[jira] [Commented] (HIVE-10276) Implement date_format(timestamp, fmt) UDF
[ https://issues.apache.org/jira/browse/HIVE-10276?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14507869#comment-14507869 ] Alexander Pivovarov commented on HIVE-10276: The function description was added to Language Manual https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF#LanguageManualUDF-DateFunctions Implement date_format(timestamp, fmt) UDF - Key: HIVE-10276 URL: https://issues.apache.org/jira/browse/HIVE-10276 Project: Hive Issue Type: Improvement Components: UDF Reporter: Alexander Pivovarov Assignee: Alexander Pivovarov Fix For: 1.2.0 Attachments: HIVE-10276.01.patch date_format(date/timestamp/string, fmt) converts a date/timestamp/string to a value of String in the format specified by the java date format fmt. Supported formats listed here: https://docs.oracle.com/javase/7/docs/api/java/text/SimpleDateFormat.html -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HIVE-10276) Implement date_format(timestamp, fmt) UDF
[ https://issues.apache.org/jira/browse/HIVE-10276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Alexander Pivovarov updated HIVE-10276: --- Labels: (was: TODOC1.2) Implement date_format(timestamp, fmt) UDF - Key: HIVE-10276 URL: https://issues.apache.org/jira/browse/HIVE-10276 Project: Hive Issue Type: Improvement Components: UDF Reporter: Alexander Pivovarov Assignee: Alexander Pivovarov Fix For: 1.2.0 Attachments: HIVE-10276.01.patch date_format(date/timestamp/string, fmt) converts a date/timestamp/string to a value of String in the format specified by the java date format fmt. Supported formats listed here: https://docs.oracle.com/javase/7/docs/api/java/text/SimpleDateFormat.html -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-8307) null character in columns.comments schema property breaks jobconf.xml
[ https://issues.apache.org/jira/browse/HIVE-8307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14507960#comment-14507960 ] Jason Dere commented on HIVE-8307: -- I had created HIVE-10428 and added a patch, but I see that this also relates to columns.comments. So this fix will basically revert the changes from HIVE-6681? Can you re-submit the patch so we can see that the patch still works on trunk? null character in columns.comments schema property breaks jobconf.xml - Key: HIVE-8307 URL: https://issues.apache.org/jira/browse/HIVE-8307 Project: Hive Issue Type: Bug Components: Metastore Affects Versions: 0.13.0, 0.14.0, 0.13.1 Reporter: Carl Laird Assignee: Ashutosh Chauhan Attachments: HIVE-8307.1.patch, HIVE-8307.2.patch, HIVE-8307.patch It would appear that the fix for https://issues.apache.org/jira/browse/HIVE-6681 is causing the null character to show up in job config xml files: I get the following when trying to insert into an elasticsearch backed table: [Fatal Error] :336:51: Character reference # 14/06/17 14:40:11 FATAL conf.Configuration: error parsing conf file: org.xml.sax.SAXParseException; lineNumber: 336; columnNumber: 51; Character reference # Exception in thread main java.lang.RuntimeException: org.xml.sax.SAXParseException; lineNumber: 336; columnNumber: 51; Character reference # at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:1263) at org.apache.hadoop.conf.Configuration.loadResources(Configuration.java:1129) at org.apache.hadoop.conf.Configuration.getProps(Configuration.java:1063) at org.apache.hadoop.conf.Configuration.get(Configuration.java:416) at org.apache.hadoop.conf.Configuration.getBoolean(Configuration.java:604) at org.apache.hadoop.hive.conf.HiveConf.getBoolVar(HiveConf.java:1273) at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.main(ExecDriver.java:667) 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.util.RunJar.main(RunJar.java:156) Caused by: org.xml.sax.SAXParseException; lineNumber: 336; columnNumber: 51; Character reference # at com.sun.org.apache.xerces.internal.parsers.DOMParser.parse(DOMParser.java:251) at com.sun.org.apache.xerces.internal.jaxp.DocumentBuilderImpl.parse(DocumentBuilderImpl.java:300) at javax.xml.parsers.DocumentBuilder.parse(DocumentBuilder.java:121) at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:1181) ... 11 more Execution failed with exit status: 1 Line 336 of jobconf.xml: propertynamecolumns.comments/namevalue#0;#0;#0;#0;#0;#0;#0;#0;#0;#0;#0;#0;/value/property See https://groups.google.com/forum/#!msg/mongodb-user/lKbha0SzMP8/jvE8ZrJom4AJ for more discussion. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HIVE-9824) LLAP: Native Vectorization of Map Join
[ https://issues.apache.org/jira/browse/HIVE-9824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sergey Shelukhin updated HIVE-9824: --- Summary: LLAP: Native Vectorization of Map Join (was: LLAP: Native Vectorization of Map Join so previously CPU bound queries shift their bottleneck to I/O and make it possible for the rest of LLAP to shine ;)) LLAP: Native Vectorization of Map Join -- Key: HIVE-9824 URL: https://issues.apache.org/jira/browse/HIVE-9824 Project: Hive Issue Type: Sub-task Reporter: Matt McCline Assignee: Matt McCline Priority: Critical Attachments: HIVE-9824.01.patch, HIVE-9824.02.patch, HIVE-9824.04.patch, HIVE-9824.06.patch, HIVE-9824.07.patch, HIVE-9824.08.patch, HIVE-9824.09.patch Today's VectorMapJoinOperator is a pass-through that converts each row from a vectorized row batch in a Java Object[] row and passes it to the MapJoinOperator superclass. This enhancement creates specialized vectorized map join operator classes that are optimized. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-10382) Aggregate stats cache for RDBMS based metastore codepath
[ https://issues.apache.org/jira/browse/HIVE-10382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14508094#comment-14508094 ] Vaibhav Gumashta commented on HIVE-10382: - [~thejas] [~mmokhtar] thanks for feedback on RB. In addition to that, as discussed offline, it is better to have the user specify a memory size for the cache rather than number of objects. I'll have a new patch soon. Aggregate stats cache for RDBMS based metastore codepath Key: HIVE-10382 URL: https://issues.apache.org/jira/browse/HIVE-10382 Project: Hive Issue Type: Improvement Components: Metastore Affects Versions: 1.2.0 Reporter: Vaibhav Gumashta Assignee: Vaibhav Gumashta Fix For: 1.2.0 Attachments: HIVE-10382.1.patch, HIVE-10382.1.patch Similar to the work done on the HBase branch (HIVE-9693), the stats cache can potentially have performance gains. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-10403) Add n-way join support for Hybrid Grace Hash Join
[ https://issues.apache.org/jira/browse/HIVE-10403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506609#comment-14506609 ] Wei Zheng commented on HIVE-10403: -- Sure, I will add one when the patch is stable. Add n-way join support for Hybrid Grace Hash Join - Key: HIVE-10403 URL: https://issues.apache.org/jira/browse/HIVE-10403 Project: Hive Issue Type: Improvement Affects Versions: 1.2.0 Reporter: Wei Zheng Assignee: Wei Zheng Attachments: HIVE-10403.01.patch Currently Hybrid Grace Hash Join only supports 2-way join (one big table and one small table). This task will enable n-way join (one big table and multiple small tables). -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HIVE-10403) Add n-way join support for Hybrid Grace Hash Join
[ https://issues.apache.org/jira/browse/HIVE-10403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wei Zheng updated HIVE-10403: - Attachment: HIVE-10403.02.patch Upload patch 02 for testing Add n-way join support for Hybrid Grace Hash Join - Key: HIVE-10403 URL: https://issues.apache.org/jira/browse/HIVE-10403 Project: Hive Issue Type: Improvement Affects Versions: 1.2.0 Reporter: Wei Zheng Assignee: Wei Zheng Attachments: HIVE-10403.01.patch, HIVE-10403.02.patch Currently Hybrid Grace Hash Join only supports 2-way join (one big table and one small table). This task will enable n-way join (one big table and multiple small tables). -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-10417) Parallel Order By return wrong results for partitioned tables
[ https://issues.apache.org/jira/browse/HIVE-10417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506648#comment-14506648 ] Nemon Lou commented on HIVE-10417: -- There are 2 major issues in ExecDriver's handleSampling method 1, mWork.getPartitionDescs() desn't return enough number of PartitionDescs 2, job's inputdir is overwritten during samping Parallel Order By return wrong results for partitioned tables - Key: HIVE-10417 URL: https://issues.apache.org/jira/browse/HIVE-10417 Project: Hive Issue Type: Bug Affects Versions: 0.14.0, 0.13.1, 1.0.0 Reporter: Nemon Lou Assignee: Nemon Lou Following is the script that reproduce this bug. set hive.optimize.sampling.orderby=true; set mapreduce.job.reduces=10; select * from src order by key desc limit 10; +--++ | src.key | src.value | +--++ | 98 | val_98 | | 98 | val_98 | | 97 | val_97 | | 97 | val_97 | | 96 | val_96 | | 95 | val_95 | | 95 | val_95 | | 92 | val_92 | | 90 | val_90 | | 90 | val_90 | +--++ 10 rows selected (47.916 seconds) reset; create table src_orc_p (key string ,value string ) partitioned by (kp string) stored as orc tblproperties(orc.compress=SNAPPY); set hive.exec.dynamic.partition.mode=nonstrict; set hive.exec.max.dynamic.partitions.pernode=1; set hive.exec.max.dynamic.partitions=1; insert into table src_orc_p partition(kp) select *,substring(key,1) from src distribute by substring(key,1); set mapreduce.job.reduces=10; set hive.optimize.sampling.orderby=true; select * from src_orc_p order by key desc limit 10; ++--+-+ | src_orc_p.key | src_orc_p.value | src_orc_p.kend | ++--+-+ | 0 | val_0| 0 | | 0 | val_0| 0 | | 0 | val_0| 0 | ++--+-+ 3 rows selected (39.861 seconds) -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HIVE-10416) CBO (Calcite Return Path): Fix return columns if Sort operator is on top of plan returned by Calcite
[
https://issues.apache.org/jira/browse/HIVE-10416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jesus Camacho Rodriguez updated HIVE-10416:
---
Attachment: HIVE-10416.01.patch
New patch addresses [~jpullokkaran] and [~ashutoshc] comments.
CBO (Calcite Return Path): Fix return columns if Sort operator is on top of
plan returned by Calcite
Key: HIVE-10416
URL: https://issues.apache.org/jira/browse/HIVE-10416
Project: Hive
Issue Type: Sub-task
Components: CBO
Reporter: Jesus Camacho Rodriguez
Assignee: Jesus Camacho Rodriguez
Fix For: 1.2.0
Attachments: HIVE-10416.01.patch, HIVE-10416.patch
When return path is on, if the plan's top operator is a Sort, we need to
produce a SelectOp that will output exactly the columns needed by the FS.
The following query reproduces the problem:
{noformat}
select cbo_t3.c_int, c, count(*)
from (select key as a, c_int+1 as b, sum(c_int) as c from cbo_t1
where (cbo_t1.c_int + 1 = 0) and (cbo_t1.c_int 0 or cbo_t1.c_float = 0)
group by c_float, cbo_t1.c_int, key order by a) cbo_t1
join (select key as p, c_int+1 as q, sum(c_int) as r from cbo_t2
where (cbo_t2.c_int + 1 = 0) and (cbo_t2.c_int 0 or cbo_t2.c_float = 0)
group by c_float, cbo_t2.c_int, key order by q/10 desc, r asc) cbo_t2 on
cbo_t1.a=p
join cbo_t3 on cbo_t1.a=key
where (b + cbo_t2.q = 0) and (b 0 or c_int = 0)
group by cbo_t3.c_int, c order by cbo_t3.c_int+c desc, c;
{noformat}
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[jira] [Updated] (HIVE-9824) LLAP: Native Vectorization of Map Join so previously CPU bound queries shift their bottleneck to I/O and make it possible for the rest of LLAP to shine ;)
[ https://issues.apache.org/jira/browse/HIVE-9824?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Matt McCline updated HIVE-9824: --- Attachment: HIVE-9824.09.patch Improve some error messages. LLAP: Native Vectorization of Map Join so previously CPU bound queries shift their bottleneck to I/O and make it possible for the rest of LLAP to shine ;) -- Key: HIVE-9824 URL: https://issues.apache.org/jira/browse/HIVE-9824 Project: Hive Issue Type: Sub-task Reporter: Matt McCline Assignee: Matt McCline Priority: Critical Attachments: HIVE-9824.01.patch, HIVE-9824.02.patch, HIVE-9824.04.patch, HIVE-9824.06.patch, HIVE-9824.07.patch, HIVE-9824.08.patch, HIVE-9824.09.patch Today's VectorMapJoinOperator is a pass-through that converts each row from a vectorized row batch in a Java Object[] row and passes it to the MapJoinOperator superclass. This enhancement creates specialized vectorized map join operator classes that are optimized. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-10417) Parallel Order By return wrong results for partitioned tables
[
https://issues.apache.org/jira/browse/HIVE-10417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506650#comment-14506650
]
Nemon Lou commented on HIVE-10417:
--
Issue 1 raise the following error and makes sampling failed:
{quote}
2015-04-21 17:23:48,425 | ERROR | HiveServer2-Background-Pool: Thread-771 |
Sampling error |
org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:389)
java.io.IOException: java.util.NoSuchElementException
at
org.apache.hadoop.hive.ql.exec.FetchOperator.getNextRow(FetchOperator.java:636)
at
org.apache.hadoop.hive.ql.exec.FetchOperator.pushRow(FetchOperator.java:534)
at
org.apache.hadoop.hive.ql.exec.PartitionKeySampler$FetchSampler.pushRow(PartitionKeySampler.java:153)
at
org.apache.hadoop.hive.ql.exec.mr.ExecDriver.handleSampling(ExecDriver.java:552)
at
org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:382)
at
org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:160)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:153)
at
org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1549)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1318)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1136)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:959)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:954)
at
org.apache.hive.service.cli.operation.SQLOperation.runInternal(SQLOperation.java:157)
at
org.apache.hive.service.cli.operation.SQLOperation.access$000(SQLOperation.java:72)
at
org.apache.hive.service.cli.operation.SQLOperation$1$1.run(SQLOperation.java:231)
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:1612)
at
org.apache.hadoop.hive.shims.HadoopShimsSecure.doAs(HadoopShimsSecure.java:493)
at
org.apache.hive.service.cli.operation.SQLOperation$1.run(SQLOperation.java:241)
at
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.NoSuchElementException
at java.util.ArrayList$Itr.next(ArrayList.java:834)
at
org.apache.hadoop.hive.ql.exec.FetchOperator.getNextPath(FetchOperator.java:364)
at
org.apache.hadoop.hive.ql.exec.FetchOperator.getRecordReader(FetchOperator.java:389)
at
org.apache.hadoop.hive.ql.exec.FetchOperator.getRecordReader(FetchOperator.java:465)
at
org.apache.hadoop.hive.ql.exec.FetchOperator.getNextRow(FetchOperator.java:561)
... 25 more
{quote}
Parallel Order By return wrong results for partitioned tables
-
Key: HIVE-10417
URL: https://issues.apache.org/jira/browse/HIVE-10417
Project: Hive
Issue Type: Bug
Affects Versions: 0.14.0, 0.13.1, 1.0.0
Reporter: Nemon Lou
Assignee: Nemon Lou
Following is the script that reproduce this bug.
set hive.optimize.sampling.orderby=true;
set mapreduce.job.reduces=10;
select * from src order by key desc limit 10;
+--++
| src.key | src.value |
+--++
| 98 | val_98 |
| 98 | val_98 |
| 97 | val_97 |
| 97 | val_97 |
| 96 | val_96 |
| 95 | val_95 |
| 95 | val_95 |
| 92 | val_92 |
| 90 | val_90 |
| 90 | val_90 |
+--++
10 rows selected (47.916 seconds)
reset;
create table src_orc_p (key string ,value string )
partitioned by (kp string)
stored as orc
tblproperties(orc.compress=SNAPPY);
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions.pernode=1;
set hive.exec.max.dynamic.partitions=1;
insert into table src_orc_p partition(kp) select *,substring(key,1) from src
distribute by substring(key,1);
set mapreduce.job.reduces=10;
set hive.optimize.sampling.orderby=true;
select * from src_orc_p order by key desc limit 10;
++--+-+
| src_orc_p.key | src_orc_p.value | src_orc_p.kend |
++--+-+
| 0
[jira] [Commented] (HIVE-10324) Hive metatool should take table_param_key to allow for changes to avro serde's schema url key
[
https://issues.apache.org/jira/browse/HIVE-10324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506693#comment-14506693
]
Lefty Leverenz commented on HIVE-10324:
---
[~Ferd], a first draft of the metatool doc is ready for review in the wiki:
* [Hive MetaTool |
https://cwiki.apache.org/confluence/display/Hive/Hive+MetaTool]
Hive metatool should take table_param_key to allow for changes to avro
serde's schema url key
-
Key: HIVE-10324
URL: https://issues.apache.org/jira/browse/HIVE-10324
Project: Hive
Issue Type: Bug
Components: Metastore
Affects Versions: 1.1.0
Reporter: Szehon Ho
Assignee: Ferdinand Xu
Fix For: 1.2.0
Attachments: HIVE-10324.1.patch, HIVE-10324.patch,
HIVE-10324.patch.WIP
HIVE-3443 added support to change the serdeParams from 'metatool
updateLocation' command.
However, in avro it is possible to specify the schema via the tableParams:
{noformat}
CREATE TABLE `testavro`(
`test` string COMMENT 'from deserializer')
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
TBLPROPERTIES (
'avro.schema.url'='hdfs://namenode:8020/tmp/test.avsc',
'kite.compression.type'='snappy',
'transient_lastDdlTime'='1427996456')
{noformat}
Hence for those tables the 'metatool updateLocation' will not help.
This is necessary in case like upgrade the namenode to HA where the absolute
paths have changed.
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[jira] [Commented] (HIVE-10435) Make HiveSession implementation pluggable through configuration
[ https://issues.apache.org/jira/browse/HIVE-10435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506692#comment-14506692 ] Amareshwari Sriramadasu commented on HIVE-10435: Usecase : In Apache Lens, we would like to use CLIService and SessionManager directly and give an implementation as LensSessionImpl. Here is a commit on forked repo of hive - https://github.com/InMobi/hive/commit/ed79ba365cfff4cc485d4ffb546453472c25ca86. If nobody objects, we would like to port it into hive itself. Make HiveSession implementation pluggable through configuration --- Key: HIVE-10435 URL: https://issues.apache.org/jira/browse/HIVE-10435 Project: Hive Issue Type: Improvement Components: HiveServer2 Reporter: Amareshwari Sriramadasu SessionManager in CLIService creates and keeps track of HiveSession. Right now, it creates HiveSessionImpl which is one implementation of HiveSession. This improvement request is to make it pluggable through a configuration sothat other implementations can be passed. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (HIVE-10403) Add n-way join support for Hybrid Grace Hash Join
[
https://issues.apache.org/jira/browse/HIVE-10403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14506697#comment-14506697
]
Hive QA commented on HIVE-10403:
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12727151/HIVE-10403.02.patch
{color:red}ERROR:{color} -1 due to 17 failed/errored test(s), 8729 tests
executed
*Failed tests:*
{noformat}
TestMinimrCliDriver-bucketmapjoin6.q-constprog_partitioner.q-infer_bucket_sort_dyn_part.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-external_table_with_space_in_location_path.q-infer_bucket_sort_merge.q-auto_sortmerge_join_16.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-groupby2.q-import_exported_table.q-bucketizedhiveinputformat.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-index_bitmap3.q-stats_counter_partitioned.q-temp_table_external.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-infer_bucket_sort_map_operators.q-join1.q-bucketmapjoin7.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-infer_bucket_sort_num_buckets.q-disable_merge_for_bucketing.q-uber_reduce.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-infer_bucket_sort_reducers_power_two.q-scriptfile1.q-scriptfile1_win.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-leftsemijoin_mr.q-load_hdfs_file_with_space_in_the_name.q-root_dir_external_table.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-list_bucket_dml_10.q-bucket_num_reducers.q-bucket6.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-load_fs2.q-file_with_header_footer.q-ql_rewrite_gbtoidx_cbo_1.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-parallel_orderby.q-reduce_deduplicate.q-ql_rewrite_gbtoidx_cbo_2.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-ql_rewrite_gbtoidx.q-smb_mapjoin_8.q - did not produce a
TEST-*.xml file
TestMinimrCliDriver-schemeAuthority2.q-bucket4.q-input16_cc.q-and-1-more - did
not produce a TEST-*.xml file
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_udaf_histogram_numeric
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_auto_sortmerge_join_13
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_tez_join_hash
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_tez_smb_main
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3525/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3525/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3525/
Messages:
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Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 17 tests failed
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This message is automatically generated.
ATTACHMENT ID: 12727151 - PreCommit-HIVE-TRUNK-Build
Add n-way join support for Hybrid Grace Hash Join
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Key: HIVE-10403
URL: https://issues.apache.org/jira/browse/HIVE-10403
Project: Hive
Issue Type: Improvement
Affects Versions: 1.2.0
Reporter: Wei Zheng
Assignee: Wei Zheng
Attachments: HIVE-10403.01.patch, HIVE-10403.02.patch
Currently Hybrid Grace Hash Join only supports 2-way join (one big table and
one small table). This task will enable n-way join (one big table and
multiple small tables).
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