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arun990 commented on issue #3127:
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Hi, checked with hive sync as true also after setting up spark 2.4.0 with
hive.
Getting the same error as mentioned below.
Please advise.
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[
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Summary: Support rollback inflight compaction instances for
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Description: Support rollback inflight compaction instances for
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nsivabalan edited a comment on pull request #2923:
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@n3nash : Can you please respond to the author. I don't have much exp in
this.
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@n3nash : Can you please respond to the author.
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xushiyan commented on pull request #2906:
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@vinothchandar master builds are more or less stable now. (earlier failures
all due to a caching misconfig)
vinothchandar commented on pull request #2906:
URL: https://github.com/apache/hudi/pull/2906#issuecomment-865448503
pass rate is going up, only so slowly. I feel we should fix the current CI
flakiness. (planning to work on it after a round of PR reviews) and get the
metrics looking good,
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arun990 commented on issue #3127:
URL: https://github.com/apache/hudi/issues/3127#issuecomment-865442514
Hi @n3nash, Thanks for quick update.
Yes, followed these instructions on using pyspark with Hudi ->
https://hudi.apache.org/docs/spark_quick-start-guide.html#pyspark-example and
its
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danny0405 commented on pull request #3109:
URL: https://github.com/apache/hudi/pull/3109#issuecomment-865426911
> I agree. I am just repeating @leesf 's point that the transitions being
the way they are. this fix is more for code semantics than actual problem. I am
cool with this. let's
n3nash commented on issue #3054:
URL: https://github.com/apache/hudi/issues/3054#issuecomment-865424978
@FelixKJose You can do time travel in the following way:
**Using Spark**
```
Dataset hudiIncQueryDF = spark.read()
.format("org.apache.hudi")
n3nash commented on issue #3065:
URL: https://github.com/apache/hudi/issues/3065#issuecomment-865422520
@wangfeigithub It's hard to say what the issue really is but one thing I can
see is that MARKER files are generally under a "." directory. Do you think
Windows fs might not be
n3nash commented on issue #3077:
URL: https://github.com/apache/hudi/issues/3077#issuecomment-865422129
@karan867 Can you try setting the following parameters ?
1. https://hudi.apache.org/docs/configurations.html#withIndexType -> Set the
index type to SIMPLE.
2.
n3nash commented on issue #3078:
URL: https://github.com/apache/hudi/issues/3078#issuecomment-865418114
@tandonraghav Let me explain in details
1. `preCombine` -> This is used in the following code paths a) In-Memory
deduping/merging of incoming records. The logic in preCombine
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n3nash commented on issue #3094:
URL: https://github.com/apache/hudi/issues/3094#issuecomment-865413205
@moranyuwen Could you please provide the full stack trace from the output to
be able to debug the issue ?
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n3nash commented on issue #3095:
URL: https://github.com/apache/hudi/issues/3095#issuecomment-865411053
@tamil-balaiah This looks like a deployment problem with AWS EMR and not
specifically a Hudi issue. Have you tried reaching out to the AWS support team
?
cc @umehrot2
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n3nash commented on issue #3113:
URL: https://github.com/apache/hudi/issues/3113#issuecomment-865410086
@jkdll Can you try changing your schema as follows :
```
{
"name": "Title",
"type": [
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@arun990 Are you following these instructions on using pyspark with Hudi ->
https://hudi.apache.org/docs/spark_quick-start-guide.html#pyspark-example ?
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