[
https://issues.apache.org/jira/browse/HIVE-8291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mostafa Mokhtar updated HIVE-8291:
----------------------------------
Description:
Reading from bucketed partitioned tables has significantly higher overhead
compared to non-bucketed non-partitioned files.
50% of the time is spent in these two lines of code in
OrcInputFormate.getReader()
{code}
String txnString = conf.get(ValidTxnList.VALID_TXNS_KEY,
Long.MAX_VALUE + ":");
ValidTxnList validTxnList = new ValidTxnListImpl(txnString);
{code}
{code}
Stack Trace Sample Count Percentage(%)
hive.ql.exec.tez.MapRecordSource.pushRecord() 2,981 87.215
org.apache.tez.mapreduce.lib.MRReaderMapred.next() 2,002
58.572
mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.next(Object,
Object) 2,002 58.572
mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.initNextRecordReader()
1,984 58.046
hive.ql.io.HiveInputFormat.getRecordReader(InputSplit, JobConf, Reporter) 1,983
58.016
hive.ql.io.orc.OrcInputFormat.getRecordReader(InputSplit, JobConf, Reporter)
1,891 55.325
hive.ql.io.orc.OrcInputFormat.getReader(InputSplit, AcidInputFormat$Options)
1,723 50.41
hive.common.ValidTxnListImpl.<init>(String) 934 27.326
conf.Configuration.get(String, String)
621 18.169
{code}
was:
When loading into a partitioned bucketed sorted table the query fails with
{code}
Caused by:
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.protocol.AlreadyBeingCreatedException):
Failed to create file
[/tmp/hive/mmokhtar/621d7923-90d1-4d9d-a4c6-b3bb075c7a8c/hive_2014-09-22_23-25-11_678_1598300430132235708-1/_task_tmp.-ext-10000/ss_sold_date=1998-01-02/_tmp.000000_3/delta_0123305_0123305/bucket_00000]
for [DFSClient_attempt_1406566393272_6085_r_000144_3_-1677753045_12] for
client [172.21.128.111], because this file is already being created by
[DFSClient_attempt_1406566393272_6085_r_000031_3_-1506661042_12] on
[172.21.128.122]
at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.recoverLeaseInternal(FSNamesystem.java:2543)
at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInternal(FSNamesystem.java:2308)
at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2237)
at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2190)
at
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:520)
at
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:354)
at
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1557)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
at org.apache.hadoop.ipc.Client.call(Client.java:1410)
at org.apache.hadoop.ipc.Client.call(Client.java:1363)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy15.create(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:190)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:103)
at com.sun.proxy.$Proxy15.create(Unknown Source)
at
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.create(ClientNamenodeProtocolTranslatorPB.java:258)
at
org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:1600)
at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1465)
at org.apache.hadoop.hdfs.DFSClient.create(DFSClient.java:1390)
at
org.apache.hadoop.hdfs.DistributedFileSystem$6.doCall(DistributedFileSystem.java:394)
at
org.apache.hadoop.hdfs.DistributedFileSystem$6.doCall(DistributedFileSystem.java:390)
at
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:390)
at
org.apache.hadoop.hdfs.DistributedFileSystem.create(DistributedFileSystem.java:334)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:906)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:887)
at
org.apache.hadoop.hive.ql.io.orc.WriterImpl.getStream(WriterImpl.java:1966)
at
org.apache.hadoop.hive.ql.io.orc.WriterImpl.flushStripe(WriterImpl.java:1983)
at
org.apache.hadoop.hive.ql.io.orc.WriterImpl.close(WriterImpl.java:2287)
at
org.apache.hadoop.hive.ql.io.orc.OrcRecordUpdater.close(OrcRecordUpdater.java:356)
at org.apache.hadoop.hive.ql.exec.FileSinkOperator$FSPaths.closeWriter
{code}
DDL
{code}
CREATE TABLE store_sales_sb (
ss_sold_date_sk int,
ss_sold_time_sk int,
ss_item_sk int,
ss_customer_sk int,
ss_cdemo_sk int,
ss_hdemo_sk int,
ss_addr_sk int,
ss_store_sk int,
ss_promo_sk int,
ss_ticket_number int,
ss_quantity int,
ss_wholesale_cost float,
ss_list_price float,
ss_sales_price float,
ss_ext_discount_amt float,
ss_ext_sales_price float,
ss_ext_wholesale_cost float,
ss_ext_list_price float,
ss_ext_tax float,
ss_coupon_amt float,
ss_net_paid float,
ss_net_paid_inc_tax float,
ss_net_profit float)
PARTITIONED BY(ss_sold_date string)
CLUSTERED BY(ss_item_sk,ss_ticket_number) SORTED
BY(ss_item_sk,ss_ticket_number) INTO 32 BUCKETS
STORED AS ORC;
{code}
DML
{code}
insert overwrite table store_sales_sb partition (ss_sold_date)
select
ss.ss_sold_date_sk,
ss.ss_sold_time_sk,
ss.ss_item_sk,
ss.ss_customer_sk,
ss.ss_cdemo_sk,
ss.ss_hdemo_sk,
ss.ss_addr_sk,
ss.ss_store_sk,
ss.ss_promo_sk,
ss.ss_ticket_number,
ss.ss_quantity,
ss.ss_wholesale_cost,
ss.ss_list_price,
ss.ss_sales_price,
ss.ss_ext_discount_amt,
ss.ss_ext_sales_price,
ss.ss_ext_wholesale_cost,
ss.ss_ext_list_price,
ss.ss_ext_tax,
ss.ss_coupon_amt,
ss.ss_net_paid,
ss.ss_net_paid_inc_tax,
ss.ss_net_profit,
ss.ss_sold_date
from store_sales ss;
{code}
> Reading from partitioned bucketed tables has high overhead, 50% of time is
> spent in OrcInputFormat.getReader
> ------------------------------------------------------------------------------------------------------------
>
> Key: HIVE-8291
> URL: https://issues.apache.org/jira/browse/HIVE-8291
> Project: Hive
> Issue Type: Bug
> Components: Query Processor
> Affects Versions: 0.14.0
> Environment: cn105
> Reporter: Mostafa Mokhtar
> Assignee: Prasanth J
> Fix For: 0.14.0
>
>
> Reading from bucketed partitioned tables has significantly higher overhead
> compared to non-bucketed non-partitioned files.
> 50% of the time is spent in these two lines of code in
> OrcInputFormate.getReader()
> {code}
> String txnString = conf.get(ValidTxnList.VALID_TXNS_KEY,
> Long.MAX_VALUE + ":");
> ValidTxnList validTxnList = new ValidTxnListImpl(txnString);
> {code}
> {code}
> Stack Trace Sample Count Percentage(%)
> hive.ql.exec.tez.MapRecordSource.pushRecord() 2,981
> 87.215
> org.apache.tez.mapreduce.lib.MRReaderMapred.next()
> 2,002 58.572
>
> mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.next(Object,
> Object) 2,002 58.572
>
> mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.initNextRecordReader()
> 1,984 58.046
>
> hive.ql.io.HiveInputFormat.getRecordReader(InputSplit, JobConf, Reporter)
> 1,983 58.016
>
> hive.ql.io.orc.OrcInputFormat.getRecordReader(InputSplit, JobConf, Reporter)
> 1,891 55.325
>
> hive.ql.io.orc.OrcInputFormat.getReader(InputSplit, AcidInputFormat$Options)
> 1,723 50.41
>
> hive.common.ValidTxnListImpl.<init>(String) 934 27.326
> conf.Configuration.get(String, String)
> 621 18.169
> {code}
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