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author | Cheng Lian <lian@databricks.com> | 2016-03-30 18:21:06 -0700 |
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committer | Yin Huai <yhuai@databricks.com> | 2016-03-30 18:21:06 -0700 |
commit | 26445c2e472bad137fd350e4089dd0ff43a42039 (patch) | |
tree | 7972c24c16fef4202224d9982edb6698ece7e589 /dev/deps/spark-deps-hadoop-2.3 | |
parent | da54abfd8730ef752eca921089bcf568773bd24a (diff) | |
download | spark-26445c2e472bad137fd350e4089dd0ff43a42039.tar.gz spark-26445c2e472bad137fd350e4089dd0ff43a42039.tar.bz2 spark-26445c2e472bad137fd350e4089dd0ff43a42039.zip |
[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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