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[HUDI-242] Support for RFC-12/Bootstrapping of external datasets to hudi (#1876)

- [HUDI-418] Bootstrap Index Implementation using HFile with unit-test
 - [HUDI-421] FileSystem View Changes to support Bootstrap with unit-tests
 - [HUDI-424] Implement Query Side Integration for querying tables containing bootstrap file slices
 - [HUDI-423] Implement upsert functionality for handling updates to these bootstrap file slices
 - [HUDI-421] Bootstrap Write Client with tests
 - [HUDI-425] Added HoodieDeltaStreamer support
 - [HUDI-899] Add a knob to change partition-path style while performing metadata bootstrap
 - [HUDI-900] Metadata Bootstrap Key Generator needs to handle complex keys correctly
 - [HUDI-424] Simplify Record reader implementation
 - [HUDI-423] Implement upsert functionality for handling updates to these bootstrap file slices
 - [HUDI-420] Hoodie Demo working with hive and sparkSQL. Also, Hoodie CLI working with bootstrap tables

Co-authored-by: Mehrotra <uditme@amazon.com>
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
Co-authored-by: Balaji Varadarajan <varadarb@uber.com>
This commit is contained in:
vinoth chandar
2020-08-03 20:19:21 -07:00
committed by GitHub
parent 266bce12b3
commit 539621bd33
175 changed files with 7540 additions and 779 deletions

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@@ -19,4 +19,7 @@ connect --path /user/hive/warehouse/stock_ticks_mor
compactions show all
compaction schedule --hoodieConfigs hoodie.compact.inline.max.delta.commits=1
compaction run --parallelism 2 --sparkMemory 1G --schemaFilePath /var/demo/config/schema.avsc --retry 1
connect --path /user/hive/warehouse/stock_ticks_mor_bs
compactions show all
compaction schedule --hoodieConfigs hoodie.compact.inline.max.delta.commits=1
compaction run --parallelism 2 --sparkMemory 1G --schemaFilePath /var/demo/config/schema.avsc --retry 1

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@@ -25,4 +25,12 @@ select symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GO
select symbol, ts, volume, open, close from stock_ticks_mor_ro where symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG';
select symbol, max(ts) from stock_ticks_cow_bs group by symbol HAVING symbol = 'GOOG';
select symbol, max(ts) from stock_ticks_mor_bs_ro group by symbol HAVING symbol = 'GOOG';
select symbol, max(ts) from stock_ticks_mor_bs_rt group by symbol HAVING symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_cow_bs where symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_ro where symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_rt where symbol = 'GOOG';
!quit

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@@ -23,4 +23,10 @@ select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = '
select symbol, ts, volume, open, close from stock_ticks_mor_ro where symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG';
select symbol, max(ts) from stock_ticks_mor_bs_ro group by symbol HAVING symbol = 'GOOG';
select symbol, max(ts) from stock_ticks_mor_bs_rt group by symbol HAVING symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_ro where symbol = 'GOOG';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_rt where symbol = 'GOOG';
!quit

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@@ -23,5 +23,11 @@ set hoodie.stock_ticks_cow.consume.start.timestamp='${min.commit.time}';
select symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG' and `_hoodie_commit_time` > '${min.commit.time}';
set hoodie.stock_ticks_cow_bs.consume.mode=INCREMENTAL;
set hoodie.stock_ticks_cow_bs.consume.max.commits=3;
set hoodie.stock_ticks_cow_bs.consume.start.timestamp='00000000000001';
select symbol, ts, volume, open, close from stock_ticks_cow_bs where symbol = 'GOOG' and `_hoodie_commit_time` > '00000000000001';
!quit

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@@ -23,5 +23,11 @@ set hoodie.stock_ticks_mor.consume.start.timestamp='${min.commit.time}';
select symbol, ts, volume, open, close from stock_ticks_mor_ro where symbol = 'GOOG' and `_hoodie_commit_time` > '${min.commit.time}';
set hoodie.stock_ticks_mor_bs.consume.mode=INCREMENTAL;
set hoodie.stock_ticks_mor_bs.consume.max.commits=3;
set hoodie.stock_ticks_mor_bs.consume.start.timestamp='00000000000001';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_ro where symbol = 'GOOG' and `_hoodie_commit_time` > '00000000000001';
!quit

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@@ -23,5 +23,11 @@ set hoodie.stock_ticks_mor.consume.start.timestamp='${min.commit.time}';
select symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG' and `_hoodie_commit_time` > '${min.commit.time}';
set hoodie.stock_ticks_mor_bs.consume.mode=INCREMENTAL;
set hoodie.stock_ticks_mor_bs.consume.max.commits=3;
set hoodie.stock_ticks_mor_bs.consume.start.timestamp='00000000000001';
select symbol, ts, volume, open, close from stock_ticks_mor_bs_rt where symbol = 'GOOG' and `_hoodie_commit_time` > '00000000000001';
!quit

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@@ -27,4 +27,14 @@ spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_ro where symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false)
// Bootstrapped Copy-On-Write table
spark.sql("select symbol, max(ts) from stock_ticks_cow_bs group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow_bs where symbol = 'GOOG'").show(100, false)
// Bootstrapped Merge-On-Read table
spark.sql("select symbol, max(ts) from stock_ticks_mor_bs_ro group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select symbol, max(ts) from stock_ticks_mor_bs_rt group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_bs_ro where symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_bs_rt where symbol = 'GOOG'").show(100, false)
System.exit(0)

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@@ -26,4 +26,14 @@ spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from s
spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false)
// Copy-On-Write Bootstrapped table
spark.sql("select symbol, max(ts) from stock_ticks_cow_bs group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow_bs where symbol = 'GOOG'").show(100, false)
// Merge-On-Read table Bootstrapped Table
spark.sql("select symbol, max(ts) from stock_ticks_mor_bs_ro group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_bs_ro where symbol = 'GOOG'").show(100, false)
spark.sql("select symbol, max(ts) from stock_ticks_mor_bs_rt group by symbol HAVING symbol = 'GOOG'").show(100, false)
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_bs_rt where symbol = 'GOOG'").show(100, false)
System.exit(0)

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@@ -0,0 +1,22 @@
/*
* 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.spark.sql.functions.col
val df = spark.read.format("org.apache.hudi").load("/user/hive/warehouse/stock_ticks_cow/*/*/*").drop("_hoodie_commit_time", "_hoodie_record_key", "_hoodie_file_name", "_hoodie_commit_seqno", "_hoodie_partition_path")
df.write.format("parquet").save("/user/hive/warehouse/stock_ticks_cow_bs_src/2018/08/31/")
System.exit(0)

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@@ -52,8 +52,38 @@ spark.sql("select key, `_hoodie_partition_path` as datestr, symbol, ts, open, cl
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_ro").show(20, false)
spark.sql("select count(*) from stock_ticks_derived_mor_rt").show(20, false)
System.exit(0);
val hoodieIncQueryBsDF = spark.read.format("org.apache.hudi").
option(DataSourceReadOptions.QUERY_TYPE_OPT_KEY, DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL).
option(DataSourceReadOptions.BEGIN_INSTANTTIME_OPT_KEY, "00000000000001").
load("/user/hive/warehouse/stock_ticks_cow_bs");
hoodieIncQueryBsDF.registerTempTable("stock_ticks_cow_bs_incr")
spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow_bs_incr where symbol = 'GOOG'").show(100, false);
spark.sql("select key, `_hoodie_partition_path` as datestr, symbol, ts, open, close from stock_ticks_cow_bs_incr").
write.format("org.apache.hudi").
option("hoodie.insert.shuffle.parallelism", "2").
option("hoodie.upsert.shuffle.parallelism","2").
option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY, DataSourceWriteOptions.MOR_TABLE_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_bs").
option(DataSourceWriteOptions.HIVE_TABLE_OPT_KEY, "stock_ticks_derived_mor_bs").
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_bs");
spark.sql("show tables").show(20, false)
spark.sql("select count(*) from stock_ticks_derived_mor_bs_ro").show(20, false)
spark.sql("select count(*) from stock_ticks_derived_mor_bs_rt").show(20, false)
System.exit(0);