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https://issues.apache.org/jira/browse/BAHIR-97?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15949975#comment-15949975
 ] 

ASF GitHub Bot commented on BAHIR-97:
-------------------------------------

Github user ckadner commented on the issue:

    https://github.com/apache/bahir/pull/38
  
    @sbcd90 -- your test cases ran fine, just with a lot of "noise".
    
    http://169.45.79.58:8080/job/bahir_spark_pr_builder/38/consoleFull
    ```
    00:27:23 [INFO] --- scalatest-maven-plugin:1.0:test (test) @ 
spark-sql-streaming-akka_2.11 ---
    ...
    00:27:24 Discovery starting.
    00:27:24 log4j:ERROR Could not read configuration file from URL 
[file:src/test/resources/log4j.properties].
    00:27:24 java.io.FileNotFoundException: src/test/resources/log4j.properties 
(No such file or directory)
    ...
    00:27:24 log4j:ERROR Ignoring configuration file 
[file:src/test/resources/log4j.properties].
    ...
    00:27:24 Discovery completed in 698 milliseconds.
    00:27:24 Run starting. Expected test count is: 5
    00:27:24 StressTestAkkaSource:
    00:27:24 Using Spark's default log4j profile: 
org/apache/spark/log4j-defaults.properties
    ...
    00:28:23 Run completed in 59 seconds, 534 milliseconds.
    00:28:23 Total number of tests run: 5
    00:28:23 Suites: completed 4, aborted 0
    00:28:23 Tests: succeeded 5, failed 0, canceled 0, ignored 0, pending 0
    00:28:23 All tests passed.
    ```
    
    Could you add a `log4.j.properties` file in the test source folder to 
reduce the log verbosity?


> Akka as a streaming source for SQL Streaming.
> ---------------------------------------------
>
>                 Key: BAHIR-97
>                 URL: https://issues.apache.org/jira/browse/BAHIR-97
>             Project: Bahir
>          Issue Type: New Feature
>          Components: Spark SQL Data Sources
>    Affects Versions: Spark-2.1.0
>            Reporter: Subhobrata Dey
>
> Hello,
> This issue is created to propose the addition of Akka compatible streaming 
> source for Spark SQL Streaming.



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