[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14530279#comment-14530279
]
Sushanth Sowmyan commented on HIVE-9845:
Note : precommit link when it runs will be at
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3761
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch,
HIVE-9845.5.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
This message was sent by Atlassian JIRA
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[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14531306#comment-14531306
]
Hive QA commented on HIVE-9845:
---
{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/12730874/HIVE-9845.6.patch
{color:red}ERROR:{color} -1 due to 25 failed/errored test(s), 8900 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_authorization_parts
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_insert_partition_dynamic
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_insert_partition_static
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_join_unencrypted_tbl
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_join_with_different_encryption_keys
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_load_data_to_encrypted_tables
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_select_read_only_encrypted_tbl
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_disallow_transform
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_droppartition
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_sba_drop_table
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_uri_alterpart_loc
org.apache.hadoop.hive.ql.security.TestStorageBasedClientSideAuthorizationProvider.testSimplePrivileges
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationDrops.testDropDatabase
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationDrops.testDropPartition
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationDrops.testDropTable
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationDrops.testDropView
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationProvider.testSimplePrivileges
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationProviderWithACL.testSimplePrivileges
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationReads.testReadDbFailure
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationReads.testReadDbSuccess
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationReads.testReadTableFailure
org.apache.hadoop.hive.ql.security.TestStorageBasedMetastoreAuthorizationReads.testReadTableSuccess
org.apache.hadoop.hive.ql.security.authorization.plugin.sqlstd.TestSQLStdHiveAccessControllerHS2.testConfigProcessing
org.apache.hadoop.hive.ql.security.authorization.plugin.sqlstd.TestSQLStdHiveAccessControllerHS2.testConfigProcessingCustomSetWhitelistAppend
org.apache.hive.hcatalog.streaming.TestStreaming.testTransactionBatchEmptyCommit
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3783/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3783/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3783/
Messages:
{noformat}
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: 25 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12730874 - PreCommit-HIVE-TRUNK-Build
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch,
HIVE-9845.5.patch, HIVE-9845.6.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14531404#comment-14531404
]
Sushanth Sowmyan commented on HIVE-9845:
None of the test failure appear related, will go ahead and commit, +1.
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch,
HIVE-9845.5.patch, HIVE-9845.6.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
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[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14529007#comment-14529007
]
Mithun Radhakrishnan commented on HIVE-9845:
Here's the updated patch. Sorry for the delay.
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch,
HIVE-9845.5.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14528830#comment-14528830
]
Mithun Radhakrishnan commented on HIVE-9845:
I'll upload a new patch shortly.
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
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(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14527788#comment-14527788
]
Sushanth Sowmyan commented on HIVE-9845:
+1 to intent, but I have one change to request:
HCatBaseInputFormat.getSplits : Per the refactor you did, allCols is no longer
used - it can be removed. Keeping it there would cause future confusion.
Could you please upload a new patch with just that changed, and we can queue
this to the precommit tests, and get it in. Thanks!
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14491234#comment-14491234
]
Hive QA commented on HIVE-9845:
---
{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/12724615/HIVE-9845.4.patch
{color:red}ERROR:{color} -1 due to 15 failed/errored test(s), 8672 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.hive.jdbc.TestJdbcWithMiniHS2.testNewConnectionConfiguration
org.apache.hive.spark.client.TestSparkClient.testSyncRpc
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3384/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3384/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3384/
Messages:
{noformat}
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: 15 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12724615 - PreCommit-HIVE-TRUNK-Build
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
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(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14491235#comment-14491235
]
Mithun Radhakrishnan commented on HIVE-9845:
The failures are unrelated to the code-change.
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
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(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14388925#comment-14388925
]
Mithun Radhakrishnan commented on HIVE-9845:
Bah, finally. Unrelated test-failures.
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14389772#comment-14389772
]
Hive QA commented on HIVE-9845:
---
{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/12708487/HIVE-9845.3.patch
{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 8692 tests executed
*Failed tests:*
{noformat}
TestMinimrCliDriver-smb_mapjoin_8.q - did not produce a TEST-*.xml file
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_udaf_percentile_approx_23
org.apache.hive.jdbc.TestMultiSessionsHS2WithLocalClusterSpark.testSparkQuery
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3226/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3226/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3226/
Messages:
{noformat}
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: 3 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12708487 - PreCommit-HIVE-TRUNK-Build
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
--
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(v6.3.4#6332)
[jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
[
https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14372362#comment-14372362
]
Hive QA commented on HIVE-9845:
---
{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/12706054/HIVE-9845.1.patch
{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 7819 tests executed
*Failed tests:*
{noformat}
org.apache.hive.hcatalog.mapreduce.TestHCatOutputFormat.testSetOutput
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3097/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3097/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3097/
Messages:
{noformat}
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: 1 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12706054 - PreCommit-HIVE-TRUNK-Build
HCatSplit repeats information making input split data size huge
---
Key: HIVE-9845
URL: https://issues.apache.org/jira/browse/HIVE-9845
Project: Hive
Issue Type: Bug
Components: HCatalog
Reporter: Rohini Palaniswamy
Assignee: Mithun Radhakrishnan
Attachments: HIVE-9845.1.patch
Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which
has even triple the number of splits(100K+ splits and tasks) does not hit
that issue.
{code}
HCatBaseInputFormat.java:
//Call getSplit on the InputFormat, create an
//HCatSplit for each underlying split
//NumSplits is 0 for our purposes
org.apache.hadoop.mapred.InputSplit[] baseSplits =
inputFormat.getSplits(jobConf, 0);
for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
splits.add(new HCatSplit(
partitionInfo,
split,allCols));
}
{code}
Each hcatSplit duplicates partition schema and table schema.
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