[jira] [Created] (HIVE-25078) [cachedstore]
Ashish Sharma created HIVE-25078: Summary: [cachedstore] Key: HIVE-25078 URL: https://issues.apache.org/jira/browse/HIVE-25078 Project: Hive Issue Type: Sub-task Components: Standalone Metastore Affects Versions: 4.0.0 Reporter: Ashish Sharma Assignee: Ashish Sharma Description Add Table id check in following while extracting (i.e. get call) cached table from cached store 1. Table 2. Partitions 3. Constrains -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25080) Create metric about oldest entry in "ready for cleaning" state
Antal Sinkovits created HIVE-25080: -- Summary: Create metric about oldest entry in "ready for cleaning" state Key: HIVE-25080 URL: https://issues.apache.org/jira/browse/HIVE-25080 Project: Hive Issue Type: Bug Reporter: Antal Sinkovits Assignee: Antal Sinkovits When a compaction txn commits, COMPACTION_QUEUE.CQ_COMMIT_TIME is updated with the current time. Then the compaction state is set to "ready for cleaning". (... and then the Cleaner runs and the state is set to "succeeded" hopefully) Based on this we know (roughly) how long a compaction has been in state "ready for cleaning". We should create a metric similar to compaction_oldest_enqueue_age_in_sec that would show that the cleaner is blocked by something i.e. find the compaction in "ready for cleaning" that has the oldest commit time. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25079) Create new metric about number of writes to tables with manually disabled compaction
Antal Sinkovits created HIVE-25079: -- Summary: Create new metric about number of writes to tables with manually disabled compaction Key: HIVE-25079 URL: https://issues.apache.org/jira/browse/HIVE-25079 Project: Hive Issue Type: Bug Reporter: Antal Sinkovits Assignee: Antal Sinkovits Create a new metric that measures the number of writes tables that has compaction turned off manually. It does not matter if the write is committed or aborted (both are bad...) -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25081) Put metrics collection behind a feature flag
Antal Sinkovits created HIVE-25081: -- Summary: Put metrics collection behind a feature flag Key: HIVE-25081 URL: https://issues.apache.org/jira/browse/HIVE-25081 Project: Hive Issue Type: Bug Reporter: Antal Sinkovits Assignee: Antal Sinkovits Most metrics we're creating are collected in AcidMetricsService, which is behind a feature flag. However there are some metrics that are collected outside of the service. These should be behind a feature flag in addition to hive.metastore.metrics.enabled. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25082) Make SettableTreeReader updateTimezone a default method
Panagiotis Garefalakis created HIVE-25082: - Summary: Make SettableTreeReader updateTimezone a default method Key: HIVE-25082 URL: https://issues.apache.org/jira/browse/HIVE-25082 Project: Hive Issue Type: Improvement Reporter: Panagiotis Garefalakis Assignee: Panagiotis Garefalakis Avoid useless TimestampStreamReader instance checks by making updateTimezone() a default method in SettableTreeReader -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25083) Extra reviewer pattern
Panagiotis Garefalakis created HIVE-25083: - Summary: Extra reviewer pattern Key: HIVE-25083 URL: https://issues.apache.org/jira/browse/HIVE-25083 Project: Hive Issue Type: Sub-task Reporter: Panagiotis Garefalakis Assignee: Panagiotis Garefalakis -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (HIVE-25084) Incorrect aggregate results on bucketed table
Naresh P R created HIVE-25084:
-
Summary: Incorrect aggregate results on bucketed table
Key: HIVE-25084
URL: https://issues.apache.org/jira/browse/HIVE-25084
Project: Hive
Issue Type: Bug
Reporter: Naresh P R
Steps to repro
{code:java}
CREATE TABLE test_table(
col1 int,
col2 char(32),
col3 varchar(3))
CLUSTERED BY (col2)
SORTED BY (
col2 ASC,
col3 ASC,
col1 ASC)
INTO 32 BUCKETS stored as orc;
set hive.query.results.cache.enabled=false;
insert into test_table values(2, "123456", "15");
insert into test_table values(1, "123456", "15");
SELECT col2, col3, max(col1) AS max_sequence FROM test_table GROUP BY col2,
col3;
==> LocalFetch correct result <==
123456 15 2
==> Wrong result with Tez/Llap <==
set hive.fetch.task.conversion=none;
123456 15 2
123456 15 1
==> Correct result with Tez/Llap disabling map aggregation <==
set hive.map.aggr=false;
123456 15 2
{code}
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