[SPARK-33089][SQL] make avro format propagate Hadoop config from DS options to underlying HDFS file system #29971
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…g HDFS file system
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Can one of the admins verify this patch? |
HyukjinKwon
approved these changes
Oct 8, 2020
HyukjinKwon
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Oct 8, 2020
…ptions to underlying HDFS file system
### What changes were proposed in this pull request?
In `AvroUtils`'s `inferSchema()`, propagate Hadoop config from DS options to underlying HDFS file system.
### Why are the changes needed?
There is a bug that when running:
```scala
spark.read.format("avro").options(conf).load(path)
```
The underlying file system will not receive the `conf` options.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
unit test added
Closes #29971 from yuningzh-db/avro_options.
Authored-by: Yuning Zhang <yuning.zhang@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
(cherry picked from commit bbc887b)
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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GitHub Actions build passed. Merged to master and branch-3.0. |
holdenk
pushed a commit
to holdenk/spark
that referenced
this pull request
Oct 27, 2020
…ptions to underlying HDFS file system
### What changes were proposed in this pull request?
In `AvroUtils`'s `inferSchema()`, propagate Hadoop config from DS options to underlying HDFS file system.
### Why are the changes needed?
There is a bug that when running:
```scala
spark.read.format("avro").options(conf).load(path)
```
The underlying file system will not receive the `conf` options.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
unit test added
Closes apache#29971 from yuningzh-db/avro_options.
Authored-by: Yuning Zhang <yuning.zhang@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
(cherry picked from commit bbc887b)
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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What changes were proposed in this pull request?
In
AvroUtils'sinferSchema(), propagate Hadoop config from DS options to underlying HDFS file system.Why are the changes needed?
There is a bug that when running:
spark.read.format("avro").options(conf).load(path)The underlying file system will not receive the
confoptions.Does this PR introduce any user-facing change?
No.
How was this patch tested?
unit test added