Re: Spark JDBC Netsuite error - SQLSyntaxErrorExc...

mark_ott · ‎10-08-2025

If you are on a Spark version that supports .option("query", ...), you can do:

python

df = spark.read \
    .format("jdbc") \
    .option("url", jdbc_url) \
    .option("query", "SELECT TOP 10 * FROM Customer") \
    .option("user", "xxxx") \
    .option("password", "xxx") \
    .option("driver", "com.netsuite.jdbc.openaccess.OpenAccessDriver") \
    .load()
display(df)

But note that some JDBC drivers, including NetSuite, may have restrictions, so review your Spark and JDBC connector documentation and test with preliminary table queries first.

Troubleshooting Common Issues

Jar File Location: Confirm the .jar is on all Spark worker nodes and that the cluster recognizes the com.netsuite.jdbc.openaccess.OpenAccessDriver class.
NetSuite Permissions: Double-check that the user/role (AccountID, RoleID) has correct access rights to view the "Customer" table.
Port and Endpoint: Ensure firewall/network settings allow traffic to the required NetSuite JDBC endpoint and port.
Driver Class: Confirm the driver class is spelled correctly and matches your .jar file.
Error Messages: Carefully check any exception traceback for specific hints; common errors include authentication failures, missing drivers, or SQL syntax not supported by NetSuite JDBC.

Recommendations

Start with .option("dbtable", "Customer") for a basic read.
Gradually introduce more complex queries if .option("query", ...) is supported.
Review NetSuite JDBC and Spark documentation for compatibility notes.

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