[
https://issues.apache.org/jira/browse/SPARK-11246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yin Huai resolved SPARK-11246.
------------------------------
Resolution: Fixed
Fix Version/s: 1.5.2
1.6.0
Issue resolved by pull request 9326
[https://github.com/apache/spark/pull/9326]
> [1.5] Table cache for Parquet broken in 1.5
> -------------------------------------------
>
> Key: SPARK-11246
> URL: https://issues.apache.org/jira/browse/SPARK-11246
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Reporter: David Ross
> Assignee: Xin Wu
> Fix For: 1.6.0, 1.5.2
>
>
> Since upgrading to 1.5.1, using the {{CACHE TABLE}} works great for all
> tables except for parquet tables, likely related to the parquet native reader.
> Here are steps for parquet table:
> {code}
> create table test_parquet stored as parquet as select 1;
> explain select * from test_parquet;
> {code}
> With output:
> {code}
> == Physical Plan ==
> Scan
> ParquetRelation[hdfs://192.168.99.9/user/hive/warehouse/test_parquet][_c0#141]
> {code}
> And then caching:
> {code}
> cache table test_parquet;
> explain select * from test_parquet;
> {code}
> With output:
> {code}
> == Physical Plan ==
> Scan
> ParquetRelation[hdfs://192.168.99.9/user/hive/warehouse/test_parquet][_c0#174]
> {code}
> Note it isn't cached. I have included spark log output for the {{cache
> table}} and {{explain}} statements below.
> ---
> Here's the same for non-parquet table:
> {code}
> cache table test_no_parquet;
> explain select * from test_no_parquet;
> {code}
> With output:
> {code}
> == Physical Plan ==
> HiveTableScan [_c0#210], (MetastoreRelation default, test_no_parquet, None)
> {code}
> And then caching:
> {code}
> cache table test_no_parquet;
> explain select * from test_no_parquet;
> {code}
> With output:
> {code}
> == Physical Plan ==
> InMemoryColumnarTableScan [_c0#229], (InMemoryRelation [_c0#229], true,
> 10000, StorageLevel(true, true, false, true, 1), (HiveTableScan [_c0#211],
> (MetastoreRelation default, test_no_parquet, None)), Some(test_no_parquet))
> {code}
> Not that the table seems to be cached.
> ---
> Note that if the flag {{spark.sql.hive.convertMetastoreParquet}} is set to
> {{false}}, parquet tables work the same as non-parquet tables with caching.
> This is a reasonable workaround for us, but ideally, we would like to benefit
> from the native reading.
> ---
> Spark logs for {{cache table}} for {{test_parquet}}:
> {code}
> 15/10/21 21:22:05 INFO thriftserver.SparkExecuteStatementOperation: Running
> query 'cache table test_parquet' with 20ee2ab9-5242-4783-81cf-46115ed72610
> 15/10/21 21:22:05 INFO metastore.HiveMetaStore: 49: get_table : db=default
> tbl=test_parquet
> 15/10/21 21:22:05 INFO HiveMetaStore.audit: ugi=vagrant
> ip=unknown-ip-addr cmd=get_table : db=default tbl=test_parquet
> 15/10/21 21:22:05 INFO metastore.HiveMetaStore: 49: Opening raw store with
> implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
> 15/10/21 21:22:05 INFO metastore.ObjectStore: ObjectStore, initialize called
> 15/10/21 21:22:05 INFO DataNucleus.Query: Reading in results for query
> "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is
> closing
> 15/10/21 21:22:05 INFO metastore.MetaStoreDirectSql: Using direct SQL,
> underlying DB is MYSQL
> 15/10/21 21:22:05 INFO metastore.ObjectStore: Initialized ObjectStore
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(215680) called
> with curMem=4196713, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_59 stored as
> values in memory (estimated size 210.6 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(20265) called
> with curMem=4412393, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_59_piece0 stored
> as bytes in memory (estimated size 19.8 KB, free 128.3 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_59_piece0 in
> memory on 192.168.99.9:50262 (size: 19.8 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO spark.SparkContext: Created broadcast 59 from run at
> AccessController.java:-2
> 15/10/21 21:22:05 INFO metastore.HiveMetaStore: 49: get_table : db=default
> tbl=test_parquet
> 15/10/21 21:22:05 INFO HiveMetaStore.audit: ugi=vagrant
> ip=unknown-ip-addr cmd=get_table : db=default tbl=test_parquet
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(215680) called
> with curMem=4432658, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_60 stored as
> values in memory (estimated size 210.6 KB, free 128.1 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Removed broadcast_58_piece0
> on 192.168.99.9:50262 in memory (size: 19.8 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Removed broadcast_57_piece0
> on 192.168.99.9:50262 in memory (size: 21.1 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Removed broadcast_57_piece0
> on slave2:46912 in memory (size: 21.1 KB, free: 534.5 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Removed broadcast_57_piece0
> on slave0:46599 in memory (size: 21.1 KB, free: 534.3 MB)
> 15/10/21 21:22:05 INFO spark.ContextCleaner: Cleaned accumulator 86
> 15/10/21 21:22:05 INFO spark.ContextCleaner: Cleaned accumulator 84
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(20265) called
> with curMem=4327620, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_60_piece0 stored
> as bytes in memory (estimated size 19.8 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_60_piece0 in
> memory on 192.168.99.9:50262 (size: 19.8 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO spark.SparkContext: Created broadcast 60 from run at
> AccessController.java:-2
> 15/10/21 21:22:05 INFO spark.SparkContext: Starting job: run at
> AccessController.java:-2
> 15/10/21 21:22:05 INFO parquet.ParquetRelation: Reading Parquet file(s) from
> hdfs://192.168.99.9/user/hive/warehouse/test_parquet/part-r-00000-7cf64eb9-76ca-47c7-92aa-eb5ba879faae.gz.parquet
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Registering RDD 171 (run at
> AccessController.java:-2)
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Got job 24 (run at
> AccessController.java:-2) with 1 output partitions
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Final stage: ResultStage
> 34(run at AccessController.java:-2)
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Parents of final stage:
> List(ShuffleMapStage 33)
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Missing parents:
> List(ShuffleMapStage 33)
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Submitting ShuffleMapStage 33
> (MapPartitionsRDD[171] at run at AccessController.java:-2), which has no
> missing parents
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(9472) called with
> curMem=4347885, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_61 stored as
> values in memory (estimated size 9.3 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(4838) called with
> curMem=4357357, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_61_piece0 stored
> as bytes in memory (estimated size 4.7 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_61_piece0 in
> memory on 192.168.99.9:50262 (size: 4.7 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO spark.SparkContext: Created broadcast 61 from
> broadcast at DAGScheduler.scala:861
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Submitting 1 missing tasks
> from ShuffleMapStage 33 (MapPartitionsRDD[171] at run at
> AccessController.java:-2)
> 15/10/21 21:22:05 INFO cluster.YarnScheduler: Adding task set 33.0 with 1
> tasks
> 15/10/21 21:22:05 INFO scheduler.FairSchedulableBuilder: Added task set
> TaskSet_33 tasks to pool default
> 15/10/21 21:22:05 INFO scheduler.TaskSetManager: Starting task 0.0 in stage
> 33.0 (TID 45, slave2, NODE_LOCAL, 2234 bytes)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_61_piece0 in
> memory on slave2:46912 (size: 4.7 KB, free: 534.5 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_60_piece0 in
> memory on slave2:46912 (size: 19.8 KB, free: 534.4 MB)
> 15/10/21 21:22:05 INFO scheduler.TaskSetManager: Finished task 0.0 in stage
> 33.0 (TID 45) in 105 ms on slave2 (1/1)
> 15/10/21 21:22:05 INFO cluster.YarnScheduler: Removed TaskSet 33.0, whose
> tasks have all completed, from pool default
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: ShuffleMapStage 33 (run at
> AccessController.java:-2) finished in 0.105 s
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: looking for newly runnable
> stages
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: running: Set()
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: waiting: Set(ResultStage 34)
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: failed: Set()
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Missing parents for
> ResultStage 34: List()
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: Finished stage:
> org.apache.spark.scheduler.StageInfo@532f49c8
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Submitting ResultStage 34
> (MapPartitionsRDD[174] at run at AccessController.java:-2), which is now
> runnable
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: task runtime:(count: 1,
> mean: 105.000000, stdev: 0.000000, max: 105.000000, min: 105.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 105.0 ms
> 105.0 ms 105.0 ms 105.0 ms 105.0 ms 105.0 ms
> 105.0 ms 105.0 ms 105.0 ms
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: shuffle bytes
> written:(count: 1, mean: 49.000000, stdev: 0.000000, max: 49.000000, min:
> 49.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 49.0 B 49.0 B
> 49.0 B 49.0 B 49.0 B 49.0 B 49.0 B 49.0 B 49.0 B
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(10440) called
> with curMem=4362195, maxMem=139009720
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: task result
> size:(count: 1, mean: 2381.000000, stdev: 0.000000, max: 2381.000000, min:
> 2381.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 2.3 KB 2.3 KB
> 2.3 KB 2.3 KB 2.3 KB 2.3 KB 2.3 KB 2.3 KB 2.3 KB
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_62 stored as
> values in memory (estimated size 10.2 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: executor (non-fetch)
> time pct: (count: 1, mean: 68.571429, stdev: 0.000000, max: 68.571429, min:
> 68.571429)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 69 % 69 %
> 69 % 69 % 69 % 69 % 69 % 69 % 69 %
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: other time pct: (count:
> 1, mean: 31.428571, stdev: 0.000000, max: 31.428571, min: 31.428571)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 31 % 31 %
> 31 % 31 % 31 % 31 % 31 % 31 % 31 %
> 15/10/21 21:22:05 INFO storage.MemoryStore: ensureFreeSpace(5358) called with
> curMem=4372635, maxMem=139009720
> 15/10/21 21:22:05 INFO storage.MemoryStore: Block broadcast_62_piece0 stored
> as bytes in memory (estimated size 5.2 KB, free 128.4 MB)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_62_piece0 in
> memory on 192.168.99.9:50262 (size: 5.2 KB, free: 132.2 MB)
> 15/10/21 21:22:05 INFO spark.SparkContext: Created broadcast 62 from
> broadcast at DAGScheduler.scala:861
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Submitting 1 missing tasks
> from ResultStage 34 (MapPartitionsRDD[174] at run at AccessController.java:-2)
> 15/10/21 21:22:05 INFO cluster.YarnScheduler: Adding task set 34.0 with 1
> tasks
> 15/10/21 21:22:05 INFO scheduler.FairSchedulableBuilder: Added task set
> TaskSet_34 tasks to pool default
> 15/10/21 21:22:05 INFO scheduler.TaskSetManager: Starting task 0.0 in stage
> 34.0 (TID 46, slave2, PROCESS_LOCAL, 1914 bytes)
> 15/10/21 21:22:05 INFO storage.BlockManagerInfo: Added broadcast_62_piece0 in
> memory on slave2:46912 (size: 5.2 KB, free: 534.4 MB)
> 15/10/21 21:22:05 INFO spark.MapOutputTrackerMasterEndpoint: Asked to send
> map output locations for shuffle 9 to slave2:43867
> 15/10/21 21:22:05 INFO spark.MapOutputTrackerMaster: Size of output statuses
> for shuffle 9 is 135 bytes
> 15/10/21 21:22:05 INFO scheduler.TaskSetManager: Finished task 0.0 in stage
> 34.0 (TID 46) in 48 ms on slave2 (1/1)
> 15/10/21 21:22:05 INFO cluster.YarnScheduler: Removed TaskSet 34.0, whose
> tasks have all completed, from pool default
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: ResultStage 34 (run at
> AccessController.java:-2) finished in 0.047 s
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: Finished stage:
> org.apache.spark.scheduler.StageInfo@37a20848
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: task runtime:(count: 1,
> mean: 48.000000, stdev: 0.000000, max: 48.000000, min: 48.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 48.0 ms 48.0 ms
> 48.0 ms 48.0 ms 48.0 ms 48.0 ms 48.0 ms 48.0 ms 48.0 ms
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: fetch wait time:(count:
> 1, mean: 0.000000, stdev: 0.000000, max: 0.000000, min: 0.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0.0 ms 0.0 ms
> 0.0 ms 0.0 ms 0.0 ms 0.0 ms 0.0 ms 0.0 ms 0.0 ms
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: remote bytes
> read:(count: 1, mean: 0.000000, stdev: 0.000000, max: 0.000000, min: 0.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0.0 B 0.0 B
> 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: task result
> size:(count: 1, mean: 1737.000000, stdev: 0.000000, max: 1737.000000, min:
> 1737.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 1737.0 B
> 1737.0 B 1737.0 B 1737.0 B 1737.0 B 1737.0 B
> 1737.0 B 1737.0 B 1737.0 B
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: executor (non-fetch)
> time pct: (count: 1, mean: 29.166667, stdev: 0.000000, max: 29.166667, min:
> 29.166667)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 29 % 29 %
> 29 % 29 % 29 % 29 % 29 % 29 % 29 %
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: fetch wait time pct:
> (count: 1, mean: 0.000000, stdev: 0.000000, max: 0.000000, min: 0.000000)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0 % 0 %
> 0 % 0 % 0 % 0 % 0 % 0 % 0 %
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: other time pct: (count:
> 1, mean: 70.833333, stdev: 0.000000, max: 70.833333, min: 70.833333)
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 0% 5%
> 10% 25% 50% 75% 90% 95% 100%
> 15/10/21 21:22:05 INFO scheduler.StatsReportListener: 71 % 71 %
> 71 % 71 % 71 % 71 % 71 % 71 % 71 %
> 15/10/21 21:22:05 INFO scheduler.DAGScheduler: Job 24 finished: run at
> AccessController.java:-2, took 0.175295 s
> {code}
> Spark logs for {{explain}} for {{test_parquet}}:
> {code}
> 15/10/21 21:23:19 INFO thriftserver.SparkExecuteStatementOperation: Running
> query 'explain select * from test_parquet' with
> bae9c0bf-57f9-4c80-b745-3f0202469f3f
> 15/10/21 21:23:19 INFO parse.ParseDriver: Parsing command: explain select *
> from test_parquet
> 15/10/21 21:23:19 INFO parse.ParseDriver: Parse Completed
> 15/10/21 21:23:19 INFO metastore.HiveMetaStore: 50: get_table : db=default
> tbl=test_parquet
> 15/10/21 21:23:19 INFO HiveMetaStore.audit: ugi=vagrant
> ip=unknown-ip-addr cmd=get_table : db=default tbl=test_parquet
> 15/10/21 21:23:19 INFO metastore.HiveMetaStore: 50: Opening raw store with
> implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
> 15/10/21 21:23:19 INFO metastore.ObjectStore: ObjectStore, initialize called
> 15/10/21 21:23:19 INFO DataNucleus.Query: Reading in results for query
> "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is
> closing
> 15/10/21 21:23:19 INFO metastore.MetaStoreDirectSql: Using direct SQL,
> underlying DB is MYSQL
> 15/10/21 21:23:19 INFO metastore.ObjectStore: Initialized ObjectStore
> 15/10/21 21:23:19 INFO storage.MemoryStore: ensureFreeSpace(215680) called
> with curMem=4377993, maxMem=139009720
> 15/10/21 21:23:19 INFO storage.MemoryStore: Block broadcast_63 stored as
> values in memory (estimated size 210.6 KB, free 128.2 MB)
> 15/10/21 21:23:19 INFO storage.MemoryStore: ensureFreeSpace(20265) called
> with curMem=4593673, maxMem=139009720
> 15/10/21 21:23:19 INFO storage.MemoryStore: Block broadcast_63_piece0 stored
> as bytes in memory (estimated size 19.8 KB, free 128.2 MB)
> 15/10/21 21:23:19 INFO storage.BlockManagerInfo: Added broadcast_63_piece0 in
> memory on 192.168.99.9:50262 (size: 19.8 KB, free: 132.2 MB)
> 15/10/21 21:23:19 INFO spark.SparkContext: Created broadcast 63 from run at
> AccessController.java:-2
> 15/10/21 21:23:19 INFO thriftserver.SparkExecuteStatementOperation: Result
> Schema: List(plan#262)
> 15/10/21 21:23:19 INFO thriftserver.SparkExecuteStatementOperation: Result
> Schema: List(plan#262)
> 15/10/21 21:23:19 INFO thriftserver.SparkExecuteStatementOperation: Result
> Schema: List(plan#262)
> {code}
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