JDBC Connection query row limit

[glevin]

Anyone know how to increase the amount of rows returned in a JDBC query? Currently we're receiving 1000 rows per query.

Have tried adding a LIMIT 5000 to the end of the query, but no luck.

[KaranamS]

Hi @glevin ,

By default the limit is set to 1000 rows for JDBC queries. You can try specifying the maxRows parameter in the JDBC url to 5000. Example below

jdbc:spark://<databricks-host>:443/default;httpPath=<http-path>;AuthMech=3;maxRows=5000;

Hope this helps!

[glevin]

Thanks for your response! I just tried your suggestion, but it's still returning 1000 rows.

Here's my full connection string:

jdbc:databricks://adb-xxxx.xx.azuredatabricks.net:443;httpPath=sql/protocolv1/o/xxxx/xxxx;AuthMech=11;Auth_Flow=1;OAuth2ClientId=xxxx;OAuth2Secret=xxxx;ConnCatalog=ndp_uat;ConnSchema=appian;EnableArrow=0;maxRows=5000;

[KaranamS]

Hi @glevin , No problem, we can try a different approach. Can you please try the fetchsize option as below?

jdbc:databricks://adb-xxxx.xx.azuredatabricks.net:443;httpPath=sql/protocolv1/o/xxxx/xxxx;AuthMech=11;Auth_Flow=1;OAuth2ClientId=xxxx;OAuth2Secret=xxxx;ConnCatalog=ndp_uat;ConnSchema=appian;EnableArrow=0;fetchsize=5000;

[glevin]

Just tried, same issue, still returns 1000 rows

[KaranamS]

@glevin , That is unfortunate. Here are few other options you could try

1. Please ensure you are using latest version of the JDBC driver

2. Try setting the fetch size before the query execution instead of the url as below

SET spark.databricks.jdbc.fetchsize = 5000;
SELECT * FROM my_table;

3. If you are open to using Rest API, it would help in getting all the records.

Reference links for API: https://docs.databricks.com/api/workspace/introduction

https://docs.databricks.com/api/workspace/statementexecution/executestatement

[SantoshJoshi]

Hi @glevin ,

Can I check what is your data source (Azure SQL, Oracle, MySQL etc.), may be the driver of your source is just picking the default fetch value?

Can you share your profiler output which shows, it's returning 1000 records not 5K as desired?