GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/4938
[SPARK-6195] [SQL] Adds in-memory column type for fixed-precision decimals
This PR adds a specialized in-memory column type for fixed-precision
decimals.
For all other column types, a single integer column type ID is enough to
determine which column type to use. However, this doesn't apply to
fixed-precision decimal types with different precision and scale parameters.
Moreover, according to the previous design, there seems no trivial way to
encode precision and scale information into the columnar byte buffer. On the
other hand, considering we always know the data type of the column to be built
/ scanned ahead of time. This PR no longer use column type ID to construct
`ColumnBuilder`s and `ColumnAccessor`s, but resorts to the actual column data
type. In this way, we can pass precision / scale information along the way.
The column type ID is now not used anymore and can be removed in a future
PR.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark decimal-column-type
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4938.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 #4938
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commit 4db713d51274c5f4d57de65b428ba57ee30c8255
Author: Cheng Lian <[email protected]>
Date: 2015-03-07T15:16:14Z
Adds in-memory column type for fixed-precision decimals
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