2025 年 Snowpark Connect for Spark 版本说明¶
Snowflake 对 Snowpark Connect for Spark 更新使用语义版本控制。
For documentation, see Run Apache Spark™ workloads on Snowflake with Snowpark Connect for Spark and 使用 Snowpark Submit 运行 Spark 批处理工作负载.
Version 1.2.0 (November 17, 2025)¶
Snowpark Connect for Spark¶
新功能¶
Relax version requirements for grpcio and aiobotocore.
改进¶
Specify dependencies version in
meta.yaml.Build compiled and architecture-specific conda package.
Ensure all
CloudPickleSerializer.loadsare not done in TCM.Include OSS SQL tests that start with the WITH clause.
Do not upload Spark jars when running the server for pyt.
Update internal queries count.
错误修复¶
Fix tests for tcm.
Fix CSV column name discrepancy from Spark.
Use type cache for empty frames.
Resolve Windows OSS runner general issues.
Snowpark Submit¶
改进¶
Generate unique workload names.
Bug Fixes¶
Fix staged file reading.
Version 1.0.1 (November 3, 2025)¶
备注
With the release of this version, version 0.24 and previous versions are deprecated.
Snowpark Connect for Spark¶
新功能¶
Add parameter for view creation strategies.
Support string <-> year month interval.
Support multiple pivot columns and aliases for pivot values in Spark SQL.
Integrate OpenTelemetry span and traces.
改进¶
无。
错误修复¶
Add a trailing slash for remove command.
Invalid GROUP BY issue with aggregation function and nilary functions.
Notebook exceeds gRPC maximum message size.
Fix temporary view creation with colliding names.
array_sizewith null argument.Fix for
$.0JSON array access inget_json_objectfunction.Fix self ANTI and SEMI LEFT joins.
Handle different types in SQL function range.
Fixed temporary view describe.
Version 1.0.0 (October 28, 2025)¶
Snowpark Connect for Spark¶
新功能¶
Add
rowToInferSchemafor CSV reading.Support INSERT INTO with CTE SQL command.
I/O changes to add _SUCCESS file generation and metadata file filtering.
update(submit): Support installing Snowpark Connect for Spark in the Snowpark Submit client container.
改进¶
无。
错误修复¶
Fix _SUCCESS path update.
Throw error on remove failure update.
Sequence function supporting integral types inputs.
Fix types in empty
CreateTempViewUsing.Fix Parquet file repartitioning on write.
Resolve aliases in ORDER BY clause correctly.
Remove scope temp session parameter.
Fixed multiple self joins with join condition.
Fix column name resolution in pivot.
SQL parser aware of session timezone.
Interval type coercion with other types.
Fix having with nested CTEs.
Improve qualified name resolution in Spark.
Version 0.33.0 (October 10, 2025)¶
Snowpark Connect for Spark¶
新功能¶
Add script to run on the output from Git action for merging SQLs.
Add
--rebuild-whlparameter to notebook test runner.Add support for both qualifiers after join.
改进¶
无。
错误修复¶
Support escape parameter in SQL LIKE commands.
Overwrite bug in partitions.
Validate column count on INSERT.
Incompatibility for pow with NAN.
Cross JOIN with condition.
Column attribution logic in nested queries.
Update error message for interval test.
String type coercion in set operation UNION and EXCEPT, coerce NUMERIC, DATE, DATETIME to STRING.
Correctly resolve Snowpark columns after a full outer self JOIN.
Expression in aggregate function might be zero improvement.
Update: Revert "[SCOS GA BUG] string type coercion in set opera"
DataFrame union of decimal type columns now widen as necessary.
String type coercion in set operation UNION and EXCEPT, coerce NUMERIC, DATE, DATETIME to STRING (part1).
Object not existed issue in TCM.
Fix
to_binary(x, 'hex')wherexhas odd number of letters and digits.Fix joins with empty tables.
Fix HAVING clause to prioritize grouping columns over aggregate aliases with same name.
版本 0.32.0(2025 年 10 月 17 日)¶
Snowpark Connect for Spark¶
新功能¶
对
RepairTable的支持。将
jdk4py设为 Snowpark Connect for Spark 的可选依赖项,以简化最终用户的 Java home 配置。支持更多间隔类型案例。
改进¶
无。
错误修复¶
通过重构限定符来修复
Join问题修复了
percentile_cont,允许筛选和排序顺序表达式。修复了
histogram_numericUDAF。修复了使用多个参数调用
COUNT函数时的问题。
版本 0.31.0(2025 年 10 月 9 日)¶
Snowpark Connect for Spark¶
新功能¶
当明确选择 GROUP BY 子句时,在该子句中添加了对表达式的支持。
在错误消息中添加了错误代码,以更好地进行故障排除。
改进¶
无。
错误修复¶
修复了窗口函数不支持的类型转换问题。