[jira] [Created] (SPARK-41070) Performance issue when Spark SQL connects with TeraData

["Ramakrishna (Jira)" <ji...@apache.org>]

Ramakrishna created SPARK-41070:
-----------------------------------

             Summary: Performance issue when Spark SQL connects with TeraData 
                 Key: SPARK-41070
                 URL: https://issues.apache.org/jira/browse/SPARK-41070
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.4.4
            Reporter: Ramakrishna


We are connecting Tera data from spark SQL with below API

Dataset<Row> jdbcDF = spark.read().jdbc(connectionUrl, tableQuery, connectionProperties);

 

We are facing one issue when we execute this logic on large table with million rows every time we are seeing below extra query is executing every times as this resulting performance hit on DB.

This below information we got from DBA. We dont have any logs on SPARK SQL.

SELECT 1 FROM ONE_MILLION_ROWS_TABLE;
|1|
|1|
|1|
|1|
|1|
|1|
|1|
|1|
|1|
|1|

 

Can you please clarify why this query is executing or is there any chance that this query is executing from our code it self while check for rows count from  dataframe.

 

Please provide me your inputs on this.

 



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