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Posted to issues@spark.apache.org by "Liang Zhang (Jira)" <ji...@apache.org> on 2021/09/01 15:57:00 UTC
[jira] [Created] (SPARK-36642) Add df.withMetadata: a syntax suger
to update the metadata of a dataframe
Liang Zhang created SPARK-36642:
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Summary: Add df.withMetadata: a syntax suger to update the metadata of a dataframe
Key: SPARK-36642
URL: https://issues.apache.org/jira/browse/SPARK-36642
Project: Spark
Issue Type: Story
Components: SQL
Affects Versions: 3.3.0
Reporter: Liang Zhang
To make it easy to use/modify the semantic annotation, we want to have a shorter API to update the metadata in a dataframe.
Currently we have
{code:scala}
df.withColumn("col1", col("col1").alias("col1", metadata=metadata))
{code}
to update the metadata without changing the column name, and this is too verbose. We want to have a syntax suger API
{code:scala}
df.withMetadata("col1", metadata=metadata)
{code}
to achieve the same functionality.
A bit of background for the frequency of the metadata update: We are working on inferring the semantic data types and use them in AutoML and store the semantic annotation in the metadata. So in many cases, we will suggest the user update the metadata to correct the wrong inference or manually add the annotation for weak inference.
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