GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/9408
[SPARK-11453][SQL] append data to partitioned table will messes up the
result
The reason is that:
1. For partitioned hive table, we will move the partitioned columns after
data columns. (e.g. `<a: Int, b: Int>` partition by `a` will become `<b: Int,
a: Int>`)
2. When append data to table, we use position to figure out how to match
input columns to table's columns.
So when we append data to partitioned table, we will match wrong columns
between input and table. A solution is reordering the input columns before
match by position.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark append
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9408.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 #9408
----
commit b1512b0bcb80d5621f43954989403a85fdab0960
Author: Wenchen Fan <[email protected]>
Date: 2015-11-02T10:53:30Z
fix bug of appending data to partitioned table
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