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can we please add this info to sw docs .
ref - https://support.h2o.ai/helpdesk/tickets/91640 from [~accountid:557058:389d9607-5bd8-4611-8c6a-755fe9295223]
{code:java} We offload logs into temporary space of hadoop job defined by spark.yarn.app.container.log.dir.
spark.yarn.app.container.log.dir
Furthermore, You can control log level via following Sparkling water properties:
spark.ext.h2o.node.log.level
spark.ext.h2o.client.log.level
ERROR
Furthermore, You need to control log level of spark as well via $SPARK_HOME/conf/log4j.properties regaring log4j.properties, for example -
$SPARK_HOME/conf/log4j.properties
log4j.rootCategory=ERROR, console {code}
The text was updated successfully, but these errors were encountered:
Angela Bartz commented: Note that some of this is already documented:
{code} Furthermore, You can control log level via following Sparkling water properties:
{code} Furthermore, You need to control log level of spark as well via $SPARK_HOME/conf/log4j.properties regaring log4j.properties, for example -
log4j.rootCategory=ERROR, console {code} See: https://github.com/h2oai/sparkling-water/blob/master/doc/tutorials/change_log_level.rst
When the SW help system is completed, then this information might be easier for users to navigate.
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JIRA Issue Migration Info
Jira Issue: SW-678 Assignee: Jakub Hava Reporter: Nidhi Mehta State: Resolved Fix Version: 2.0.23 Attachments: N/A Development PRs: Available
Linked PRs from JIRA
#545
JIRA Issue Migration Info Cont'd
Jira Issue Created Date: 2018-01-16T11:41:48.333-0800
jakubhava
No branches or pull requests
can we please add this info to sw docs .
ref - https://support.h2o.ai/helpdesk/tickets/91640
from [~accountid:557058:389d9607-5bd8-4611-8c6a-755fe9295223]
{code:java}
We offload logs into temporary space of hadoop job defined by
spark.yarn.app.container.log.dir
.Furthermore, You can control log level via following Sparkling water properties:
spark.ext.h2o.node.log.level
(executor log level)spark.ext.h2o.client.log.level
(client log level)So you can setup these properties to
ERROR
level to avoid printing too many messages into logs.Furthermore, You need to control log level of spark as well
via
$SPARK_HOME/conf/log4j.properties
regaring log4j.properties, for example -
Set everything to be logged to the console
log4j.rootCategory=ERROR, console
{code}
The text was updated successfully, but these errors were encountered: