[jira] Subscription: PIG patch available

Issue Subscription Filter: PIG patch available (27 issues) Subscriber: pigdaily Key Summary PIG-4926Modify the content of start.xml for spark mode https://issues-test.apache.org/jira/browse/PIG-4926 PIG-4922Deadlock between SpillableMemoryManager and InternalSortedBag

[jira] Subscription: PIG patch available

Issue Subscription Filter: PIG patch available (34 issues) Subscriber: pigdaily Key Summary PIG-5043Slowstart not applied in Tez with PARALLEL clause and auto parallelism not applied for UnorderedPartitioned https://issues.apache.org/jira/browse/PIG-5043 PIG-5037Add a

[jira] [Comment Edited] (PIG-5042) Pig with Tez requires a staging directory with submitter ownership

[ https://issues.apache.org/jira/browse/PIG-5042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15596976#comment-15596976 ] Daniel Dai edited comment on PIG-5042 at 10/22/16 2:35 AM: --- We set

[jira] [Commented] (PIG-5042) Pig with Tez requires a staging directory with submitter ownership

[ https://issues.apache.org/jira/browse/PIG-5042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15596976#comment-15596976 ] Daniel Dai commented on PIG-5042: - We set staging dir to the user specific directory: /tmp/$

Build failed in Jenkins: Pig-trunk-commit #2382

See Changes: [daijy] PIG-5045: CSVExcelStorage Load: A Quoted Field with a Single Escaped Quote Becomes "" This should become " instead -- [...truncated 3001 lines...] [javadoc] Loading

[jira] [Updated] (PIG-5045) CSVExcelStorage Load: A Quoted Field with a Single Escaped Quote """" Becomes "" This should become " instead.

[ https://issues.apache.org/jira/browse/PIG-5045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Dai updated PIG-5045: Resolution: Fixed Hadoop Flags: Reviewed Fix Version/s: (was: 0.16.1) Status: Resolv

Re: submit pig job using hdfs or hive user

Have you tried user.name? On 10/19/16, 6:14 AM, "李运田" wrote: >I want to submit pig job using hdfs or hive user > > >conf.set("hadoop.job.ugi", "hdfs"); >conf.set("HADOOP_USER_NAME", "hdfs"); >conf.set("user", "hdfs"); >but,every is wrong.how can I set the user to submit pig job

Build failed in Jenkins: Pig-trunk-commit #2381

See Changes: [daijy] PIG-5026: Remove src/META-INF/services/org.apache.hadoop.mapreduce.protocol.ClientProtocolProvider -- [...truncated 3011 lines...] [javadoc] Loading source files for pack

[jira] [Updated] (PIG-5026) Remove src/META-INF/services/org.apache.hadoop.mapreduce.protocol.ClientProtocolProvider

[ https://issues.apache.org/jira/browse/PIG-5026?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Dai updated PIG-5026: Resolution: Fixed Hadoop Flags: Reviewed Fix Version/s: 0.17.0 Status: Resolved (was: P

Re: Pig Hive UDTF support

This is a bug, created PIG-5048. Thanks! On 10/10/16, 10:28 AM, "Nandor Kollar" wrote: >Hi, > >I wanted to test Pig-HiveUDF support, and the example in HiveUDTF failed >with trunk version. > >I tried 'explode' HiveUDTF using a file with a simple bag: {(A), (B), (C), >(D)} >When I launched thi

[jira] [Updated] (PIG-5048) HiveUDTF fail if it is the first expression in projection

[ https://issues.apache.org/jira/browse/PIG-5048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Dai updated PIG-5048: Description: The following script fail: {code} define explode HiveUDTF('explode'); A = load 'bag.txt' as (a0:{

[jira] [Created] (PIG-5048) HiveUDTF fail if it is the first expression in projection

Daniel Dai created PIG-5048: --- Summary: HiveUDTF fail if it is the first expression in projection Key: PIG-5048 URL: https://issues.apache.org/jira/browse/PIG-5048 Project: Pig Issue Type: Bug

[jira] [Resolved] (PIG-4890) Run pigmix on spark on yarn with multiple nodes

[ https://issues.apache.org/jira/browse/PIG-4890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] liyunzhang_intel resolved PIG-4890. --- Resolution: Duplicate Duplicated with PIG-4846 > Run pigmix on spark on yarn with multiple node