Snowpark Connect for Spark release notes for 2026¶

Fix config unset error for session configuration.

Use copy into to load CSV files in parallel.

Fix writes for DataFrames using outer joins.

Handle nulls in Scala UDFs.

Optimize CTE query generation with parameter protection.

Avoid casting arguments of DATEDIFF.

Fix appending partitioned files and reading of null partitions.

Make a 10X performance improvement for conversion between base 10 and 16 using SQL.

Overwrite only modified partitions for parquet files.

Updated logic to detect if Snowpark Connect for Spark is running on XP.

Support writing to a table with variant data type in Snowflake.

Remove unnecessary info logs.

Move Java tests out of Scala tests job to a separate job.

Update the dependency version for gcsfs.

Fix serializing Scala tuples.

Fix loading huge JSON files.

Implement small fixes for customer issues.

Implement fixes for struct comparisons.

Add handling for 0-column DataFrames.

Correct upload file path.

Fix Upload_files_if_needed not running in parallel.

Improve input type inference when UDF input types are not defined in the proto.

Fix NA edge cases.

Support reading single JSON BZ2 file.

Support Scala UDFs in server-side Snowpark Connect for Spark.

Implement cast between string and daytime.

Add support for Scala UDFs in group_map.

Reduce generated workload names.

Fixed JAVA_HOME handling for Windows.

Support neo4j data source via JDBC.