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Spark SQL merge small files to big files Update InsertIntoHiveTable.scala - #18609

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Spark SQL merge small files to big files Update InsertIntoHiveTable.scala#18609
wuzhilon wants to merge 3 commits into
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@wuzhilon

@wuzhilonwuzhilon commented Jul 12, 2017

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Merge hive small files into large files, support orc and text data table storage format

What changes were proposed in this pull request?

we have more spark SQL partitions tables ,table partition have more small files。Causing the cluster hdfs a lot of pressure, we use this feature to merge small files, to the cluster down to 1/10 hdfs pressure
##test this function
you can use SQL: INSERT INTO TABLE AS SELECT XXXX

Merge hive small files into large files, support orc and text data table storage format
@AmplabJenkins

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Can one of the admins verify this patch?

@gatorsmile

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Can you just repartition your data before writing to the file?

@wuzhilon

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I am trying to, now the problem is unable to know the number of data MB, I can only get the number of data, and then re-coarse-grained.

@HyukjinKwon

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@wuzhilon, could you explain why it is problematic if we just repartition? I didn't understand

the problem is unable to know the number of data MB, I can only get the number of data, and then re-coarse-grained.

I think the approach here is quite poorly implemented and we should close. This at least looks listing files which is quite costly on S3.

@HyukjinKwonHyukjinKwon mentioned this pull request Jul 31, 2017
@asfgitasfgit closed this in 3a45c7fAug 5, 2017
zifeif2 pushed a commit to zifeif2/spark that referenced this pull request Nov 22, 2025
## What changes were proposed in this pull request?
This PR proposes to close stale PRs, mostly the same instances with apache#18017Closesapache#14085 - [SPARK-16408][SQL] SparkSQL Added file get Exception: is a directory …
Closesapache#14239 - [SPARK-16593] [CORE] [WIP] Provide a pre-fetch mechanism to accelerate shuffle stage.
Closesapache#14567 - [SPARK-16992][PYSPARK] Python Pep8 formatting and import reorganisation
Closesapache#14579 - [SPARK-16921][PYSPARK] RDD/DataFrame persist()/cache() should return Python context managers
Closesapache#14601 - [SPARK-13979][Core] Killed executor is re spawned without AWS key…
Closesapache#14830 - [SPARK-16992][PYSPARK][DOCS] import sort and autopep8 on Pyspark examples
Closesapache#14963 - [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in lint-python
Closesapache#15227 - [SPARK-17655][SQL]Remove unused variables declarations and definations in a WholeStageCodeGened stage
Closesapache#15240 - [SPARK-17556] [CORE] [SQL] Executor side broadcast for broadcast joins
Closesapache#15405 - [SPARK-15917][CORE] Added support for number of executors in Standalone [WIP]
Closesapache#16099 - [SPARK-18665][SQL] set statement state to "ERROR" after user cancel job
Closesapache#16445 - [SPARK-19043][SQL]Make SparkSQLSessionManager more configurable
Closesapache#16618 - [SPARK-14409][ML][WIP] Add RankingEvaluator
Closesapache#16766 - [SPARK-19426][SQL] Custom coalesce for Dataset
Closesapache#16832 - [SPARK-19490][SQL] ignore case sensitivity when filtering hive partition columns
Closesapache#17052 - [SPARK-19690][SS] Join a streaming DataFrame with a batch DataFrame which has an aggregation may not work
Closesapache#17267 - [SPARK-19926][PYSPARK] Make pyspark exception more user-friendly
Closesapache#17371 - [SPARK-19903][PYSPARK][SS] window operator miss the `watermark` metadata of time column
Closesapache#17401 - [SPARK-18364][YARN] Expose metrics for YarnShuffleService
Closesapache#17519 - [SPARK-15352][Doc] follow-up: add configuration docs for topology-aware block replication
Closesapache#17530 - [SPARK-5158] Access kerberized HDFS from Spark standalone
Closesapache#17854 - [SPARK-20564][Deploy] Reduce massive executor failures when executor count is large (>2000)
Closesapache#17979 - [SPARK-19320][MESOS][WIP]allow specifying a hard limit on number of gpus required in each spark executor when running on mesos
Closesapache#18127 - [SPARK-6628][SQL][Branch-2.1] Fix ClassCastException when executing sql statement 'insert into' on hbase table
Closesapache#18236 - [SPARK-21015] Check field name is not null and empty in GenericRowWit…
Closesapache#18269 - [SPARK-21056][SQL] Use at most one spark job to list files in InMemoryFileIndex
Closesapache#18328 - [SPARK-21121][SQL] Support changing storage level via the spark.sql.inMemoryColumnarStorage.level variable
Closesapache#18354 - [SPARK-18016][SQL][CATALYST][BRANCH-2.1] Code Generation: Constant Pool Limit - Class Splitting
Closesapache#18383 - [SPARK-21167][SS] Set kafka clientId while fetch messages
Closesapache#18414 - [SPARK-21169] [core] Make sure to update application status to RUNNING if executors are accepted and RUNNING after recovery
Closesapache#18432 - resolve com.esotericsoftware.kryo.KryoException
Closesapache#18490 - [SPARK-21269][Core][WIP] Fix FetchFailedException when enable maxReqSizeShuffleToMem and KryoSerializer
Closesapache#18585 - SPARK-21359
Closesapache#18609 - Spark SQL merge small files to big files Update InsertIntoHiveTable.scala
Added:
Closesapache#18308 - [SPARK-21099][Spark Core] INFO Log Message Using Incorrect Executor I…
Closesapache#18599 - [SPARK-21372] spark writes one log file even I set the number of spark_rotate_log to 0
Closesapache#18619 - [SPARK-21397][BUILD]Maven shade plugin adding dependency-reduced-pom.xml to …
Closesapache#18667 - Fix the simpleString used in error messages
Closesapache#18782 - Branch 2.1
Added:
Closesapache#17694 - [SPARK-12717][PYSPARK] Resolving race condition with pyspark broadcasts when using multiple threads
Added:
Closesapache#16456 - [SPARK-18994] clean up the local directories for application in future by annother thread
Closesapache#18683 - [SPARK-21474][CORE] Make number of parallel fetches from a reducer configurable
Closesapache#18690 - [SPARK-21334][CORE] Add metrics reporting service to External Shuffle Server
Added:
Closesapache#18827 - Merge pull request 1 from apache/master
## How was this patch tested?
N/A
Author: hyukjinkwon <gurwls223@gmail.com>
Closesapache#18780 from HyukjinKwon/close-prs.
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4 participants

@wuzhilon@AmplabJenkins@gatorsmile@HyukjinKwon