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https://issues.apache.org/jira/browse/HIVE-29451?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
László Bodor updated HIVE-29451:
--------------------------------
Description:
https://github.com/apache/hive/blob/98da62c93f198126c78d3352bf3ac6aeacefa53c/ql/src/java/org/apache/hadoop/hive/ql/plan/MapWork.java#L662
so, this below is executed for every single partition repeatedly, where this
logic has no chance to distinguish between the partitions
https://github.com/apache/hive/blob/98da62c93f198126c78d3352bf3ac6aeacefa53c/ql/src/java/org/apache/hadoop/hive/ql/plan/PlanUtils.java#L912-L930
{code}
public static void configureJobConf(TableDesc tableDesc, JobConf jobConf) {
try {
HiveStorageHandler storageHandler = HiveUtils.getStorageHandler(
jobConf,
tableDesc.getProperties().getProperty(hive_metastoreConstants.META_TABLE_STORAGE));
if (storageHandler != null) {
storageHandler.configureJobConf(tableDesc, jobConf);
}
if (tableDesc.getJobSecrets() != null) {
for (Map.Entry<String, String> entry :
tableDesc.getJobSecrets().entrySet()) {
String key = TableDesc.SECRET_PREFIX + TableDesc.SECRET_DELIMIT +
tableDesc.getTableName() + TableDesc.SECRET_DELIMIT +
entry.getKey();
jobConf.getCredentials().addSecretKey(new Text(key),
entry.getValue().getBytes());
}
tableDesc.getJobSecrets().clear();
}
} catch (HiveException e) {
throw new RuntimeException(e);
}
}
{code}
configure a job reading hundreds of partitions
we need to collect distinct tables affected by the mapwork and run this logic
once per TableDesc
> PlanUtils.configureJobConf is called with a table-level logic for every
> single partition
> ----------------------------------------------------------------------------------------
>
> Key: HIVE-29451
> URL: https://issues.apache.org/jira/browse/HIVE-29451
> Project: Hive
> Issue Type: Improvement
> Reporter: László Bodor
> Priority: Major
>
> https://github.com/apache/hive/blob/98da62c93f198126c78d3352bf3ac6aeacefa53c/ql/src/java/org/apache/hadoop/hive/ql/plan/MapWork.java#L662
> so, this below is executed for every single partition repeatedly, where this
> logic has no chance to distinguish between the partitions
> https://github.com/apache/hive/blob/98da62c93f198126c78d3352bf3ac6aeacefa53c/ql/src/java/org/apache/hadoop/hive/ql/plan/PlanUtils.java#L912-L930
> {code}
> public static void configureJobConf(TableDesc tableDesc, JobConf jobConf) {
> try {
> HiveStorageHandler storageHandler = HiveUtils.getStorageHandler(
> jobConf,
> tableDesc.getProperties().getProperty(hive_metastoreConstants.META_TABLE_STORAGE));
> if (storageHandler != null) {
> storageHandler.configureJobConf(tableDesc, jobConf);
> }
> if (tableDesc.getJobSecrets() != null) {
> for (Map.Entry<String, String> entry :
> tableDesc.getJobSecrets().entrySet()) {
> String key = TableDesc.SECRET_PREFIX + TableDesc.SECRET_DELIMIT +
> tableDesc.getTableName() + TableDesc.SECRET_DELIMIT +
> entry.getKey();
> jobConf.getCredentials().addSecretKey(new Text(key),
> entry.getValue().getBytes());
> }
> tableDesc.getJobSecrets().clear();
> }
> } catch (HiveException e) {
> throw new RuntimeException(e);
> }
> }
> {code}
> configure a job reading hundreds of partitions
> we need to collect distinct tables affected by the mapwork and run this logic
> once per TableDesc
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