[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sahil Takiar updated HIVE-20512:
Resolution: Fixed
Fix Version/s: 4.0.0
Status: Resolved (was: Patch Available)
Pushed to master.
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Fix For: 4.0.0
>
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch,
> HIVE-20512.9.patch, HIVE-20512.91.patch, HIVE-20512.92.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.92.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch,
> HIVE-20512.9.patch, HIVE-20512.91.patch, HIVE-20512.92.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.91.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch,
> HIVE-20512.9.patch, HIVE-20512.91.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: (was: HIVE-20512.10.patch)
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch, HIVE-20512.9.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.10.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.10.patch,
> HIVE-20512.2.patch, HIVE-20512.3.patch, HIVE-20512.4.patch,
> HIVE-20512.5.patch, HIVE-20512.6.patch, HIVE-20512.7.patch,
> HIVE-20512.8.patch, HIVE-20512.9.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: (was: HIVE-20512.9.patch)
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch, HIVE-20512.9.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.9.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch, HIVE-20512.9.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.9.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch, HIVE-20512.9.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.8.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch, HIVE-20512.8.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.7.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch,
> HIVE-20512.6.patch, HIVE-20512.7.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: (was: HIVE-20512.6.patch)
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch, HIVE-20512.6.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.6.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch, HIVE-20512.6.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.6.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch, HIVE-20512.6.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.5.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch, HIVE-20512.5.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.4.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: (was: HIVE-20512.4.patch)
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.4.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch, HIVE-20512.4.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.3.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch,
> HIVE-20512.3.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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(v7.6.3#76005)
[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.2.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch, HIVE-20512.2.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.1.patch
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: (was: HIVE-20512.1.patch)
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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(v7.6.3#76005)
[jira] [Updated] (HIVE-20512) Improve record and memory usage logging in SparkRecordHandler
[
https://issues.apache.org/jira/browse/HIVE-20512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bharathkrishna Guruvayoor Murali updated HIVE-20512:
Attachment: HIVE-20512.1.patch
Status: Patch Available (was: Open)
[~stakiar] Can you please check the attached patch if this approach looks good.
I tried adding unit tests, but not sure if it is needed, as I should parse the
log in a hard-coded way to check the String "processed " + rowNumber + " rows:
used memory ="
and probably sleep() till the threshold to check if logs are printed again.
What do you suggest?
> Improve record and memory usage logging in SparkRecordHandler
> -
>
> Key: HIVE-20512
> URL: https://issues.apache.org/jira/browse/HIVE-20512
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
>Reporter: Sahil Takiar
>Assignee: Bharathkrishna Guruvayoor Murali
>Priority: Major
> Attachments: HIVE-20512.1.patch
>
>
> We currently log memory usage and # of records processed in Spark tasks, but
> we should improve the methodology for how frequently we log this info.
> Currently we use the following code:
> {code:java}
> private long getNextLogThreshold(long currentThreshold) {
> // A very simple counter to keep track of number of rows processed by the
> // reducer. It dumps
> // every 1 million times, and quickly before that
> if (currentThreshold >= 100) {
> return currentThreshold + 100;
> }
> return 10 * currentThreshold;
> }
> {code}
> The issue is that after a while, the increase by 10x factor means that you
> have to process a huge # of records before this gets triggered.
> A better approach would be to log this info at a given interval. This would
> help in debugging tasks that are seemingly hung.
--
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