[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16568535#comment-16568535
]
Vihang Karajgaonkar commented on HIVE-19937:
HI [~stakiar] Sorry for the delay in responding. Can you please add a comment
mentioning that set method interns the duplicate strings, just before the
{{mapWork.setPathToPartitionInfo}} and {{partitionDesc.setBaseFileName}} in the
customer deserializer's read method so that its more obvious why we are calling
the set method. I feel it is easier to understand that way.
Rest looks good. Thanks for the patch. +1
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16567402#comment-16567402
]
Sahil Takiar commented on HIVE-19937:
-
Ping [~vihangk1]
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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(v7.6.3#76005)
[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16554477#comment-16554477
]
Sahil Takiar commented on HIVE-19937:
-
[~vihangk1] could you take a look?
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16553538#comment-16553538
]
Sahil Takiar commented on HIVE-19937:
-
Thanks Misha, yes I will keep this in mind. I don't think this part of the code
is CPU bound, so it shouldn't be an issue.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16553279#comment-16553279
]
Misha Dmitriev commented on HIVE-19937:
---
The last patch looks good to me.
The only slight concern that I got from looking at it once again is the
following: in one or two places you switched from passing around Strings to
passing around Paths, and subsequently switched some HashMap(s) to HashMap. Note that a lookup in a map where keys
are complex objects is slower, because Path.equals(Path) is slower than
String.equals(String) - it may involve comparison of many strings, etc. I
haven't seen any reports on Hive CPU performance problems, and I hope this code
is not on a critical path, and/or that GC-related savings would offset the
potential hashmap lookup slowdown... but anyway, I guess it's worth remembering
about this.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16552113#comment-16552113
]
Hive QA commented on HIVE-19937:
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12932601/HIVE-19937.5.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 14675 tests
executed
*Failed tests:*
{noformat}
TestMiniDruidCliDriver - did not produce a TEST-*.xml file (likely timed out)
(batchId=192)
[druidmini_dynamic_partition.q,druidmini_expressions.q,druidmini_test_alter.q,druidmini_test1.q,druidmini_test_insert.q]
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druid_timestamptz]
(batchId=193)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druidmini_joins]
(batchId=193)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druidmini_masking]
(batchId=193)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12780/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12780/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12780/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 4 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12932601 - PreCommit-HIVE-Build
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16552067#comment-16552067
]
Hive QA commented on HIVE-19937:
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
|| || || || {color:brown} master Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 8m
3s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
8s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
41s{color} | {color:green} master passed {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 4m
2s{color} | {color:blue} ql in master has 2280 extant Findbugs warnings.
{color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
59s{color} | {color:green} master passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
28s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} checkstyle {color} | {color:red} 0m
41s{color} | {color:red} ql: The patch generated 5 new + 298 unchanged - 4
fixed = 303 total (was 302) {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:red}-1{color} | {color:red} findbugs {color} | {color:red} 4m
18s{color} | {color:red} ql generated 3 new + 2279 unchanged - 1 fixed = 2282
total (was 2280) {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
56s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
12s{color} | {color:green} The patch does not generate ASF License warnings.
{color} |
| {color:black}{color} | {color:black} {color} | {color:black} 24m 1s{color} |
{color:black} {color} |
\\
\\
|| Reason || Tests ||
| FindBugs | module:ql |
| | Redundant nullcheck of nominal which is known to be null in
org.apache.hadoop.hive.ql.exec.AbstractMapOperator.getNominalPath(Path)
Redundant null check at AbstractMapOperator.java:is known to be null in
org.apache.hadoop.hive.ql.exec.AbstractMapOperator.getNominalPath(Path)
Redundant null check at AbstractMapOperator.java:[line 113] |
| | org.apache.hadoop.hive.ql.exec.SerializationUtilities$MapWorkSerializer
implements Comparator but not Serializable At
SerializationUtilities.java:Serializable At SerializationUtilities.java:[lines
551-562] |
| |
org.apache.hadoop.hive.ql.exec.SerializationUtilities$PartitionDescSerializer
implements Comparator but not Serializable At
SerializationUtilities.java:Serializable At SerializationUtilities.java:[lines
572-585] |
\\
\\
|| Subsystem || Report/Notes ||
| Optional Tests | asflicense javac javadoc findbugs checkstyle compile |
| uname | Linux hiveptest-server-upstream 3.16.0-4-amd64 #1 SMP Debian
3.16.36-1+deb8u1 (2016-09-03) x86_64 GNU/Linux |
| Build tool | maven |
| Personality |
/data/hiveptest/working/yetus_PreCommit-HIVE-Build-12780/dev-support/hive-personality.sh
|
| git revision | master / cce3a05 |
| Default Java | 1.8.0_111 |
| findbugs | v3.0.0 |
| checkstyle |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12780/yetus/diff-checkstyle-ql.txt
|
| findbugs |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12780/yetus/new-findbugs-ql.html
|
| modules | C: ql U: ql |
| Console output |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12780/yetus.txt |
| Powered by | Apache Yetushttp://yetus.apache.org |
This message was automatically generated.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, HIVE-19937.5.patch,
> post-patch-report.html, report.html
>
>
> When
[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16550341#comment-16550341
]
Hive QA commented on HIVE-19937:
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12932285/HIVE-19937.4.patch
{color:red}ERROR:{color} -1 due to build exiting with an error
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12721/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12721/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12721/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Tests exited with: Exception: Patch URL
https://issues.apache.org/jira/secure/attachment/12932285/HIVE-19937.4.patch
was found in seen patch url's cache and a test was probably run already on it.
Aborting...
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12932285 - PreCommit-HIVE-Build
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16550340#comment-16550340
]
Hive QA commented on HIVE-19937:
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12932285/HIVE-19937.4.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 14679 tests
executed
*Failed tests:*
{noformat}
org.apache.hive.minikdc.TestJdbcWithMiniKdc.testTokenAuth (batchId=263)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12720/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12720/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12720/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
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: 12932285 - PreCommit-HIVE-Build
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16550312#comment-16550312
]
Hive QA commented on HIVE-19937:
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
|| || || || {color:brown} master Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 8m
23s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
10s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
42s{color} | {color:green} master passed {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 4m
8s{color} | {color:blue} ql in master has 2281 extant Findbugs warnings.
{color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 1m
0s{color} | {color:green} master passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
31s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} checkstyle {color} | {color:red} 0m
43s{color} | {color:red} ql: The patch generated 5 new + 298 unchanged - 4
fixed = 303 total (was 302) {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:red}-1{color} | {color:red} findbugs {color} | {color:red} 4m
18s{color} | {color:red} ql generated 3 new + 2280 unchanged - 1 fixed = 2283
total (was 2281) {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
58s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
13s{color} | {color:green} The patch does not generate ASF License warnings.
{color} |
| {color:black}{color} | {color:black} {color} | {color:black} 24m 39s{color} |
{color:black} {color} |
\\
\\
|| Reason || Tests ||
| FindBugs | module:ql |
| | Redundant nullcheck of nominal which is known to be null in
org.apache.hadoop.hive.ql.exec.AbstractMapOperator.getNominalPath(Path)
Redundant null check at AbstractMapOperator.java:is known to be null in
org.apache.hadoop.hive.ql.exec.AbstractMapOperator.getNominalPath(Path)
Redundant null check at AbstractMapOperator.java:[line 113] |
| | org.apache.hadoop.hive.ql.exec.SerializationUtilities$MapWorkSerializer
implements Comparator but not Serializable At
SerializationUtilities.java:Serializable At SerializationUtilities.java:[lines
551-562] |
| |
org.apache.hadoop.hive.ql.exec.SerializationUtilities$PartitionDescSerializer
implements Comparator but not Serializable At
SerializationUtilities.java:Serializable At SerializationUtilities.java:[lines
572-585] |
\\
\\
|| Subsystem || Report/Notes ||
| Optional Tests | asflicense javac javadoc findbugs checkstyle compile |
| uname | Linux hiveptest-server-upstream 3.16.0-4-amd64 #1 SMP Debian
3.16.36-1+deb8u1 (2016-09-03) x86_64 GNU/Linux |
| Build tool | maven |
| Personality |
/data/hiveptest/working/yetus_PreCommit-HIVE-Build-12720/dev-support/hive-personality.sh
|
| git revision | master / 851c8ab |
| Default Java | 1.8.0_111 |
| findbugs | v3.0.0 |
| checkstyle |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12720/yetus/diff-checkstyle-ql.txt
|
| findbugs |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12720/yetus/new-findbugs-ql.html
|
| modules | C: ql U: ql |
| Console output |
http://104.198.109.242/logs//PreCommit-HIVE-Build-12720/yetus.txt |
| Powered by | Apache Yetushttp://yetus.apache.org |
This message was automatically generated.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we
[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16549768#comment-16549768
]
Misha Dmitriev commented on HIVE-19937:
---
+1
One small comment: instead of
{{this.baseFileName = baseFileName == null ? null : baseFileName.intern();}}
you can just use
{{this.baseFileName = StringUtils.internIfNotNull(baseFileName);}}
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, HIVE-19937.4.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16549704#comment-16549704
]
Sahil Takiar commented on HIVE-19937:
-
The overheads probably won't grow in proportion to the heap, but the goal is to
allow users to run Hive-on-Spark successfully even with low heap settings (e.g.
1g).
The overheads are more of a function of the workload. In this case, the
workload is TPC-DS (a standard SQL benchmarks). Hive users to run queries that
scan more partitions can expect the overheads to increase.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
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[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16549667#comment-16549667
]
Misha Dmitriev commented on HIVE-19937:
---
Thank you for publishing the updated jxray report, [~stakiar] Looks like things
work as expected. One small question/concern: I see that this test uses a
pretty small heap, less than 1GB. Is it expected that all the overheads that
you are fixing will grow proportionally with a bigger heap?
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
[jira] [Commented] (HIVE-19937) Intern fields in MapWork on deserialization
[
https://issues.apache.org/jira/browse/HIVE-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16549601#comment-16549601
]
Sahil Takiar commented on HIVE-19937:
-
Attached an jxray report after applying the patch on a cluster and running the
same test. When comparing the two reports, the overhead from fields in
{{MapWork}} is now gone. There is still a lot of overhead due to duplicate
entires in {{Properties}} objects, I need to fix that. I noticed there is a bit
of overhead in {{ProjectionPusher}} that I plan to fix in the next version of
this patch.
> Intern fields in MapWork on deserialization
> ---
>
> Key: HIVE-19937
> URL: https://issues.apache.org/jira/browse/HIVE-19937
> Project: Hive
> Issue Type: Improvement
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Sahil Takiar
>Priority: Major
> Attachments: HIVE-19937.1.patch, HIVE-19937.2.patch,
> HIVE-19937.3.patch, post-patch-report.html, report.html
>
>
> When fixing HIVE-16395, we decided that each new Spark task should clone the
> {{JobConf}} object to prevent any {{ConcurrentModificationException}} from
> being thrown. However, setting this variable comes at a cost of storing a
> duplicate {{JobConf}} object for each Spark task. These objects can take up a
> significant amount of memory, we should intern them so that Spark tasks
> running in the same JVM don't store duplicate copies.
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