fix: Support partition values in feature branch comet-parquet-exec#1106
fix: Support partition values in feature branch comet-parquet-exec#1106viirya merged 5 commits intoapache:comet-parquet-execfrom
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viirya
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| val dataSchemaParquet = | ||
| new SparkToParquetSchemaConverter(conf).convert(scan.relation.dataSchema) | ||
| val partitionSchemaParquet = | ||
| new SparkToParquetSchemaConverter(conf).convert(scan.relation.partitionSchema) |
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#1103 discusses how the schemas have already lost necessary information at this point. Should we construct a new partition schema from the true Parquet schema rather than the partitionSchema that may have lost/converted type information already?
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This copies from existing code.
Actually, I can just convert the Spark schema to Arrow types in JVM and serialize it to native side. I did similar thing in shuffle writer. Then we won't lose any information.
| int64 start = 2; | ||
| int64 length = 3; | ||
| int64 file_size = 4; | ||
| repeated spark.spark_expression.Expr partition_values = 5; |
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aren't the partition values just strings?
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No. Although for Hive partitioned table, partition values are dictionary names which are strings, but once Spark reads these strings back, they are casted to corresponding data types of partition columns.
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Which issue does this PR close?
Closes #1102.
Rationale for this change
What changes are included in this PR?
How are these changes tested?