79541009

Date: 2025-03-28 09:24:53
Score: 2
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Using DataFrameWriterV2, this is possible:

spark.range(10).withColumn("tmp", lit("hi")).writeTo("test.sample").using("iceberg").tableProperty("write.spark.accept-any-schema", "true").createOrReplace()
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Posted by: tru