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Github user jkbradley commented on the issue:
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LGTM
I'll merge this with master
Thanks @MrBago !
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retest this please.
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--- Diff: docs/avro-data-source-guide.md ---
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+title: Apache Avro Data Source Guide
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I don't understand the purpose of this change. Can you explain exactly what
part of `SparkHadoopUtil` do you need to customize, and why that change can't
just be made to the shared code?
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Github user rdblue commented on the issue:
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@cloud-fan, I think that the scan config builder needs to accept the
options and that SaveMode needs to be removed before we should merge this PR.
I'm fine with following up with the WriteConfig
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@HyukjinKwon Thanks for the reviewing and merging!
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*/
Github user steveloughran commented on the issue:
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Well, no obvious answer there I'm afraid, except "don't put HDFS JARs on
the classpath"; if you serve them up via HTTP all should work
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Github user rajeshcode commented on the issue:
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Sorry about above stack. The actual error is as below. Thats why relates
to SPARK-21697
Removing commons-logging jar fixes it. copying back common-logging jar
never complains again that
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Github user BryanCutler commented on the issue:
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Does it make any sense to have less values than fields? Maybe we should
check that they are equal, wdyt @HyukjinKwon ?
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@BryanCutler, thanks for taking a look at this.
Despite the problems you hit when the limit was set too low, I think we do
want to use that limit. It was the most reliable one from our
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Please hold off on merging this am investigating a weirdness I want to make
sure isn't caused by this.
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Yeah that's right, we have had two parallel trees for different Scala
versions just for reasons like this. There is less forked code now than with
2.10 vs 2.11. If you think we can merge all the
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@holdenk pyarrow uses a C++ based memory pool, so I'm not sure how that
exactly works with rlimit but I ran some tests and looks like an error is
thrown when the limit is set.
**with
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Can one of the admins verify this patch?
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ok to test
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[SPARK-22779] Fallback config defaults should behave like scalar defaults
## What changes were proposed in this pull request?
The value returned by a call to `spark.conf.get(key)` may be
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retest this please
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retest this please
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--- Diff: python/pyspark/sql/types.py ---
@@ -1597,6 +1598,12 @@ def to_arrow_type(dt):
arrow_type = pa.decimal128(dt.precision, dt.scale)
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LGTM. Merging to master.
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Github user dbtsai commented on the issue:
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@srowen Just found Scala 2.12 has a separated REPL implementation which
suffered from message order printing issue too.
Let me change this PR so the Scala 2.12 version is still on 2.12.6
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I am fairly neutral on whether to hack to support multiple Scala 2.11
versions, and 2.11.12, or just leave it at 2.11.8. I think this hack is pretty
low risk because I can't see any more 2.11.x
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