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Posted to commits@spark.apache.org by gu...@apache.org on 2025/07/22 06:50:27 UTC
(spark) branch master updated: [SPARK-52852][SDP] Remove unused spark_conf in create_streaming_table
This is an automated email from the ASF dual-hosted git repository.
gurwls223 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new a2a9d4092e00 [SPARK-52852][SDP] Remove unused spark_conf in create_streaming_table
a2a9d4092e00 is described below
commit a2a9d4092e00b6733da1bda2b90822ba3a7771c6
Author: Jacky Wang <ja...@databricks.com>
AuthorDate: Tue Jul 22 15:50:16 2025 +0900
[SPARK-52852][SDP] Remove unused spark_conf in create_streaming_table
### What changes were proposed in this pull request?
Remove the `spark_conf` from `create_streaming_table`
### Why are the changes needed?
The `spark_conf` argument on `create_streaming_table` is unused. Configuration can be provided on the individual flows that target a streaming table created this way.
### Does this PR introduce _any_ user-facing change?
Yes, an API arg is removed but on an unreleased API.
### How was this patch tested?
Existing tests
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #51607 from JiaqiWang18/SPARK-52852-remove-spark_conf.
Authored-by: Jacky Wang <ja...@databricks.com>
Signed-off-by: Hyukjin Kwon <gu...@apache.org>
---
python/pyspark/pipelines/api.py | 4 ----
1 file changed, 4 deletions(-)
diff --git a/python/pyspark/pipelines/api.py b/python/pyspark/pipelines/api.py
index 64fb279b8d6c..35beff19c981 100644
--- a/python/pyspark/pipelines/api.py
+++ b/python/pyspark/pipelines/api.py
@@ -400,7 +400,6 @@ def create_streaming_table(
name: str,
*,
comment: Optional[str] = None,
- spark_conf: Optional[Dict[str, str]] = None,
table_properties: Optional[Dict[str, str]] = None,
partition_cols: Optional[List[str]] = None,
schema: Optional[Union[StructType, str]] = None,
@@ -414,9 +413,6 @@ def create_streaming_table(
:param name: The name of the table.
:param comment: Description of the table.
- :param spark_conf: A dict whose keys are the conf names and values are the conf values. \
- These confs will be set when the query for the dataset is executed and they can override \
- confs set for the pipeline or on the cluster.
:param table_properties: A dict where the keys are the property names and the values are the \
property values. These properties will be set on the table.
:param partition_cols: A list containing the column names of the partition columns.
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