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hudi/docker/demo/sparksql-incremental.commands
vinoth chandar 6edf0b9def [HUDI-68] Pom cleanup & demo automation (#846)
- [HUDI-172] Cleanup Maven POM/Classpath
  - Fix ordering of dependencies in poms, to enable better resolution
  - Idea is to place more specific ones at the top
  - And place dependencies which use them below them
- [HUDI-68] : Automate demo steps on docker setup
 - Move hive queries from hive cli to beeline
 - Standardize on taking query input from text command files
 - Deltastreamer ingest, also does hive sync in a single step
 - Spark Incremental Query materialized as a derived Hive table using datasource
 - Fix flakiness in HDFS spin up and output comparison
 - Code cleanup around streamlining and loc reduction
 - Also fixed pom to not shade some hive classs in spark, to enable hive sync
2019-08-22 20:18:50 -07:00

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/*
* 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.
*/
import org.apache.hudi.DataSourceReadOptions;
import org.apache.hudi.DataSourceWriteOptions;
import org.apache.spark.sql.SaveMode;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.HoodieDataSourceHelpers;
import org.apache.hadoop.fs.FileSystem;
val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
val beginInstantTime = HoodieDataSourceHelpers.listCommitsSince(fs, "/user/hive/warehouse/stock_ticks_cow", "00000").get(0)
val hoodieIncViewDF = spark.read.format("org.apache.hudi").
option(DataSourceReadOptions.VIEW_TYPE_OPT_KEY, DataSourceReadOptions.VIEW_TYPE_INCREMENTAL_OPT_VAL).
option(DataSourceReadOptions.BEGIN_INSTANTTIME_OPT_KEY, beginInstantTime).
load("/user/hive/warehouse/stock_ticks_cow");
hoodieIncViewDF.registerTempTable("stock_ticks_cow_incr")
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow_incr where symbol = 'GOOG'").show(100, false);
spark.sql("select key, `_hoodie_partition_path` as datestr, symbol, ts, open, close from stock_ticks_cow_incr").
write.format("org.apache.hudi").
option("hoodie.insert.shuffle.parallelism", "2").
option("hoodie.upsert.shuffle.parallelism","2").
option(DataSourceWriteOptions.STORAGE_TYPE_OPT_KEY, DataSourceWriteOptions.MOR_STORAGE_TYPE_OPT_VAL).
option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL).
option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "key").
option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "datestr").
option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "ts").
option(HoodieWriteConfig.TABLE_NAME, "stock_ticks_derived_mor").
option(DataSourceWriteOptions.HIVE_TABLE_OPT_KEY, "stock_ticks_derived_mor").
option(DataSourceWriteOptions.HIVE_DATABASE_OPT_KEY, "default").
option(DataSourceWriteOptions.HIVE_URL_OPT_KEY, "jdbc:hive2://hiveserver:10000").
option(DataSourceWriteOptions.HIVE_USER_OPT_KEY, "hive").
option(DataSourceWriteOptions.HIVE_PASS_OPT_KEY, "hive").
option(DataSourceWriteOptions.HIVE_SYNC_ENABLED_OPT_KEY, "true").
option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY, "datestr").
mode(SaveMode.Overwrite).
save("/user/hive/warehouse/stock_ticks_derived_mor");
spark.sql("show tables").show(20, false)
spark.sql("select count(*) from stock_ticks_derived_mor").show(20, false)
spark.sql("select count(*) from stock_ticks_derived_mor_rt").show(20, false)
System.exit(0);