[Spark] Allows data with missing columns to be written when enable 'merge-schema' #5059
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Zouxxyy
reviewed
Feb 12, 2025
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| // For case that some columns is absent in data, we still allow to write once write.merge-schema is true. | ||
| val newTableSchema = SparkTypeUtils.fromPaimonRowType(table.schema().logicalRowType()) | ||
| if (!schemaEqualsIgnoreNullability(newTableSchema, data.schema)) { |
Zouxxyy
reviewed
Feb 12, 2025
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| // For case that some columns is absent in data, we still allow to write once write.merge-schema is true. | ||
| val newTableSchema = SparkTypeUtils.fromPaimonRowType(table.schema().logicalRowType()) | ||
| if (!schemaEqualsIgnoreNullability(newTableSchema, data.schema)) { |
There was a problem hiding this comment.
Maybe can refer to spark DataType.sameType or DataType.equalsIgnoreNullability
JackeyLee007
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to JackeyLee007/paimon
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Feb 14, 2025
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Purpose
Linked issue: close #xxx
Tests
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