Amazon EMR 6.7.0 - Hive release notes
Amazon EMR 6.7.0 - Hive changes
Type | Description |
---|---|
Feature | Amazon EMR Hive integration with
LakeFormation |
Feature | Additional audit logging for Hive EMRFS Amazon S3 optimized
committer. Hive config:
hive.blobstore.output-committer.logging ,
default: false |
Feature | Deleted target directory on insert overwrite with empty
select result to an unpartitioned table/static partition to
behave similarly to Hive 2.x. Hive config:
hive.emr.iow.clean.target.dir , default:
false |
Bug | Fixed intermittent query failure when using Hive EMRFS Amazon S3 optimized committer with partition bucket sorting. |
Upgrade | Hive version upgraded to 3.1.3. Refer to Apache Hive 3.1.3 release notes |
Upgrade | Upgraded Parquet to 1.12.2 |
Backport | HIVE-20065 |
Backport | HIVE-20071 |
Backport | HIVE-20607 |
Backport | HIVE-20740 |
Backport | HIVE-20961 |
Backport | HIVE-22059 |
Backport | HIVE-22351 |
Backport | HIVE-23534 |
Backport | HIVE-24048 |
Backport | HIVE-24768 |
Backport | HIVE-24816 |
Backport | HIVE-25971 |
Backport | HIVE-26036 |
Amazon EMR 6.7.0 - Hive known issues
-
Queries with windowing functions on the same column as join may lead to invalid transformations as reported in HIVE-25278
and cause incorrect results or query failures. A workaround would be to disable CBO at the query level for such queries. The fix will be available in an Amazon EMR release following 6.7.0. For more information, contact Amazon support. With Amazon EMR 6.6.0 through 6.9.x, INSERT queries with dynamic partition and an ORDER BY or SORT BY clause will always have two reducers. This issue is caused by OSS change HIVE-20703
, which puts dynamic sort partition optimization under cost-based decision. If your workload doesn't require sorting of dynamic partitions, we recommend that you set the hive.optimize.sort.dynamic.partition.threshold
property to-1
to disable the new feature and get the correctly calculated number of reducers. This issue is fixed in OSS Hive as part of HIVE-22269and is fixed in Amazon EMR 6.10.0.