Ramakrishna created SPARK-41170:
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Summary: CLONE - Performance issue when Spark SQL connects with
TeraData
Key: SPARK-41170
URL: https://issues.apache.org/jira/browse/SPARK-41170
Project: Spark
Issue Type: Question
Components: Spark Core, SQL
Affects Versions: 2.4.4
Reporter: Ramakrishna
We are connecting Tera data from spark SQL with below API
{color:#ff8b00}Dataset<Row> jdbcDF = spark.read().jdbc(connectionUrl,
tableQuery, connectionProperties);{color}
We are facing one issue when we execute above logic on large table with million
rows every time we are seeing below extra query is executing every time 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 type of 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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