pyspark.sql.DataFrame.writeTo¶

DataFrame.writeTo(table: str) → pyspark.sql.readwriter.DataFrameWriterV2[source]¶

Create a write configuration builder for v2 sources.

This builder is used to configure and execute write operations.

For example, to append or create or replace existing tables.

New in version 3.1.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

tablestr: Target table name to write to.

Returns

DataFrameWriterV2: DataFrameWriterV2 to use further to specify how to save the data

Examples

>>> df = spark.createDataFrame(
...     [(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
>>> df.writeTo("catalog.db.table").append()  
>>> df.writeTo(                              
...     "catalog.db.table"
... ).partitionedBy("col").createOrReplace()

pyspark.sql.DataFrame.writeStream

pyspark.sql.DataFrame.pandas_api