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https://issues.apache.org/jira/browse/SPARK-7393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-7393.
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Resolution: Invalid
Hi - thanks for giving feedback on your use of Spark SQL. This type of
discussions should take place on the mailing list rather than our feature issue
tracker.
> How to improve Spark SQL performance?
> -------------------------------------
>
> Key: SPARK-7393
> URL: https://issues.apache.org/jira/browse/SPARK-7393
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Liang Lee
>
> We want to use Spark SQL in our project ,but we found that the Spark SQL
> performance is not very well as we expected. The detail is as follows:
> 1. We save data as parquet file on HDFS.
> 2.We just select one or several rows from the parquet file using spark SQL.
> 3. When the total record number is 61 million, it needs about 3 seconds to
> get the result, which is unacceptable long for our scenario.
> 4.When the total record number is 2 million, it needs about 93 ms to get the
> result, whcih is still a little long for us.
> 5. The query statement is like : SELECT * FROM DBA WHERE COLA=? AND COLB=?
> And the table is not complex, which has less 10 columns and the content for
> each column is less than 100 bytes.
> 6. Does any one know how to improve the performance or give some other ideas?
> 7. Can Spark SQL support micro-second-level response?
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