[jira] [Updated] (DRILL-6126) Allocate memory for value vectors upfront in flatten operator
[ https://issues.apache.org/jira/browse/DRILL-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pritesh Maker updated DRILL-6126: - Fix Version/s: (was: 1.12.0) 1.13.0 > Allocate memory for value vectors upfront in flatten operator > - > > Key: DRILL-6126 > URL: https://issues.apache.org/jira/browse/DRILL-6126 > Project: Apache Drill > Issue Type: Improvement >Reporter: Padma Penumarthy >Assignee: Padma Penumarthy >Priority: Critical > Labels: ready-to-commit > Fix For: 1.13.0 > > > With recent changes to control batch size for flatten operator, we figure out > row count in the output batch based on memory. Since we know how many rows we > are going to include in the batch, we can also allocate the memory needed > upfront instead of starting with initial value (4096) and doubling, copying > every time we need more. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (DRILL-6126) Allocate memory for value vectors upfront in flatten operator
[ https://issues.apache.org/jira/browse/DRILL-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Padma Penumarthy updated DRILL-6126: Labels: ready-to-commit (was: ) > Allocate memory for value vectors upfront in flatten operator > - > > Key: DRILL-6126 > URL: https://issues.apache.org/jira/browse/DRILL-6126 > Project: Apache Drill > Issue Type: Improvement >Reporter: Padma Penumarthy >Assignee: Padma Penumarthy >Priority: Critical > Labels: ready-to-commit > Fix For: 1.12.0 > > > With recent changes to control batch size for flatten operator, we figure out > row count in the output batch based on memory. Since we know how many rows we > are going to include in the batch, we can also allocate the memory needed > upfront instead of starting with initial value (4096) and doubling, copying > every time we need more. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (DRILL-6126) Allocate memory for value vectors upfront in flatten operator
[ https://issues.apache.org/jira/browse/DRILL-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pritesh Maker updated DRILL-6126: - Reviewer: Paul Rogers (was: Paul Rogers) > Allocate memory for value vectors upfront in flatten operator > - > > Key: DRILL-6126 > URL: https://issues.apache.org/jira/browse/DRILL-6126 > Project: Apache Drill > Issue Type: Improvement >Reporter: Padma Penumarthy >Assignee: Padma Penumarthy >Priority: Critical > Fix For: 1.12.0 > > > With recent changes to control batch size for flatten operator, we figure out > row count in the output batch based on memory. Since we know how many rows we > are going to include in the batch, we can also allocate the memory needed > upfront instead of starting with initial value (4096) and doubling, copying > every time we need more. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (DRILL-6126) Allocate memory for value vectors upfront in flatten operator
[ https://issues.apache.org/jira/browse/DRILL-6126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Pritesh Maker updated DRILL-6126: - Reviewer: Paul Rogers > Allocate memory for value vectors upfront in flatten operator > - > > Key: DRILL-6126 > URL: https://issues.apache.org/jira/browse/DRILL-6126 > Project: Apache Drill > Issue Type: Improvement >Reporter: Padma Penumarthy >Assignee: Padma Penumarthy >Priority: Critical > Fix For: 1.12.0 > > > With recent changes to control batch size for flatten operator, we figure out > row count in the output batch based on memory. Since we know how many rows we > are going to include in the batch, we can also allocate the memory needed > upfront instead of starting with initial value (4096) and doubling, copying > every time we need more. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
