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swapnilushinde commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496382800
Hello @HyukjinKwon @MaxGekk -
Above simple example was just for an ill
wenxuanguan commented on issue #24711: [SPARK-27859][SS] Use efficient sorting
instead of `.sorted.reverse` sequence
URL: https://github.com/apache/spark/pull/24711#issuecomment-496380982
> yea LGTM too
Thank you for review
---
HeartSaVioR commented on a change in pull request #23576: [SPARK-26655] [SS]
Support multiple aggregates in append mode
URL: https://github.com/apache/spark/pull/23576#discussion_r287939969
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/WatermarkTrac
Ngone51 commented on issue #24569: [SPARK-23191][CORE] Warn rather than
terminate when duplicate worker register happens
URL: https://github.com/apache/spark/pull/24569#issuecomment-496376452
Thank you @cloud-fan
This is an
HyukjinKwon commented on issue #24711: [SPARK-27859][SS] Use efficient sorting
instead of `.sorted.reverse` sequence
URL: https://github.com/apache/spark/pull/24711#issuecomment-496376373
yea LGTM too
This is an automated mes
HyukjinKwon closed pull request #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
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HyukjinKwon commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496375843
There's virtually no diff:
```scala
case class Person(name: String
HyukjinKwon commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496375267
API itself is two lines. It's one liner or two liner - workaround is easy. I
dongjoon-hyun commented on issue #24711: [SPARK-27859][SS] Use efficient
sorting instead of `.sorted.reverse` sequence
URL: https://github.com/apache/spark/pull/24711#issuecomment-496374107
You're welcome, @wenxuanguan .
This
dongjoon-hyun edited a comment on issue #24724: User friendly dataset,
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definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496373474
First of all, the followings are the most frequent use cases. (And
dongjoon-hyun commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496373474
First of all, the followings are the most frequent use cases.
1. HEADER
dongjoon-hyun edited a comment on issue #24724: User friendly dataset,
dataframe generation for csv datasources without explicit StructType
definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496373474
First of all, the followings are the most frequent use cases.
1
HyukjinKwon closed pull request #24716: [SPARK-27848][R][BUILD] AppVeyor change
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wenxuanguan commented on issue #24711: [SPARK-27859][SS] Use efficient sorting
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@srowen @dongjoon-hyun Thank you for review
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test this please
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swapnilushinde edited a comment on issue #24724: User friendly dataset,
dataframe generation for csv datasources without explicit StructType
definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496367606
Hi, @dongjoon-hyun Thanks for reply. Yes, I use this API sometime
HyukjinKwon commented on issue #24716: [SPARK-25944][R][BUILD] AppVeyor change
to latest R version (3.6.0)
URL: https://github.com/apache/spark/pull/24716#issuecomment-496368610
Oops, thanks
This is an automated message from
swapnilushinde commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496367606
Hi, @dongjoon-hyun Thanks for reply. Yes, I use this API sometimes as wel
dongjoon-hyun commented on issue #24716: [SPARK-25944][R][BUILD] AppVeyor
change to latest R version (3.6.0)
URL: https://github.com/apache/spark/pull/24716#issuecomment-496366021
BTW, @HyukjinKwon . Could you fix the PR description?
> R 3.5.1 is released 2019-04-26.
It seems to
dongjoon-hyun commented on issue #24724: User friendly dataset, dataframe
generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496365550
Hi, @swapnilushinde . Thank you for making a PR, but do you the following?
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URL: https://github.com/apache/spark/pull/24711#issuecomment-496364119
Merged to master.
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dongjoon-hyun commented on issue #24711: [Minor][SS] Use efficient sorting
instead of `.sorted.reverse` sequence
URL: https://github.com/apache/spark/pull/24711#issuecomment-496363920
I'll create for you.
This is an automated
dongjoon-hyun commented on issue #24711: [Minor][SS]avoid inefficient sort when
getLatest in HDFSMetadataLog
URL: https://github.com/apache/spark/pull/24711#issuecomment-496363597
Also, please update PR title and description. You didn't include the changes
in `streaming/ui/BatchPage.scala`
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sort when getLatest in HDFSMetadataLog
URL: https://github.com/apache/spark/pull/24711#issuecomment-496362843
Thank you for pinging me, @wenxuanguan . Please make a JIRA issue and use
the ID in the PR title. This
dongjoon-hyun commented on issue #24711: [Minor][SS]avoid inefficient sort when
getLatest in HDFSMetadataLog
URL: https://github.com/apache/spark/pull/24711#issuecomment-496362843
Thank you for pinging me, @wenxuanguan . Please make a JIRA issue and use
the ID. This is trivial but worth fo
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@dongjoon-hyun @HyukjinKwon Can you please have a look?
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swapnilushinde opened a new pull request #24724: User friendly dataset,
dataframe generation for csv datasources without explicit StructType
definitions.
URL: https://github.com/apache/spark/pull/24724
## What changes were proposed in this pull request?
Many users frequently load struct
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dongjoon-hyun edited a comment on issue #24472: [SPARK-27578][SQL] Support
INTERVAL ... HOUR TO SECOND syntax
URL: https://github.com/apache/spark/pull/24472#issuecomment-496358371
Hi, @gatorsmile and @cloud-fan .
Could you give us some directional advice, please?
- First, this PR
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dongjoon-hyun commented on issue #24472: [SPARK-27578][SQL] Support INTERVAL
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URL: https://github.com/apache/spark/pull/24472#issuecomment-496358371
Hi, @gatorsmile and @cloud-fan .
Could you give us some directional advice, please?
- First, this PR wants
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jzhuge commented on a change in pull request #24689:
[SPARK-26946][SQL][FOLLOWUP] Handle lookupCatalog function not defined
URL: https://github.com/apache/spark/pull/24689#discussion_r287922975
##
File path:
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cloud-fan commented on issue #24569: [SPARK-23191][CORE] Warn rather than
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URL: https://github.com/apache/spark/pull/24569#issuecomment-496356630
thanks, merging to master!
This
cloud-fan commented on issue #24696: [SPARK-27832][SQL] Don't decompress and
create column batch when the task is completed
URL: https://github.com/apache/spark/pull/24696#issuecomment-496355838
> At the moment, the returned batch is also immediately closed
I'm a little lost here. Ca
dongjoon-hyun edited a comment on issue #24722: [SPARK-27858][SQL] Fix for avro
deserialization on union types with multiple non-null types
URL: https://github.com/apache/spark/pull/24722#issuecomment-496351652
@gcmerz . What is your id in Apache JIRA? If you don't have, please create
one.
dongjoon-hyun commented on issue #24722: [SPARK-27858][SQL] Fix for avro
deserialization on union types with multiple non-null types
URL: https://github.com/apache/spark/pull/24722#issuecomment-496351652
@gcmerz . What is your id in Apache JIRA? If you don't have, please create
one. Then,
zhengruifeng commented on issue #14325: [SPARK-16692] [ML] Add multi label
classification evaluator, DataFrame
URL: https://github.com/apache/spark/pull/14325#issuecomment-496350955
What's the progress now? @liwzhi @WeichenXu123 @srowen
If @liwzhi are not working on this, can I take it
dongjoon-hyun closed pull request #24722: [SPARK-27858][SQL] Fix for avro
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URL: https://github.com/apache/spark/pull/24722#issuecomment-496348939
Merged to `master` and `branch-2.4`.
-
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URL: https://github.com/apache/spark/pull/24722#issuecomment-496348246
You're welcome. Thank you for swift update.
--
dongjoon-hyun commented on issue #24043: [SPARK-11412][SQL] Support merge
schema for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-496347909
Lastly, it would be great if you can add some performance comparisons
between Parquet/ORC merge schema in the PR description. This
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dongjoon-hyun commented on a change in pull request #24043: [SPARK-11412][SQL]
Support merge schema for ORC
URL: https://github.com/apache/spark/pull/24043#discussion_r287913435
##
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileOperator.scala
##
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