}" +fi + + + diff --git a/docker/hoodie/hadoop/spark_base/pom.xml b/docker/hoodie/hadoop/spark_base/pom.xml new file mode 100644 index 000000000..fbd34e990 --- /dev/null +++ b/docker/hoodie/hadoop/spark_base/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-sparkbase-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-hive-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkbase_${docker.spark.version} + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkbase_${docker.spark.version} + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/spark_base/wait-for-step.sh b/docker/hoodie/hadoop/spark_base/wait-for-step.sh new file mode 100644 index 000000000..75e6996d3 --- /dev/null +++ b/docker/hoodie/hadoop/spark_base/wait-for-step.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +if [ $ENABLE_INIT_DAEMON = "true" ] + then + echo "Validating if step ${INIT_DAEMON_STEP} can start in pipeline" + while true; do + sleep 5 + echo -n '.' + string=$(curl -s $INIT_DAEMON_BASE_URI/canStart?step=$INIT_DAEMON_STEP) + [ "$string" = "true" ] && break + done + echo "Can start step ${INIT_DAEMON_STEP}" +fi diff --git a/docker/hoodie/hadoop/sparkadhoc/Dockerfile b/docker/hoodie/hadoop/sparkadhoc/Dockerfile new file mode 100644 index 000000000..8a731305d --- /dev/null +++ b/docker/hoodie/hadoop/sparkadhoc/Dockerfile @@ -0,0 +1,12 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HIVE_VERSION=2.3.3 +ARG SPARK_VERSION=2.3.1 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-hive_${HIVE_VERSION}-sparkbase_${SPARK_VERSION} + +COPY adhoc.sh /opt/spark + +ENV SPARK_WORKER_WEBUI_PORT 8081 +ENV SPARK_WORKER_LOG /spark/logs +ENV SPARK_MASTER "spark://spark-master:7077" + +CMD ["/bin/bash", "/opt/spark/adhoc.sh"] diff --git a/docker/hoodie/hadoop/sparkadhoc/adhoc.sh b/docker/hoodie/hadoop/sparkadhoc/adhoc.sh new file mode 100644 index 000000000..2e46d339e --- /dev/null +++ b/docker/hoodie/hadoop/sparkadhoc/adhoc.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +. "/spark/sbin/spark-config.sh" + +. "/spark/bin/load-spark-env.sh" + + +export SPARK_HOME=/opt/spark + +date +echo "SPARK HOME is : $SPARK_HOME" + +tail -f /dev/null diff --git a/docker/hoodie/hadoop/sparkadhoc/pom.xml b/docker/hoodie/hadoop/sparkadhoc/pom.xml new file mode 100644 index 000000000..b77a4c0a7 --- /dev/null +++ b/docker/hoodie/hadoop/sparkadhoc/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-sparkadhoc-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-sparkbase-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkadhoc_${docker.spark.version} + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkadhoc_${docker.spark.version} + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/sparkmaster/Dockerfile b/docker/hoodie/hadoop/sparkmaster/Dockerfile new file mode 100644 index 000000000..acfba8c69 --- /dev/null +++ b/docker/hoodie/hadoop/sparkmaster/Dockerfile @@ -0,0 +1,14 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HIVE_VERSION=2.3.3 +ARG SPARK_VERSION=2.3.1 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-hive_${HIVE_VERSION}-sparkbase_${SPARK_VERSION} + +COPY master.sh /opt/spark + +ENV SPARK_MASTER_PORT 7077 +ENV SPARK_MASTER_WEBUI_PORT 8080 +ENV SPARK_MASTER_LOG /opt/spark/logs + +EXPOSE 8080 7077 6066 + +CMD ["/bin/bash", "/opt/spark/master.sh"] diff --git a/docker/hoodie/hadoop/sparkmaster/master.sh b/docker/hoodie/hadoop/sparkmaster/master.sh new file mode 100644 index 000000000..64fc28906 --- /dev/null +++ b/docker/hoodie/hadoop/sparkmaster/master.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +export SPARK_MASTER_HOST=`hostname` + +. "/opt/spark/sbin/spark-config.sh" + +. "/opt/spark/bin/load-spark-env.sh" + +mkdir -p $SPARK_MASTER_LOG + +export SPARK_HOME=/opt/spark + +ln -sf /dev/stdout $SPARK_MASTER_LOG/spark-master.out + +cd /opt/spark/bin && /opt/spark/sbin/../bin/spark-class org.apache.spark.deploy.master.Master \ + --ip $SPARK_MASTER_HOST --port $SPARK_MASTER_PORT --webui-port $SPARK_MASTER_WEBUI_PORT >> $SPARK_MASTER_LOG/spark-master.out diff --git a/docker/hoodie/hadoop/sparkmaster/pom.xml b/docker/hoodie/hadoop/sparkmaster/pom.xml new file mode 100644 index 000000000..f988ed9ef --- /dev/null +++ b/docker/hoodie/hadoop/sparkmaster/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-sparkmaster-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-sparkbase-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkmaster_${docker.spark.version} + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkmaster_${docker.spark.version} + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/sparkworker/Dockerfile b/docker/hoodie/hadoop/sparkworker/Dockerfile new file mode 100644 index 000000000..acbddc077 --- /dev/null +++ b/docker/hoodie/hadoop/sparkworker/Dockerfile @@ -0,0 +1,14 @@ +ARG HADOOP_VERSION=2.8.4 +ARG HIVE_VERSION=2.3.3 +ARG SPARK_VERSION=2.3.1 +FROM varadarb/hudi-hadoop_${HADOOP_VERSION}-hive_${HIVE_VERSION}-sparkbase_${SPARK_VERSION} + +COPY worker.sh /opt/spark + +ENV SPARK_WORKER_WEBUI_PORT 8081 +ENV SPARK_WORKER_LOG /spark/logs +ENV SPARK_MASTER "spark://spark-master:7077" + +EXPOSE 8081 + +CMD ["/bin/bash", "/opt/spark/worker.sh"] diff --git a/docker/hoodie/hadoop/sparkworker/pom.xml b/docker/hoodie/hadoop/sparkworker/pom.xml new file mode 100644 index 000000000..93064bb11 --- /dev/null +++ b/docker/hoodie/hadoop/sparkworker/pom.xml @@ -0,0 +1,89 @@ + + + + + + hoodie-hadoop-docker + com.uber.hoodie + 0.4.5-SNAPSHOT + + 4.0.0 + pom + hoodie-hadoop-sparkworker-docker + + Base Docker Image with Hoodie + + + UTF-8 + true + + + + + com.uber.hoodie + hoodie-hadoop-sparkbase-docker + ${project.version} + pom + import + + + + + + + + com.spotify + dockerfile-maven-plugin + ${dockerfile.maven.version} + + + tag-latest + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkworker_${docker.spark.version} + true + latest + + + + tag-version + pre-integration-test + + build + tag + + + + ${docker.build.skip} + false + varadarb/hudi-hadoop_${docker.hadoop.version}-hive_${docker.hive.version}-sparkworker_${docker.spark.version} + true + ${project.version} + + + + + + + diff --git a/docker/hoodie/hadoop/sparkworker/worker.sh b/docker/hoodie/hadoop/sparkworker/worker.sh new file mode 100644 index 000000000..138741113 --- /dev/null +++ b/docker/hoodie/hadoop/sparkworker/worker.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +. "/spark/sbin/spark-config.sh" + +. "/spark/bin/load-spark-env.sh" + +mkdir -p $SPARK_WORKER_LOG + +export SPARK_HOME=/opt/spark + +ln -sf /dev/stdout $SPARK_WORKER_LOG/spark-worker.out + +date +echo "SPARK HOME is : $SPARK_HOME" +/opt/spark/sbin/../bin/spark-class org.apache.spark.deploy.worker.Worker \ + --webui-port $SPARK_WORKER_WEBUI_PORT $SPARK_MASTER >> $SPARK_WORKER_LOG/spark-worker.out diff --git a/docker/setup_demo.sh b/docker/setup_demo.sh new file mode 100755 index 000000000..efbae8472 --- /dev/null +++ b/docker/setup_demo.sh @@ -0,0 +1,16 @@ +# Create host mount directory and copy +mkdir -p /tmp/hadoop_name +mkdir -p /tmp/hadoop_data + +WS_ROOT=`dirname $PWD` +# restart cluster +HUDI_WS=${WS_ROOT} docker-compose -f compose/docker-compose_hadoop284_hive233_spark231.yml down +HUDI_WS=${WS_ROOT} docker-compose -f compose/docker-compose_hadoop284_hive233_spark231.yml pull +rm -rf /tmp/hadoop_data/* +rm -rf /tmp/hadoop_name/* +sleep 5 +HUDI_WS=${WS_ROOT} docker-compose -f compose/docker-compose_hadoop284_hive233_spark231.yml up -d +sleep 15 + +docker exec -it adhoc-1 /bin/bash /var/hoodie/ws/docker/demo/setup_demo_container.sh +docker exec -it adhoc-2 /bin/bash /var/hoodie/ws/docker/demo/setup_demo_container.sh diff --git a/docs/quickstart.md b/docs/quickstart.md index ea18c752f..d025f3e0d 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -14,11 +14,11 @@ Check out code and pull it into Intellij as a normal maven project. Normally build the maven project, from command line ``` -$ mvn clean install -DskipTests +$ mvn clean install -DskipTests -DskipITs To work with older version of Hive (pre Hive-1.2.1), use -$ mvn clean install -DskipTests -Dhive11 +$ mvn clean install -DskipTests -DskipITs -Dhive11 ``` @@ -293,6 +293,947 @@ hive> {% include note.html content="This is only supported for Read-optimized tables for now." %} +## A Demo using docker containers + +Lets use a real world example to see how hudi works end to end. For this purpose, a self contained +data infrastructure is brought up in a local docker cluster within your computer. + +The steps assume you are using Mac laptop + +### Prerequisites + + * Docker Setup : For Mac, Please follow the steps as defined in [https://docs.docker.com/v17.12/docker-for-mac/install/]. For running Spark-SQL queries, please ensure atleast 6 GB and 4 CPUs are allocated to Docker (See Docker -> Preferences -> Advanced). Otherwise, spark-SQL queries could be killed because of memory issues. + * kafkacat : A command-line utility to publish/consume from kafka topics. Use `brew install kafkacat` to install kafkacat + * /etc/hosts : The demo references many services running in container by the hostname. Add the following settings to /etc/hosts + + ``` + 127.0.0.1 adhoc-1 + 127.0.0.1 adhoc-2 + 127.0.0.1 namenode + 127.0.0.1 datanode1 + 127.0.0.1 hiveserver + 127.0.0.1 hivemetastore + 127.0.0.1 kafkabroker + 127.0.0.1 sparkmaster + 127.0.0.1 zookeeper + ``` + +### Setting up Docker Cluster +#### Build Hoodie +The first step is to build hoodie +``` +cd +mvn package -DskipTests +``` + +#### Bringing up Demo Cluster + +The next step is to run the docker compose script and setup configs for bringing up the cluster. +This should pull the docker images from docker hub and setup docker cluster. + +``` +cd docker +./setup_demo.sh +.... +.... +.... +Stopping spark-worker-1 ... done +Stopping hiveserver ... done +Stopping hivemetastore ... done +Stopping historyserver ... done +....... +...... +Creating network "hudi_demo" with the default driver +Creating hive-metastore-postgresql ... done +Creating namenode ... done +Creating zookeeper ... done +Creating kafkabroker ... done +Creating hivemetastore ... done +Creating historyserver ... done +Creating hiveserver ... done +Creating datanode1 ... done +Creating sparkmaster ... done +Creating adhoc-1 ... done +Creating adhoc-2 ... done +Creating spark-worker-1 ... done +Copying spark default config and setting up configs +Copying spark default config and setting up configs +Copying spark default config and setting up configs +varadarb-C02SG7Q3G8WP:docker varadarb$ docker ps +``` + +At this point, the docker cluster will be up and running. The demo cluster brings up the following services + + * HDFS Services (NameNode, DataNode) + * Spark Master and Worker + * Hive Services (Metastore, HiveServer2 along with PostgresDB) + * Kafka Broker and a Zookeeper Node (Kakfa will be used as upstream source for the demo) + * Adhoc containers to run Hudi/Hive CLI commands + +### Demo + +Stock Tracker data will be used to showcase both different Hudi Views and the effects of Compaction. + +Take a look at the directory `docker/demo/data`. There are 2 batches of stock data - each at 1 minute granularity. +The first batch contains stocker tracker data for some stock symbols during the first hour of trading window +(9:30 a.m to 10:30 a.m). The second batch contains tracker data for next 30 mins (10:30 - 11 a.m). Hudi will +be used to ingest these batches to a dataset which will contain the latest stock tracker data at hour level granularity. +The batches are windowed intentionally so that the second batch contains updates to some of the rows in the first batch. + +#### Step 1 : Publish the first batch to Kafka + +Upload the first batch to Kafka topic 'stock ticks' + +``` +cat docker/demo/data/batch_1.json | kafkacat -b kafkabroker -t stock_ticks -P + +To check if the new topic shows up, use +kafkacat -b kafkabroker -L -J | jq . +{ + "originating_broker": { + "id": 1001, + "name": "kafkabroker:9092/1001" + }, + "query": { + "topic": "*" + }, + "brokers": [ + { + "id": 1001, + "name": "kafkabroker:9092" + } + ], + "topics": [ + { + "topic": "stock_ticks", + "partitions": [ + { + "partition": 0, + "leader": 1001, + "replicas": [ + { + "id": 1001 + } + ], + "isrs": [ + { + "id": 1001 + } + ] + } + ] + } + ] +} + +``` + +#### Step 2: Incrementally ingest data from Kafka topic + +Hudi comes with a tool named DeltaStreamer. This tool can connect to variety of data sources (including Kafka) to +pull changes and apply to Hudi dataset using upsert/insert primitives. Here, we will use the tool to download +json data from kafka topic and ingest to both COW and MOR tables we initialized in the previous step. This tool +automatically initializes the datasets in the file-system if they do not exist yet. + +``` +docker exec -it adhoc-2 /bin/bash + +# Run the following spark-submit command to execute the delta-streamer and ingest to stock_ticks_cow dataset in HDFS +spark-submit --class com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer $HUDI_UTILITIES_BUNDLE --storage-type COPY_ON_WRITE --source-class com.uber.hoodie.utilities.sources.JsonKafkaSource --source-ordering-field ts --target-base-path /user/hive/warehouse/stock_ticks_cow --target-table stock_ticks_cow --props /var/demo/config/kafka-source.properties +.... +.... +2018-09-24 22:20:00 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint:54 - OutputCommitCoordinator stopped! +2018-09-24 22:20:00 INFO SparkContext:54 - Successfully stopped SparkContext +# Run the following spark-submit command to execute the delta-streamer and ingest to stock_ticks_mor dataset in HDFS +spark-submit --class com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer $HUDI_UTILITIES_BUNDLE --storage-type MERGE_ON_READ --source-class com.uber.hoodie.utilities.sources.JsonKafkaSource --source-ordering-field ts --target-base-path /user/hive/warehouse/stock_ticks_mor --target-table stock_ticks_mor --props /var/demo/config/kafka-source.properties +.... +2018-09-24 22:22:01 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint:54 - OutputCommitCoordinator stopped! +2018-09-24 22:22:01 INFO SparkContext:54 - Successfully stopped SparkContext +.... + +# As part of the setup (Look at setup_demo.sh), the configs needed for DeltaStreamer is uploaded to HDFS. The configs +# contain mostly Kafa connectivity settings, the avro-schema to be used for ingesting along with key and partitioning fields. + +exit +``` + +You can use HDFS web-browser to look at the datasets +`http://namenode:50070/explorer.html#/user/hive/warehouse/stock_ticks_cow`. + +You can explore the new partition folder created in the dataset along with a "deltacommit" +file under .hoodie which signals a successful commit. + +There will be a similar setup when you browse the MOR dataset +`http://namenode:50070/explorer.html#/user/hive/warehouse/stock_ticks_mor` + + +#### Step 3: Sync with Hive + +At this step, the datasets are available in HDFS. We need to sync with Hive to create new Hive tables and add partitions +inorder to run Hive queries against those datasets. + +``` +docker exec -it adhoc-2 /bin/bash + +# THis command takes in HIveServer URL and COW Hudi Dataset location in HDFS and sync the HDFS state to Hive +/var/hoodie/ws/hoodie-hive/run_sync_tool.sh --jdbc-url jdbc:hive2://hiveserver:10000 --user hive --pass hive --partitioned-by dt --base-path /user/hive/warehouse/stock_ticks_cow --database default --table stock_ticks_cow +..... +2018-09-24 22:22:45,568 INFO [main] hive.HiveSyncTool (HiveSyncTool.java:syncHoodieTable(112)) - Sync complete for stock_ticks_cow +..... + +# Now run hive-sync for the second data-set in HDFS using Merge-On-Read (MOR storage) +/var/hoodie/ws/hoodie-hive/run_sync_tool.sh --jdbc-url jdbc:hive2://hiveserver:10000 --user hive --pass hive --partitioned-by dt --base-path /user/hive/warehouse/stock_ticks_mor --database default --table stock_ticks_mor +... +2018-09-24 22:23:09,171 INFO [main] hive.HiveSyncTool (HiveSyncTool.java:syncHoodieTable(112)) - Sync complete for stock_ticks_mor +... +2018-09-24 22:23:09,559 INFO [main] hive.HiveSyncTool (HiveSyncTool.java:syncHoodieTable(112)) - Sync complete for stock_ticks_mor_rt +.... +exit +``` +After executing the above command, you will notice + +1. A hive table named `stock_ticks_cow` created which provides Read-Optimized view for the Copy On Write dataset. +2. Two new tables `stock_ticks_mor` and `stock_ticks_mor_rt` created for the Merge On Read dataset. The former +provides the ReadOptimized view for the Hudi dataset and the later provides the realtime-view for the dataset. + + +#### Step 4 (a): Run Hive Queries + +Run a hive query to find the latest timestamp ingested for stock symbol 'GOOG'. You will notice that both read-optimized +(for both COW and MOR dataset)and realtime views (for MOR dataset)give the same value "10:29 a.m" as Hudi create a +parquet file for the first batch of data. + +``` +docker exec -it adhoc-2 /bin/bash +beeline -u jdbc:hive2://hiveserver:10000 --hiveconf hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat --hiveconf hive.stats.autogather=false +# List Tables +0: jdbc:hive2://hiveserver:10000> show tables; ++---------------------+--+ +| tab_name | ++---------------------+--+ +| stock_ticks_cow | +| stock_ticks_mor | +| stock_ticks_mor_rt | ++---------------------+--+ +2 rows selected (0.801 seconds) +0: jdbc:hive2://hiveserver:10000> + + +# Look at partitions that were added +0: jdbc:hive2://hiveserver:10000> show partitions stock_ticks_mor_rt; ++----------------+--+ +| partition | ++----------------+--+ +| dt=2018-08-31 | ++----------------+--+ +1 row selected (0.24 seconds) + + +# COPY-ON-WRITE Queries: +========================= + + +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_cow group by symbol HAVING symbol = 'GOOG'; ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:29:00 | ++---------+----------------------+--+ + +Now, run a projection query: + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924221953 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924221953 | GOOG | 2018-08-31 10:29:00 | 3391 | 1230.1899 | 1230.085 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + + +# Merge-On-Read Queries: +========================== + +Lets run similar queries against M-O-R dataset. Lets look at both +ReadOptimized and Realtime views supported by M-O-R dataset + +# Run against ReadOptimized View. Notice that the latest timestamp is 10:29 +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:29:00 | ++---------+----------------------+--+ +1 row selected (6.326 seconds) + + +# Run against Realtime View. Notice that the latest timestamp is again 10:29 + +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:29:00 | ++---------+----------------------+--+ +1 row selected (1.606 seconds) + + +# Run projection query against Read Optimized and Realtime tables + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924222155 | GOOG | 2018-08-31 10:29:00 | 3391 | 1230.1899 | 1230.085 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924222155 | GOOG | 2018-08-31 10:29:00 | 3391 | 1230.1899 | 1230.085 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +exit +exit +``` + +#### Step 4 (b): Run Spark-SQL Queries +Hudi support Spark as query processor just like Hive. Here are the same hive queries +running in spark-sql + +``` +docker exec -it adhoc-1 /bin/bash +$SPARK_INSTALL/bin/spark-shell --jars $HUDI_SPARK_BUNDLE --master local[2] --driver-class-path $HADOOP_CONF_DIR --conf spark.sql.hive.convertMetastoreParquet=false --deploy-mode client --driver-memory 1G --executor-memory 3G --num-executors 1 --packages com.databricks:spark-avro_2.11:4.0.0 +... + +Welcome to + ____ __ + / __/__ ___ _____/ /__ + _\ \/ _ \/ _ `/ __/ '_/ + /___/ .__/\_,_/_/ /_/\_\ version 2.3.1 + /_/ + +Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181) +Type in expressions to have them evaluated. +Type :help for more information. + +scala> +scala> spark.sql("show tables").show(100, false) ++--------+------------------+-----------+ +|database|tableName |isTemporary| ++--------+------------------+-----------+ +|default |stock_ticks_cow |false | +|default |stock_ticks_mor |false | +|default |stock_ticks_mor_rt|false | ++--------+------------------+-----------+ + +# Copy-On-Write Table + +## Run max timestamp query against COW table + +scala> spark.sql("select symbol, max(ts) from stock_ticks_cow group by symbol HAVING symbol = 'GOOG'").show(100, false) +[Stage 0:> (0 + 1) / 1]SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". +SLF4J: Defaulting to no-operation (NOP) logger implementation +SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. ++------+-------------------+ +|symbol|max(ts) | ++------+-------------------+ +|GOOG |2018-08-31 10:29:00| ++------+-------------------+ + +## Projection Query + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'").show(100, false) ++-------------------+------+-------------------+------+---------+--------+ +|_hoodie_commit_time|symbol|ts |volume|open |close | ++-------------------+------+-------------------+------+---------+--------+ +|20180924221953 |GOOG |2018-08-31 09:59:00|6330 |1230.5 |1230.02 | +|20180924221953 |GOOG |2018-08-31 10:29:00|3391 |1230.1899|1230.085| ++-------------------+------+-------------------+------+---------+--------+ + +# Merge-On-Read Queries: +========================== + +Lets run similar queries against M-O-R dataset. Lets look at both +ReadOptimized and Realtime views supported by M-O-R dataset + +# Run against ReadOptimized View. Notice that the latest timestamp is 10:29 +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'").show(100, false) ++------+-------------------+ +|symbol|max(ts) | ++------+-------------------+ +|GOOG |2018-08-31 10:29:00| ++------+-------------------+ + + +# Run against Realtime View. Notice that the latest timestamp is again 10:29 + +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'").show(100, false) ++------+-------------------+ +|symbol|max(ts) | ++------+-------------------+ +|GOOG |2018-08-31 10:29:00| ++------+-------------------+ + +# Run projection query against Read Optimized and Realtime tables + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'").show(100, false) ++-------------------+------+-------------------+------+---------+--------+ +|_hoodie_commit_time|symbol|ts |volume|open |close | ++-------------------+------+-------------------+------+---------+--------+ +|20180924222155 |GOOG |2018-08-31 09:59:00|6330 |1230.5 |1230.02 | +|20180924222155 |GOOG |2018-08-31 10:29:00|3391 |1230.1899|1230.085| ++-------------------+------+-------------------+------+---------+--------+ + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false) ++-------------------+------+-------------------+------+---------+--------+ +|_hoodie_commit_time|symbol|ts |volume|open |close | ++-------------------+------+-------------------+------+---------+--------+ +|20180924222155 |GOOG |2018-08-31 09:59:00|6330 |1230.5 |1230.02 | +|20180924222155 |GOOG |2018-08-31 10:29:00|3391 |1230.1899|1230.085| ++-------------------+------+-------------------+------+---------+--------+ + +``` + + +#### Step 5: Upload second batch to Kafka and run DeltaStreamer to ingest + +Upload the second batch of data and ingest this batch using delta-streamer. As this batch does not bring in any new +partitions, there is no need to run hive-sync + +``` +cat docker/demo/data/batch_2.json | kafkacat -b kafkabroker -t stock_ticks -P + +# Within Docker container, run the ingestion command +docker exec -it adhoc-2 /bin/bash + +# Run the following spark-submit command to execute the delta-streamer and ingest to stock_ticks_cow dataset in HDFS +spark-submit --class com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer $HUDI_UTILITIES_BUNDLE --storage-type COPY_ON_WRITE --source-class com.uber.hoodie.utilities.sources.JsonKafkaSource --source-ordering-field ts --target-base-path /user/hive/warehouse/stock_ticks_cow --target-table stock_ticks_cow --props /var/demo/config/kafka-source.properties + +# Run the following spark-submit command to execute the delta-streamer and ingest to stock_ticks_mor dataset in HDFS +spark-submit --class com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer $HUDI_UTILITIES_BUNDLE --storage-type MERGE_ON_READ --source-class com.uber.hoodie.utilities.sources.JsonKafkaSource --source-ordering-field ts --target-base-path /user/hive/warehouse/stock_ticks_mor --target-table stock_ticks_mor --props /var/demo/config/kafka-source.properties + +exit +``` +With Copy-On-Write table, the second ingestion by DeltaStreamer resulted in a new version of Parquet file getting created. +See `http://namenode:50070/explorer.html#/user/hive/warehouse/stock_ticks_cow/2018/08/31` + +With Merge-On-Read table, the second ingestion merely appended the batch to an unmerged delta (log) file. +Take a look at the HDFS filesystem to get an idea: `http://namenode:50070/explorer.html#/user/hive/warehouse/stock_ticks_mor/2018/08/31` + +#### Step 6(a): Run Hive Queries + +With Copy-On-Write table, the read-optimized view immediately sees the changes as part of second batch once the batch +got committed as each ingestion creates newer versions of parquet files. + +With Merge-On-Read table, the second ingestion merely appended the batch to an unmerged delta (log) file. +This is the time, when ReadOptimized and Realtime views will provide different results. ReadOptimized view will still +return "10:29 am" as it will only read from the Parquet file. Realtime View will do on-the-fly merge and return +latest committed data which is "10:59 a.m". + +``` +docker exec -it adhoc-2 /bin/bash +beeline -u jdbc:hive2://hiveserver:10000 --hiveconf hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat --hiveconf hive.stats.autogather=false + +# Copy On Write Table: + +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_cow group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ +1 row selected (1.932 seconds) + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924221953 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924224524 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +As you can notice, the above queries now reflect the changes that came as part of ingesting second batch. + + +# Merge On Read Table: + +# Read Optimized View +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:29:00 | ++---------+----------------------+--+ +1 row selected (1.6 seconds) + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924222155 | GOOG | 2018-08-31 10:29:00 | 3391 | 1230.1899 | 1230.085 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +# Realtime View +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924224537 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +exit +exit +``` + +#### Step 6(b): Run Spark SQL Queries + +Running the same queries in Spark-SQL: + +``` +docker exec -it adhoc-1 /bin/bash +bash-4.4# $SPARK_INSTALL/bin/spark-shell --jars $HUDI_SPARK_BUNDLE --driver-class-path $HADOOP_CONF_DIR --conf spark.sql.hive.convertMetastoreParquet=false --deploy-mode client --driver-memory 1G --master local[2] --executor-memory 3G --num-executors 1 --packages com.databricks:spark-avro_2.11:4.0.0 + +# Copy On Write Table: + +scala> spark.sql("select symbol, max(ts) from stock_ticks_cow group by symbol HAVING symbol = 'GOOG'").show(100, false) ++------+-------------------+ +|symbol|max(ts) | ++------+-------------------+ +|GOOG |2018-08-31 10:59:00| ++------+-------------------+ + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'").show(100, false) + ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924221953 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924224524 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +As you can notice, the above queries now reflect the changes that came as part of ingesting second batch. + + +# Merge On Read Table: + +# Read Optimized View +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'").show(100, false) ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:29:00 | ++---------+----------------------+--+ +1 row selected (1.6 seconds) + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'").show(100, false) ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924222155 | GOOG | 2018-08-31 10:29:00 | 3391 | 1230.1899 | 1230.085 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +# Realtime View +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'").show(100, false) ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false) ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924222155 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924224537 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +exit +exit +``` + +#### Step 7 : Incremental Query for COPY-ON-WRITE Table + +With 2 batches of data ingested, lets showcase the support for incremental queries in Hudi Copy-On-Write datasets + +Lets take the same projection query example +``` +docker exec -it adhoc-2 /bin/bash +beeline -u jdbc:hive2://hiveserver:10000 --hiveconf hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat --hiveconf hive.stats.autogather=false + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924064621 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924065039 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +``` + +As you notice from the above queries, there are 2 commits - 20180924064621 and 20180924065039 in timeline order. +When you follow the steps, you will be getting different timestamps for commits. Substitute them +in place of the above timestamps. + +To show the effects of incremental-query, let us assume that a reader has already seen the changes as part of +ingesting first batch. Now, for the reader to see effect of the second batch, he/she has to keep the start timestamp to +the commit time of the first batch (20180924064621) and run incremental query + +`Hudi incremental mode` provides efficient scanning for incremental queries by filtering out files that do not have any +candidate rows using hudi-managed metadata. + +``` +docker exec -it adhoc-2 /bin/bash +beeline -u jdbc:hive2://hiveserver:10000 --hiveconf hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat --hiveconf hive.stats.autogather=false +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_cow.consume.mode=INCREMENTAL; +No rows affected (0.009 seconds) +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_cow.consume.max.commits=3; +No rows affected (0.009 seconds) +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_cow.consume.start.timestamp=20180924064621; + +# With the above setting, file-ids that do not have any updates from the commit 20180924065039 is filtered out without scanning. +# Here is the incremental query : + +0: jdbc:hive2://hiveserver:10000> +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG' and `_hoodie_commit_time` > '20180924064621'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924065039 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +1 row selected (0.83 seconds) +0: jdbc:hive2://hiveserver:10000> +``` + +##### Incremental Query with Spark SQL: +``` +docker exec -it adhoc-1 /bin/bash +bash-4.4# $SPARK_INSTALL/bin/spark-shell --jars $HUDI_SPARK_BUNDLE --driver-class-path $HADOOP_CONF_DIR --conf spark.sql.hive.convertMetastoreParquet=false --deploy-mode client --driver-memory 1G --master local[2] --executor-memory 3G --num-executors 1 --packages com.databricks:spark-avro_2.11:4.0.0 +Welcome to + ____ __ + / __/__ ___ _____/ /__ + _\ \/ _ \/ _ `/ __/ '_/ + /___/ .__/\_,_/_/ /_/\_\ version 2.3.1 + /_/ + +Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181) +Type in expressions to have them evaluated. +Type :help for more information. + +scala> import com.uber.hoodie.DataSourceReadOptions +import com.uber.hoodie.DataSourceReadOptions + +# In the below query, 20180925045257 is the first commit's timestamp +scala> val hoodieIncViewDF = spark.read.format("com.uber.hoodie").option(DataSourceReadOptions.VIEW_TYPE_OPT_KEY, DataSourceReadOptions.VIEW_TYPE_INCREMENTAL_OPT_VAL).option(DataSourceReadOptions.BEGIN_INSTANTTIME_OPT_KEY, "20180924064621").load("/user/hive/warehouse/stock_ticks_cow") +SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". +SLF4J: Defaulting to no-operation (NOP) logger implementation +SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. +hoodieIncViewDF: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, _hoodie_commit_seqno: string ... 15 more fields] + +scala> hoodieIncViewDF.registerTempTable("stock_ticks_cow_incr_tmp1") +warning: there was one deprecation warning; re-run with -deprecation for details + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow_incr_tmp1 where symbol = 'GOOG'").show(100, false); ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924065039 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +``` + + +#### Step 8: Schedule and Run Compaction for Merge-On-Read dataset + +Lets schedule and run a compaction to create a new version of columnar file so that read-optimized readers will see fresher data. +Again, You can use Hudi CLI to manually schedule and run compaction + +``` +docker exec -it adhoc-1 /bin/bash +^[[Aroot@adhoc-1:/opt# /var/hoodie/ws/hoodie-cli/hoodie-cli.sh +============================================ +* * +* _ _ _ _ * +* | | | | | (_) * +* | |__| | ___ ___ __| |_ ___ * +* | __ |/ _ \ / _ \ / _` | |/ _ \ * +* | | | | (_) | (_) | (_| | | __/ * +* |_| |_|\___/ \___/ \__,_|_|\___| * +* * +============================================ + +Welcome to Hoodie CLI. Please type help if you are looking for help. +hoodie->connect --path /user/hive/warehouse/stock_ticks_mor +18/09/24 06:59:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable +18/09/24 06:59:35 INFO table.HoodieTableMetaClient: Loading HoodieTableMetaClient from /user/hive/warehouse/stock_ticks_mor +18/09/24 06:59:35 INFO util.FSUtils: Hadoop Configuration: fs.defaultFS: [hdfs://namenode:8020], Config:[Configuration: core-default.xml, core-site.xml, mapred-default.xml, mapred-site.xml, yarn-default.xml, yarn-site.xml, hdfs-default.xml, hdfs-site.xml], FileSystem: [DFS[DFSClient[clientName=DFSClient_NONMAPREDUCE_-1261652683_11, ugi=root (auth:SIMPLE)]]] +18/09/24 06:59:35 INFO table.HoodieTableConfig: Loading dataset properties from /user/hive/warehouse/stock_ticks_mor/.hoodie/hoodie.properties +18/09/24 06:59:36 INFO table.HoodieTableMetaClient: Finished Loading Table of type MERGE_ON_READ from /user/hive/warehouse/stock_ticks_mor +Metadata for table stock_ticks_mor loaded + +# Ensure no compactions are present + +hoodie:stock_ticks_mor->compactions show all +18/09/24 06:59:54 INFO timeline.HoodieActiveTimeline: Loaded instants [[20180924064636__clean__COMPLETED], [20180924064636__deltacommit__COMPLETED], [20180924065057__clean__COMPLETED], [20180924065057__deltacommit__COMPLETED]] + ___________________________________________________________________ + | Compaction Instant Time| State | Total FileIds to be Compacted| + |==================================================================| + +# Schedule a compaction. This will use Spark Launcher to schedule compaction +hoodie:stock_ticks_mor->compaction schedule +.... +Compaction successfully completed for 20180924070031 + +# Now refresh and check again. You will see that there is a new compaction requested + +hoodie:stock_ticks->connect --path /user/hive/warehouse/stock_ticks_mor +18/09/24 07:01:16 INFO table.HoodieTableMetaClient: Loading HoodieTableMetaClient from /user/hive/warehouse/stock_ticks_mor +18/09/24 07:01:16 INFO util.FSUtils: Hadoop Configuration: fs.defaultFS: [hdfs://namenode:8020], Config:[Configuration: core-default.xml, core-site.xml, mapred-default.xml, mapred-site.xml, yarn-default.xml, yarn-site.xml, hdfs-default.xml, hdfs-site.xml], FileSystem: [DFS[DFSClient[clientName=DFSClient_NONMAPREDUCE_-1261652683_11, ugi=root (auth:SIMPLE)]]] +18/09/24 07:01:16 INFO table.HoodieTableConfig: Loading dataset properties from /user/hive/warehouse/stock_ticks_mor/.hoodie/hoodie.properties +18/09/24 07:01:16 INFO table.HoodieTableMetaClient: Finished Loading Table of type MERGE_ON_READ from /user/hive/warehouse/stock_ticks_mor +Metadata for table stock_ticks_mor loaded + +hoodie:stock_ticks_mor->compactions show all +18/09/24 06:34:12 INFO timeline.HoodieActiveTimeline: Loaded instants [[20180924041125__clean__COMPLETED], [20180924041125__deltacommit__COMPLETED], [20180924042735__clean__COMPLETED], [20180924042735__deltacommit__COMPLETED], [==>20180924063245__compaction__REQUESTED]] + ___________________________________________________________________ + | Compaction Instant Time| State | Total FileIds to be Compacted| + |==================================================================| + | 20180924070031 | REQUESTED| 1 | + +# Execute the compaction. The compaction instant value passed below must be the one displayed in the above "compactions show all" query +hoodie:stock_ticks_mor->compaction run --compactionInstant 20180924070031 --parallelism 2 --sparkMemory 1G --schemaFilePath /var/demo/config/schema.avsc --retry 1 +.... +Compaction successfully completed for 20180924070031 + + +## Now check if compaction is completed + +hoodie:stock_ticks_mor->connect --path /user/hive/warehouse/stock_ticks_mor +18/09/24 07:03:00 INFO table.HoodieTableMetaClient: Loading HoodieTableMetaClient from /user/hive/warehouse/stock_ticks_mor +18/09/24 07:03:00 INFO util.FSUtils: Hadoop Configuration: fs.defaultFS: [hdfs://namenode:8020], Config:[Configuration: core-default.xml, core-site.xml, mapred-default.xml, mapred-site.xml, yarn-default.xml, yarn-site.xml, hdfs-default.xml, hdfs-site.xml], FileSystem: [DFS[DFSClient[clientName=DFSClient_NONMAPREDUCE_-1261652683_11, ugi=root (auth:SIMPLE)]]] +18/09/24 07:03:00 INFO table.HoodieTableConfig: Loading dataset properties from /user/hive/warehouse/stock_ticks_mor/.hoodie/hoodie.properties +18/09/24 07:03:00 INFO table.HoodieTableMetaClient: Finished Loading Table of type MERGE_ON_READ from /user/hive/warehouse/stock_ticks_mor +Metadata for table stock_ticks_mor loaded + +hoodie:stock_ticks->compactions show all +18/09/24 07:03:15 INFO timeline.HoodieActiveTimeline: Loaded instants [[20180924064636__clean__COMPLETED], [20180924064636__deltacommit__COMPLETED], [20180924065057__clean__COMPLETED], [20180924065057__deltacommit__COMPLETED], [20180924070031__commit__COMPLETED]] + ___________________________________________________________________ + | Compaction Instant Time| State | Total FileIds to be Compacted| + |==================================================================| + | 20180924070031 | COMPLETED| 1 | + +``` + +#### Step 9: Run Hive Queries including incremental queries + +You will see that both ReadOptimized and Realtime Views will show the latest committed data. +Lets also run the incremental query for MOR table. +From looking at the below query output, it will be clear that the fist commit time for the MOR table is 20180924064636 +and the second commit time is 20180924070031 + +``` +docker exec -it adhoc-2 /bin/bash +beeline -u jdbc:hive2://hiveserver:10000 --hiveconf hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat --hiveconf hive.stats.autogather=false + +# Read Optimized View +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ +1 row selected (1.6 seconds) + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924064636 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924070031 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +# Realtime View +0: jdbc:hive2://hiveserver:10000> select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'; +WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ + +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924064636 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924070031 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +# Incremental View: + +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_mor.consume.mode=INCREMENTAL; +No rows affected (0.008 seconds) +# Max-Commits covers both second batch and compaction commit +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_mor.consume.max.commits=3; +No rows affected (0.007 seconds) +0: jdbc:hive2://hiveserver:10000> set hoodie.stock_ticks_mor.consume.start.timestamp=20180924064636; +No rows affected (0.013 seconds) +# Query: +0: jdbc:hive2://hiveserver:10000> select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG' and `_hoodie_commit_time` > '20180924064636'; ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924070031 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +exit +exit +``` + +##### Read Optimized and Realtime Views for MOR with Spark-SQL after compaction + +``` +docker exec -it adhoc-1 /bin/bash +bash-4.4# $SPARK_INSTALL/bin/spark-shell --jars $HUDI_SPARK_BUNDLE --driver-class-path $HADOOP_CONF_DIR --conf spark.sql.hive.convertMetastoreParquet=false --deploy-mode client --driver-memory 1G --master local[2] --executor-memory 3G --num-executors 1 --packages com.databricks:spark-avro_2.11:4.0.0 + +# Read Optimized View +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'").show(100, false) ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ +1 row selected (1.6 seconds) + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'").show(100, false) ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924064636 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924070031 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ + +# Realtime View +scala> spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'").show(100, false) ++---------+----------------------+--+ +| symbol | _c1 | ++---------+----------------------+--+ +| GOOG | 2018-08-31 10:59:00 | ++---------+----------------------+--+ + +scala> spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false) ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| _hoodie_commit_time | symbol | ts | volume | open | close | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +| 20180924064636 | GOOG | 2018-08-31 09:59:00 | 6330 | 1230.5 | 1230.02 | +| 20180924070031 | GOOG | 2018-08-31 10:59:00 | 9021 | 1227.1993 | 1227.215 | ++----------------------+---------+----------------------+---------+------------+-----------+--+ +``` + + +This brings the demo to an end. + +## Testing Hoodie in Local Docker environment + +You can bring up a hadoop docker environment containing Hadoop, Hive and Spark services with support for hoodie. +``` +$ mvn pre-integration-test -DskipTests +``` +The above command builds docker images for all the services with +current hoodie source installed at /var/hoodie/ws and also brings up the services using a compose file. We +currently use Hadoop (v2.8.4), Hive (v2.3.3) and Spark (v2.3.1) in docker images. + +To bring down the containers +``` +$ cd hoodie-integ-test +$ mvn docker-compose:down +``` + +If you want to bring up the docker containers, use +``` +$ cd hoodie-integ-test +$ mvn docker-compose:up -DdetachedMode=true +``` + +Hoodie is a library that is operated in a broader data analytics/ingestion environment +involving Hadoop, Hive and Spark. Interoperability with all these systems is a key objective for us. We are +actively adding integration-tests under __hoodie-integ-test/src/test/java__ that makes use of this +docker environment (See __hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestHoodieSanity.java__ ) + + +#### Building Local Docker Containers: + +The docker images required for demo and running integration test are already in docker-hub. The docker images +and compose scripts are carefully implemented so that they serve dual-purpose + +1. The docker images have inbuilt hudi jar files with environment variable pointing to those jars (HUDI_HADOOP_BUNDLE, ...) +2. For running integration-tests, we need the jars generated locally to be used for running services within docker. The + docker-compose scripts (see `docker/compose/docker-compose_hadoop284_hive233_spark231.yml`) ensures local jars override + inbuilt jars by mounting local HUDI workspace over the docker location + +This helps avoid maintaining separate docker images and avoids the costly step of building HUDI docker images locally. +But if users want to test hudi from locations with lower network bandwidth, they can still build local images +run the script +`docker/build_local_docker_images.sh` to build local docker images before running `docker/setup_demo.sh` + +Here are the commands: + +``` +cd docker +./build_local_docker_images.sh +..... + +[INFO] Reactor Summary: +[INFO] +[INFO] Hoodie ............................................. SUCCESS [ 1.709 s] +[INFO] hoodie-common ...................................... SUCCESS [ 9.015 s] +[INFO] hoodie-hadoop-mr ................................... SUCCESS [ 1.108 s] +[INFO] hoodie-client ...................................... SUCCESS [ 4.409 s] +[INFO] hoodie-hive ........................................ SUCCESS [ 0.976 s] +[INFO] hoodie-spark ....................................... SUCCESS [ 26.522 s] +[INFO] hoodie-utilities ................................... SUCCESS [ 16.256 s] +[INFO] hoodie-cli ......................................... SUCCESS [ 11.341 s] +[INFO] hoodie-hadoop-mr-bundle ............................ SUCCESS [ 1.893 s] +[INFO] hoodie-hive-bundle ................................. SUCCESS [ 14.099 s] +[INFO] hoodie-spark-bundle ................................ SUCCESS [ 58.252 s] +[INFO] hoodie-hadoop-docker ............................... SUCCESS [ 0.612 s] +[INFO] hoodie-hadoop-base-docker .......................... SUCCESS [04:04 min] +[INFO] hoodie-hadoop-namenode-docker ...................... SUCCESS [ 6.142 s] +[INFO] hoodie-hadoop-datanode-docker ...................... SUCCESS [ 7.763 s] +[INFO] hoodie-hadoop-history-docker ....................... SUCCESS [ 5.922 s] +[INFO] hoodie-hadoop-hive-docker .......................... SUCCESS [ 56.152 s] +[INFO] hoodie-hadoop-sparkbase-docker ..................... SUCCESS [01:18 min] +[INFO] hoodie-hadoop-sparkmaster-docker ................... SUCCESS [ 2.964 s] +[INFO] hoodie-hadoop-sparkworker-docker ................... SUCCESS [ 3.032 s] +[INFO] hoodie-hadoop-sparkadhoc-docker .................... SUCCESS [ 2.764 s] +[INFO] hoodie-integ-test .................................. SUCCESS [ 1.785 s] +[INFO] ------------------------------------------------------------------------ +[INFO] BUILD SUCCESS +[INFO] ------------------------------------------------------------------------ +[INFO] Total time: 09:15 min +[INFO] Finished at: 2018-09-10T17:47:37-07:00 +[INFO] Final Memory: 236M/1848M +[INFO] ------------------------------------------------------------------------ +``` \ No newline at end of file diff --git a/hoodie-hive/run_sync_tool.sh b/hoodie-hive/run_sync_tool.sh old mode 100644 new mode 100755 diff --git a/hoodie-hive/src/test/java/com/uber/hoodie/hive/util/MultiPartKeysValueExtractor.java b/hoodie-hive/src/main/java/com/uber/hoodie/hive/MultiPartKeysValueExtractor.java similarity index 92% rename from hoodie-hive/src/test/java/com/uber/hoodie/hive/util/MultiPartKeysValueExtractor.java rename to hoodie-hive/src/main/java/com/uber/hoodie/hive/MultiPartKeysValueExtractor.java index 610126c46..00475e1e9 100644 --- a/hoodie-hive/src/test/java/com/uber/hoodie/hive/util/MultiPartKeysValueExtractor.java +++ b/hoodie-hive/src/main/java/com/uber/hoodie/hive/MultiPartKeysValueExtractor.java @@ -14,9 +14,8 @@ * limitations under the License. */ -package com.uber.hoodie.hive.util; +package com.uber.hoodie.hive; -import com.uber.hoodie.hive.PartitionValueExtractor; import java.util.Arrays; import java.util.List; diff --git a/hoodie-hive/src/test/java/com/uber/hoodie/hive/HiveSyncToolTest.java b/hoodie-hive/src/test/java/com/uber/hoodie/hive/HiveSyncToolTest.java index be5a04e5d..06044feef 100644 --- a/hoodie-hive/src/test/java/com/uber/hoodie/hive/HiveSyncToolTest.java +++ b/hoodie-hive/src/test/java/com/uber/hoodie/hive/HiveSyncToolTest.java @@ -26,7 +26,6 @@ import com.google.common.collect.Lists; import com.uber.hoodie.common.util.SchemaTestUtil; import com.uber.hoodie.hive.HoodieHiveClient.PartitionEvent; import com.uber.hoodie.hive.HoodieHiveClient.PartitionEvent.PartitionEventType; -import com.uber.hoodie.hive.util.MultiPartKeysValueExtractor; import com.uber.hoodie.hive.util.SchemaUtil; import java.io.IOException; import java.net.URISyntaxException; diff --git a/hoodie-integ-test/pom.xml b/hoodie-integ-test/pom.xml new file mode 100644 index 000000000..ecacc9420 --- /dev/null +++ b/hoodie-integ-test/pom.xml @@ -0,0 +1,212 @@ + + + + + + hoodie + com.uber.hoodie + 0.4.5-SNAPSHOT + ../pom.xml + + hoodie-integ-test + 4.0.0 + + + org.glassfish.jersey.connectors + jersey-apache-connector + 2.17 + + + org.glassfish.jersey.core + jersey-server + 2.17 + + + org.glassfish.jersey.containers + jersey-container-servlet-core + 2.17 + + + com.uber.hoodie + hoodie-spark + ${project.version} + + + org.glassfish.** + * + + + + + com.uber.hoodie + hoodie-common + ${project.version} + tests + test-jar + test + + + org.awaitility + awaitility + 3.1.2 + test + + + com.uber.hoodie + hoodie-spark + ${project.version} + tests + test-jar + test + + + org.glassfish.** + * + + + + + com.google.guava + guava + 20.0 + test + + + com.fasterxml.jackson.core + jackson-annotations + 2.6.4 + test + + + com.fasterxml.jackson.core + jackson-databind + 2.6.4 + test + + + com.fasterxml.jackson.datatype + jackson-datatype-guava + 2.9.4 + test + + + com.github.docker-java + docker-java + 3.1.0-rc-3 + test + + + org.glassfish.** + * + + + + + com.uber.hoodie + hoodie-hadoop-sparkworker-docker + ${project.version} + pom + import + + + junit + junit + ${junit.version} + test + + + + + ${project.basedir}/compose_env + ${project.basedir}/../docker/compose/docker-compose_hadoop284_hive233_spark231.yml + false + ${skipITs} + true + + + + + + exec-maven-plugin + org.codehaus.mojo + + + Setup HUDI_WS + generate-sources + + exec + + + /bin/bash + + -c + echo HUDI_WS=`dirname ${project.basedir}` + + ${dockerCompose.envFile} + + + + + + org.apache.maven.plugins + maven-failsafe-plugin + 2.22.0 + + + + integration-test + + + + + + com.dkanejs.maven.plugins + docker-compose-maven-plugin + 2.0.1 + + + up + pre-integration-test + + up + + + ${docker.compose.skip} + unix:///var/run/docker.sock + ${project.basedir}/../docker/compose/docker-compose_hadoop284_hive233_spark231.yml + true + ${dockerCompose.envFile} + + + + down + integration-test + + down + + + ${docker.compose.skip} + ${project.basedir}/../docker/compose/docker-compose_hadoop284_hive233_spark231.yml + true + + + + + + + diff --git a/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestBase.java b/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestBase.java new file mode 100644 index 000000000..dd093779e --- /dev/null +++ b/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestBase.java @@ -0,0 +1,178 @@ +/* + * Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com) + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.uber.hoodie.integ; + +import static java.util.concurrent.TimeUnit.SECONDS; +import static org.awaitility.Awaitility.await; + +import com.github.dockerjava.api.DockerClient; +import com.github.dockerjava.api.command.DockerCmdExecFactory; +import com.github.dockerjava.api.command.ExecCreateCmd; +import com.github.dockerjava.api.command.ExecCreateCmdResponse; +import com.github.dockerjava.api.model.Container; +import com.github.dockerjava.core.DefaultDockerClientConfig; +import com.github.dockerjava.core.DockerClientBuilder; +import com.github.dockerjava.core.DockerClientConfig; +import com.github.dockerjava.core.command.ExecStartResultCallback; +import com.github.dockerjava.jaxrs.JerseyDockerCmdExecFactory; +import com.google.common.collect.ImmutableList; +import java.io.ByteArrayOutputStream; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; +import org.apache.commons.lang3.tuple.Pair; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.junit.Assert; +import org.junit.Before; + +public abstract class ITTestBase { + + public static final Logger LOG = LogManager.getLogger(ITTestBase.class); + protected static final String SPARK_WORKER_CONTAINER = "/spark-worker-1"; + protected static final String ADHOC_1_CONTAINER = "/adhoc-1"; + protected static final String ADHOC_2_CONTAINER = "/adhoc-2"; + protected static final String HIVESERVER = "/hiveserver"; + protected static final String HOODIE_WS_ROOT = "/var/hoodie/ws"; + protected static final String HOODIE_JAVA_APP = HOODIE_WS_ROOT + "/hoodie-spark/run_hoodie_app.sh"; + protected static final String HUDI_HADOOP_BUNDLE = + HOODIE_WS_ROOT + "/docker/hoodie/hadoop/hive_base/target/hoodie-hadoop-mr-bundle.jar"; + protected static final String HUDI_HIVE_BUNDLE = + HOODIE_WS_ROOT + "/docker/hoodie/hadoop/hive_base/target/hoodie-hive-bundle.jar"; + protected static final String HUDI_SPARK_BUNDLE = + HOODIE_WS_ROOT + "/docker/hoodie/hadoop/hive_base/target/hoodie-spark-bundle.jar"; + protected static final String HIVE_SERVER_JDBC_URL = "jdbc:hive2://hiveserver:10000"; + // Skip these lines when capturing output from hive + protected static final Integer SLF4J_WARNING_LINE_COUNT_IN_HIVE_CMD = 9; + private static final String DEFAULT_DOCKER_HOST = "unix:///var/run/docker.sock"; + private static final String OVERRIDDEN_DOCKER_HOST = System.getenv("DOCKER_HOST"); + protected DockerClient dockerClient; + protected Map runningContainers; + + protected static String[] getHiveConsoleCommand(String rawCommand) { + String jarCommand = "add jar " + HUDI_HADOOP_BUNDLE + ";"; + String fullCommand = jarCommand + rawCommand; + + List cmd = new ImmutableList.Builder().add("hive") + .add("--hiveconf") + .add("hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat") + .add("--hiveconf") + .add("hive.stats.autogather=false") + .add("-e") + .add("\"" + fullCommand + "\"") + .build(); + return cmd.stream().toArray(String[]::new); + } + + @Before + public void init() throws IOException { + String dockerHost = (OVERRIDDEN_DOCKER_HOST != null) ? OVERRIDDEN_DOCKER_HOST : DEFAULT_DOCKER_HOST; + //Assuming insecure docker engine + DockerClientConfig config = DefaultDockerClientConfig.createDefaultConfigBuilder() + .withDockerHost(dockerHost) + .build(); + // using jaxrs/jersey implementation here (netty impl is also available) + DockerCmdExecFactory dockerCmdExecFactory = new JerseyDockerCmdExecFactory() + .withConnectTimeout(1000) + .withMaxTotalConnections(100) + .withMaxPerRouteConnections(10); + dockerClient = DockerClientBuilder.getInstance(config) + .withDockerCmdExecFactory(dockerCmdExecFactory) + .build(); + await().atMost(60, SECONDS).until(this::servicesUp); + } + + private boolean servicesUp() { + List containerList = dockerClient.listContainersCmd().exec(); + for (Container c : containerList) { + if (!c.getState().equalsIgnoreCase("running")) { + System.out.println("Container : " + Arrays.toString(c.getNames()) + + "not in running state, Curr State :" + c.getState()); + return false; + } + } + runningContainers = containerList.stream().map(c -> Pair.of(c.getNames()[0], c)) + .collect(Collectors.toMap(Pair::getLeft, Pair::getRight)); + return true; + } + + protected TestExecStartResultCallback executeCommandInDocker(String containerName, String[] command, + boolean expectedToSucceed) + throws Exception { + LOG.info("Executing command (" + Arrays.toString(command) + ") in container " + containerName); + Container sparkWorkerContainer = runningContainers.get(containerName); + ExecCreateCmd cmd = dockerClient.execCreateCmd(sparkWorkerContainer.getId()) + .withCmd(command).withAttachStdout(true).withAttachStderr(true); + + ExecCreateCmdResponse createCmdResponse = cmd.exec(); + TestExecStartResultCallback callback = new TestExecStartResultCallback(new ByteArrayOutputStream(), + new ByteArrayOutputStream()); + dockerClient.execStartCmd(createCmdResponse.getId()).withDetach(false).withTty(false) + .exec(callback).awaitCompletion(); + int exitCode = dockerClient.inspectExecCmd(createCmdResponse.getId()).exec().getExitCode(); + LOG.info("Exit code for command (" + Arrays.toString(command) + ") is " + exitCode); + if (exitCode != 0) { + LOG.error("Command (" + Arrays.toString(command) + ") failed."); + LOG.error("Stdout is :" + callback.getStdout().toString()); + LOG.error("Stderr is :" + callback.getStderr().toString()); + } + if (expectedToSucceed) { + Assert.assertTrue("Command (" + Arrays.toString(command) + + ") expected to succeed. Exit (" + exitCode + ")", exitCode == 0); + } else { + Assert.assertTrue("Command (" + Arrays.toString(command) + + ") expected to fail. Exit (" + exitCode + ")", exitCode != 0); + } + cmd.close(); + return callback; + } + + public class TestExecStartResultCallback extends ExecStartResultCallback { + + // Storing the reference in subclass to expose to clients + private final ByteArrayOutputStream stdout; + private final ByteArrayOutputStream stderr; + + public TestExecStartResultCallback(ByteArrayOutputStream stdout, ByteArrayOutputStream stderr) { + super(stdout, stderr); + this.stdout = stdout; + this.stderr = stderr; + } + + @Override + public void onComplete() { + super.onComplete(); + LOG.info("onComplete called"); + try { + stderr.flush(); + stdout.flush(); + } catch (IOException e) { + throw new RuntimeException(e); + } + } + + public ByteArrayOutputStream getStdout() { + return stdout; + } + + public ByteArrayOutputStream getStderr() { + return stderr; + } + } +} diff --git a/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestHoodieSanity.java b/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestHoodieSanity.java new file mode 100644 index 000000000..7cc874696 --- /dev/null +++ b/hoodie-integ-test/src/test/java/com/uber/hoodie/integ/ITTestHoodieSanity.java @@ -0,0 +1,139 @@ +/* + * Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com) + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.uber.hoodie.integ; + +import java.util.Arrays; +import org.junit.Assert; +import org.junit.Test; + +/** + * Smoke tests to run as part of verification. + */ +public class ITTestHoodieSanity extends ITTestBase { + + @Test + public void testRunEcho() throws Exception { + String[] cmd = new String[]{"echo", "Happy Testing"}; + TestExecStartResultCallback callback = executeCommandInDocker(ADHOC_1_CONTAINER, + cmd, true); + String stdout = callback.getStdout().toString(); + String stderr = callback.getStderr().toString(); + LOG.info("Got output for (" + Arrays.toString(cmd) + ") :" + stdout); + LOG.info("Got error output for (" + Arrays.toString(cmd) + ") :" + stderr); + } + + @Test + /** + * A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie with single partition key + * data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count + * query in hive console. + */ + public void testRunHoodieJavaAppOnSinglePartitionKeyCOWTable() throws Exception { + String hiveTableName = "docker_hoodie_single_partition_key_cow_test"; + testRunHoodieJavaAppOnCOWTable(hiveTableName, true); + } + + @Test + /** + * A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie with multiple partition-keys + * data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count + * query in hive console. + */ + public void testRunHoodieJavaAppOnMultiPartitionKeysCOWTable() throws Exception { + String hiveTableName = "docker_hoodie_multi_partition_key_cow_test"; + testRunHoodieJavaAppOnCOWTable(hiveTableName, false); + } + + /** + * A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie + * data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count + * query in hive console. + * TODO: Add spark-shell test-case + */ + public void testRunHoodieJavaAppOnCOWTable(String hiveTableName, boolean singlePartitionKey) throws Exception { + + // Drop Table if it exists + { + String[] hiveDropCmd = getHiveConsoleCommand("drop table if exists " + hiveTableName); + executeCommandInDocker(HIVESERVER, hiveDropCmd, true); + } + + // Ensure table does not exist + { + String[] hiveTableCheck = getHiveConsoleCommand("show tables like '" + hiveTableName + "'"); + TestExecStartResultCallback callback = + executeCommandInDocker(HIVESERVER, hiveTableCheck, true); + String stderr = callback.getStderr().toString(); + String stdout = callback.getStdout().toString(); + LOG.info("Got output for (" + Arrays.toString(hiveTableCheck) + ") :" + stdout); + LOG.info("Got error output for (" + Arrays.toString(hiveTableCheck) + ") :" + stderr); + Assert.assertTrue("Result :" + callback.getStdout().toString(), stdout.trim().isEmpty()); + } + + // Run Hoodie Java App + { + String[] cmd = null; + if (singlePartitionKey) { + cmd = new String[]{ + HOODIE_JAVA_APP, + "--hive-sync", + "--hive-url", HIVE_SERVER_JDBC_URL, + "--hive-table", hiveTableName + }; + } else { + cmd = new String[]{ + HOODIE_JAVA_APP, + "--hive-sync", + "--hive-url", HIVE_SERVER_JDBC_URL, + "--use-multi-partition-keys", + "--hive-table", hiveTableName + }; + } + TestExecStartResultCallback callback = executeCommandInDocker(ADHOC_1_CONTAINER, + cmd, true); + String stdout = callback.getStdout().toString().trim(); + String stderr = callback.getStderr().toString().trim(); + LOG.info("Got output for (" + Arrays.toString(cmd) + ") :" + stdout); + LOG.info("Got error output for (" + Arrays.toString(cmd) + ") :" + stderr); + } + + // Ensure table does exist + { + String[] hiveTableCheck = getHiveConsoleCommand("show tables like '" + hiveTableName + "'"); + TestExecStartResultCallback callback = + executeCommandInDocker(HIVESERVER, hiveTableCheck, true); + String stderr = callback.getStderr().toString().trim(); + String stdout = callback.getStdout().toString().trim(); + LOG.info("Got output for (" + Arrays.toString(hiveTableCheck) + ") : (" + stdout + ")"); + LOG.info("Got error output for (" + Arrays.toString(hiveTableCheck) + ") : (" + stderr + ")"); + Assert.assertEquals("Table exists", hiveTableName, stdout); + } + + // Ensure row count is 100 (without duplicates) + { + String[] hiveTableCheck = getHiveConsoleCommand("select count(1) from " + hiveTableName); + TestExecStartResultCallback callback = + executeCommandInDocker(ADHOC_1_CONTAINER, hiveTableCheck, true); + String stderr = callback.getStderr().toString().trim(); + String stdout = callback.getStdout().toString().trim(); + LOG.info("Got output for (" + Arrays.toString(hiveTableCheck) + ") : (" + stdout + ")"); + LOG.info("Got error output for (" + Arrays.toString(hiveTableCheck) + ") : (" + stderr + ")"); + Assert.assertEquals("Expecting 100 rows to be present in the new table", 100, + Integer.parseInt(stdout.trim())); + } + } +} diff --git a/hoodie-integ-test/src/test/resources/log4j-surefire.properties b/hoodie-integ-test/src/test/resources/log4j-surefire.properties new file mode 100644 index 000000000..3613e7d12 --- /dev/null +++ b/hoodie-integ-test/src/test/resources/log4j-surefire.properties @@ -0,0 +1,23 @@ +# +# Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +log4j.rootLogger=WARN, A1 +log4j.category.com.uber=INFO +log4j.category.org.apache.parquet.hadoop=WARN +# A1 is set to be a ConsoleAppender. +log4j.appender.A1=org.apache.log4j.ConsoleAppender +# A1 uses PatternLayout. +log4j.appender.A1.layout=org.apache.log4j.PatternLayout +log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n diff --git a/hoodie-spark/pom.xml b/hoodie-spark/pom.xml index 15fb3ae93..25d1fa7ab 100644 --- a/hoodie-spark/pom.xml +++ b/hoodie-spark/pom.xml @@ -111,6 +111,21 @@ + + org.apache.maven.plugins + maven-jar-plugin + + + + test-jar + + test-compile + + + + false + + org.apache.rat apache-rat-plugin diff --git a/hoodie-spark/run_hoodie_app.sh b/hoodie-spark/run_hoodie_app.sh old mode 100644 new mode 100755 index ec82eddb9..2e070e9a5 --- a/hoodie-spark/run_hoodie_app.sh +++ b/hoodie-spark/run_hoodie_app.sh @@ -21,4 +21,4 @@ fi OTHER_JARS=`ls -1 $DIR/target/lib/*jar | grep -v '*avro*-1.' | tr '\n' ':'` #TODO - Need to move TestDataGenerator and HoodieJavaApp out of tests echo "Running command : java -cp $DIR/target/test-classes/:$DIR/../hoodie-client/target/test-classes/:${HADOOP_CONF_DIR}:$HOODIE_JAR:${CLIENT_JAR}:$OTHER_JARS HoodieJavaApp $@" -java -cp $DIR/target/test-classes/:$DIR/../hoodie-client/target/test-classes/:${HADOOP_CONF_DIR}:$HOODIE_JAR:${CLIENT_JAR}:$OTHER_JARS HoodieJavaApp "$@" +java -Xmx1G -cp $DIR/target/test-classes/:$DIR/../hoodie-client/target/test-classes/:${HADOOP_CONF_DIR}:$HOODIE_JAR:${CLIENT_JAR}:$OTHER_JARS HoodieJavaApp "$@" diff --git a/hoodie-spark/src/main/scala/com/uber/hoodie/DataSourceOptions.scala b/hoodie-spark/src/main/scala/com/uber/hoodie/DataSourceOptions.scala index 26040337f..e52a0e93a 100644 --- a/hoodie-spark/src/main/scala/com/uber/hoodie/DataSourceOptions.scala +++ b/hoodie-spark/src/main/scala/com/uber/hoodie/DataSourceOptions.scala @@ -153,7 +153,7 @@ object DataSourceWriteOptions { val HIVE_TABLE_OPT_KEY = "hoodie.datasource.hive_sync.table" val HIVE_USER_OPT_KEY = "hoodie.datasource.hive_sync.username" val HIVE_PASS_OPT_KEY = "hoodie.datasource.hive_sync.password" - val HIVE_URL_OPT_KEY = "hoodie.datasource.hive_sync.jdbcUrl" + val HIVE_URL_OPT_KEY = "hoodie.datasource.hive_sync.jdbcurl" val HIVE_PARTITION_FIELDS_OPT_KEY = "hoodie.datasource.hive_sync.partition_fields" val HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY = "hoodie.datasource.hive_sync.partition_extractor_class" val HIVE_ASSUME_DATE_PARTITION_OPT_KEY = "hoodie.datasource.hive_sync.assume_date_partitioning" diff --git a/hoodie-spark/src/test/java/HoodieJavaApp.java b/hoodie-spark/src/test/java/HoodieJavaApp.java index e76931836..3cdc55136 100644 --- a/hoodie-spark/src/test/java/HoodieJavaApp.java +++ b/hoodie-spark/src/test/java/HoodieJavaApp.java @@ -24,6 +24,7 @@ import com.uber.hoodie.HoodieDataSourceHelpers; import com.uber.hoodie.common.HoodieTestDataGenerator; import com.uber.hoodie.common.model.HoodieTableType; import com.uber.hoodie.config.HoodieWriteConfig; +import com.uber.hoodie.hive.MultiPartKeysValueExtractor; import java.util.List; import org.apache.hadoop.fs.FileSystem; import org.apache.log4j.LogManager; @@ -65,7 +66,10 @@ public class HoodieJavaApp { private String hivePass = "hive"; @Parameter(names = {"--hive-url", "-hl"}, description = "hive JDBC URL") - private String hiveJdbcUrl = "jdbc:hive://localhost:10000"; + private String hiveJdbcUrl = "jdbc:hive2://localhost:10000"; + + @Parameter(names = {"--use-multi-partition-keys", "-mp"}, description = "Use Multiple Partition Keys") + private Boolean useMultiPartitionKeys = false; @Parameter(names = {"--help", "-h"}, help = true) public Boolean help = false; @@ -188,10 +192,16 @@ public class HoodieJavaApp { writer = writer.option(DataSourceWriteOptions.HIVE_TABLE_OPT_KEY(), hiveTable) .option(DataSourceWriteOptions.HIVE_DATABASE_OPT_KEY(), hiveDB) .option(DataSourceWriteOptions.HIVE_URL_OPT_KEY(), hiveJdbcUrl) - .option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY(), "dateStr") .option(DataSourceWriteOptions.HIVE_USER_OPT_KEY(), hiveUser) .option(DataSourceWriteOptions.HIVE_PASS_OPT_KEY(), hivePass) .option(DataSourceWriteOptions.HIVE_SYNC_ENABLED_OPT_KEY(), "true"); + if (useMultiPartitionKeys) { + writer = writer.option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY(), "year,month,day") + .option(DataSourceWriteOptions.HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY(), + MultiPartKeysValueExtractor.class.getCanonicalName()); + } else { + writer = writer.option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY(), "dateStr"); + } } return writer; } diff --git a/pom.xml b/pom.xml index 05501b8ab..e19f8199c 100644 --- a/pom.xml +++ b/pom.xml @@ -39,6 +39,8 @@ packaging/hoodie-hadoop-mr-bundle packaging/hoodie-hive-bundle packaging/hoodie-spark-bundle + docker/hoodie/hadoop + hoodie-integ-test