GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/11869
[SPARK-14016][SQL] Support high-precision decimals in vectorized parquet
reader
## What changes were proposed in this pull request?
This patch adds support for reading `DecimalTypes` with high (> 18)
precision in `VectorizedColumnReader`
## How was this patch tested?
1. `VectorizedColumnReader` initially had a gating condition on
`primitiveType.getDecimalMetadata().getPrecision() > Decimal.MAX_LONG_DIGITS()`
that made us fall back on parquet-mr for handling high-precision decimals. This
condition is now removed.
2. In particular, the `ParquetHadoopFsRelationSuite` (that tests for all
supported hive types -- including `DecimalType(25, 5)`) fails when the gating
condition is removed (https://github.com/apache/spark/pull/11808) and should
now pass with this change.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark bigdecimal-parquet
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11869.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #11869
----
commit cbccee7951ed0401efc80469902bf6380ea9190b
Author: Sameer Agarwal <[email protected]>
Date: 2016-03-21T23:19:11Z
Support high-precision decimals
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