Jason Guo created SPARK-25038:
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Summary: Accelerate Spark Plan generation when Spark SQL read
large amount of data
Key: SPARK-25038
URL: https://issues.apache.org/jira/browse/SPARK-25038
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.3.1
Reporter: Jason Guo
When Spark SQL read large amount of data, it take a long time (more than 10
minutes) to generate physical Plan and then ActiveJob
Example:
There is a table which is partitioned by date and hour. There are more than 13
TB data each hour and 185 TB per day. When we just issue a very simple SQL, it
take a long time to generate ActiveJob
The SQL statement is
{code:java}
select count(device_id) from test_tbl where date=20180731 and hour='21';
{code}
The SQL is issued at 2018-08-05 18:33:21
!image-2018-08-07-08-38-01-984.png!
However, the job is submitted at 2018-08-05 18:34:45, which is 1minutes and 24
seconds later than the SQL issue time
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