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authorCheng Lian <lian@databricks.com>2016-03-30 18:21:06 -0700
committerYin Huai <yhuai@databricks.com>2016-03-30 18:21:06 -0700
commit26445c2e472bad137fd350e4089dd0ff43a42039 (patch)
tree7972c24c16fef4202224d9982edb6698ece7e589 /dev
parentda54abfd8730ef752eca921089bcf568773bd24a (diff)
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[SPARK-14206][SQL] buildReader() implementation for CSV
## What changes were proposed in this pull request? Major changes: 1. Implement `FileFormat.buildReader()` for the CSV data source. 1. Add an extra argument to `FileFormat.buildReader()`, `physicalSchema`, which is basically the result of `FileFormat.inferSchema` or user specified schema. This argument is necessary because the CSV data source needs to know all the columns of the underlying files to read the file. ## How was this patch tested? Existing tests should do the work. Author: Cheng Lian <lian@databricks.com> Closes #12002 from liancheng/spark-14206-csv-build-reader.
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