GitHub user salilsurendran opened a pull request:
https://github.com/apache/spark/pull/16664
[SPARK-18120 ][SQL] Call QueryExecutionListener callback methods for â¦
â¦DataFrameWriter methods
## What changes were proposed in this pull request?
QueryExecutionListener has two methods onSuccess() and onFailure() that
takes a QueryExecution object as a parameter that gets called when a query is
executed. It gets called for several of the DataSet methods like take, head,
first, collect etc. but doesn't get called for any of the DataFrameWriter
methods like saveAsTable, save etc. This commit fixes this issue and makes
calls to these two methods from DataFrameWriter output methods.
Also, added a new property "spark.sql.queryExecutionListeners" that can be
used to specify instances of QueryExecutionListeners that should be attached to
the SparkSession when the spark application starts up.
## How was this patch tested?
Testing was done using unit tests contained in two suites. The unit tests
can be executed by :
test-only *SparkSQLQueryExecutionListenerSuite
test-only *DataFrameCallbackSuite
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/salilsurendran/spark SPARK-18120
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16664.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #16664
----
commit 751ded07c7f4e8ab888b3174e3310f603b79ae68
Author: Salil Surendran <salilsurend...@cloudera.com>
Date: 2017-01-20T20:08:12Z
[SPARK-18120 ][SQL] Call QueryExecutionListener callback methods for
DataFrameWriter methods
QueryExecutionListener has two methods onSuccess() and onFailure() that
takes a QueryExecution object as a parameter that gets called when a query is
executed. It gets called for several of the DataSet methods like take, head,
first, collect etc. but doesn't get called for any of the DataFrameWriter
methods like saveAsTable, save etc. This commit fixes this issue and makes
calls to these two methods from DataFrameWriter output methods.
Also, added a new property "spark.sql.queryExecutionListeners" that can be
used to specify instances of QueryExecutionListeners that should be attached to
the SparkSession when the spark application starts up. Testing was done using
unit tests.
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