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suribabu-un commented on issue #4151:
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Issue is unrelated to hudi, it has to do with the llap is running in the emr
cluster. As mentioned above if llap is disabled then queries are running as
expected.
Issue can be re
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URL: https://github.com/apache/hudi/pull/4269#discussion_r766402385
##
File path: website/docs/quick-start-guide.md
##
@@ -175,18 +175,163 @@ values={[
+Spark-sql needs an explicit create table command.
+
+- Table typ
JoshuaZhuCN opened a new issue #4275:
URL: https://github.com/apache/hudi/issues/4275
When I use clustering async, I generate a lot of archive files, similar to
commits. archive. xx_ 1-0-1
how to control or clean up the number of these files
**Environment Description**
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##
File path: website/docs/quick-start-guide.md
##
@@ -175,18 +175,163 @@ values={[
+Spark-sql needs an explicit create table command.
+
+- Table typ
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##
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+Spark-sql needs an explicit create table command.
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+Spark-sql needs an explicit create table command.
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+- Table type
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Carl-Zhou-CN commented on issue #4267:
URL: https://github.com/apache/hudi/issues/4267#issuecomment-990654733
Because of your hudi version, you may need to manually update the partition
after writing
ALTER TABLE table_name RECOVER PARTITIONS;
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ASF GitHub Bot updated HUDI-2974:
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Labels: pull-request-available (was: )
> Make the prefix for metrics name configurable
>
rmahindra123 opened a new pull request #4274:
URL: https://github.com/apache/hudi/pull/4274
Currently metrics names always start with table name. This makes it less
flexible to create grafana dashboards with prometheus query. since its easier
to have consistent metrics names across all spa
Rajesh Mahindra created HUDI-2974:
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Summary: Make the prefix for metrics name configurable
Key: HUDI-2974
URL: https://issues.apache.org/jira/browse/HUDI-2974
Project: Apache Hudi
Issue Type:
codope merged pull request #4273:
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xiarixiaoyao commented on pull request #4178:
URL: https://github.com/apache/hudi/pull/4178#issuecomment-990647589
@vinothchandar @alexeykudinkin @leesf already update the code and address
all comments. pls help me review again, thanks
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> > And In the first phase, we would fallback to V1 write path
>
> Can this be done? Love to see some code for this.
yes, will open a PR in recent days.
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Carl-Zhou-CN commented on issue #4267:
URL: https://github.com/apache/hudi/issues/4267#issuecomment-990644240
"hoodie.datasource.hive_sync.enable": "true",
"hoodie.datasource.hive_sync.table": "my_hudi_table",
"hoodie.datasource.hive_sync.partition_fields": "creation_date",
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from 8321d20 Claiming RFC for data skipping index for updated version
(#4271)
add ea154bc Revert "Claiming RFC fo
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nsivabalan opened a new pull request #4272:
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…71)"
This reverts commit 8321d20c2cced15150621c9ad828f5ba9d79399a.
## *Tips*
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- *Please review https://hudi.apache.org/contri
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Arun-kc commented on issue #4267:
URL: https://github.com/apache/hudi/issues/4267#issuecomment-990615939
@Carl-Zhou-CN
The following is the hudi options I'm using as of now.
```python
hudiOptions = {
"hoodie.table.name": "my_hudi_table",
"hoodie.datasource.write.recor
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Labels: pull-request-available (was: )
> Rewrite/re-publish RFC for Data skipping index
> ---
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nsivabalan opened a new pull request #4271:
URL: https://github.com/apache/hudi/pull/4271
## *Tips*
- *Thank you very much for contributing to Apache Hudi.*
- *Please review https://hudi.apache.org/contribute/how-to-contribute before
opening a pull request.*
## What is the purp
sivabalan narayanan created HUDI-2973:
-
Summary: Rewrite/re-publish RFC for Data skipping index
Key: HUDI-2973
URL: https://issues.apache.org/jira/browse/HUDI-2973
Project: Apache Hudi
Is
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sivabalan narayanan reassigned HUDI-2973:
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Assignee: sivabalan narayanan
> Rewrite/re-publish RFC for Data skipping index
>
[
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sivabalan narayanan updated HUDI-2973:
--
Parent: HUDI-1822
Issue Type: Sub-task (was: Improvement)
> Rewrite/re-publish
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ASF GitHub Bot updated HUDI-2811:
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Labels: pull-request-available sev:critical (was: sev:critical)
> Support Spark 3.2 and Parquet 1
YannByron opened a new pull request #4270:
URL: https://github.com/apache/hudi/pull/4270
## *Tips*
- *Thank you very much for contributing to Apache Hudi.*
- *Please review https://hudi.apache.org/contribute/how-to-contribute before
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## What is the purpo
YannByron commented on issue #4208:
URL: https://github.com/apache/hudi/issues/4208#issuecomment-990591132
Hi, @BenjMaq
i can't reproduce this issue. Can you check your environment? Based on the
error above, i guess maybe the conflicts between jar cause this.
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nsivabalan commented on a change in pull request #3887:
URL: https://github.com/apache/hudi/pull/3887#discussion_r766321890
##
File path:
hudi-common/src/main/java/org/apache/hudi/common/fs/FileSystemGuardConfig.java
##
@@ -0,0 +1,131 @@
+/*
+ * Licensed to the Apache Software
nsivabalan commented on pull request #3887:
URL: https://github.com/apache/hudi/pull/3887#issuecomment-990589947
sure, makes sense if there are other cloud stores that needs this retry. Can
you please address the feedback given already.
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YannByron edited a comment on issue #4154:
URL: https://github.com/apache/hudi/issues/4154#issuecomment-990561751
Hey, @BenjMaq
I can't reproduce this issue using your sql in both hudi 0.9 and 0.10.
I use spark-2.4.4 in
[here](https://archive.apache.org/dist/spark/spark-2.4.4/) and hu
YannByron edited a comment on issue #4154:
URL: https://github.com/apache/hudi/issues/4154#issuecomment-990561751
Hey, @BenjMaq
In both hudi 0.9 and 0.10, `insert overwrite` can work well.
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Rap70r commented on issue #4242:
URL: https://github.com/apache/hudi/issues/4242#issuecomment-990582235
Got it, thank you. You mentioned that we can employ clustering to batch lot
of small files together. Is there a specific configuration we need to set to
achieve that? We are running Hudi
YannByron edited a comment on issue #4154:
URL: https://github.com/apache/hudi/issues/4154#issuecomment-990561751
Hey, @BenjMaq
In both hudi 0.9 and 0.10, `insert overwrite` can work well. My spark
version is 2.4.7, but i think it's ok.
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Carl-Zhou-CN commented on issue #4267:
URL: https://github.com/apache/hudi/issues/4267#issuecomment-990576501
@Arun-kc It feels like a connection problem, please check
hoodie.datasource.hive_sync.jdbcurl, it seems to be a default value now
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https://issues.apache.org/jira/browse/HUDI-2903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yann Byron reassigned HUDI-2903:
Assignee: Yann Byron
> get table schema from the last commit with data written
> --
hudi-bot commented on pull request #4178:
URL: https://github.com/apache/hudi/pull/4178#issuecomment-990569685
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nsivabalan commented on issue #4242:
URL: https://github.com/apache/hudi/issues/4242#issuecomment-990569759
yes.
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hudi-bot removed a comment on pull request #4178:
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YannByron commented on pull request #4269:
URL: https://github.com/apache/hudi/pull/4269#issuecomment-990569190
@nsivabalan @xushiyan please help to review this.
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ASF GitHub Bot updated HUDI-2878:
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Labels: pull-request-available (was: )
> Enhance hudi-quick start guide for spark-sql
> -
zz commented on issue #4072:
URL: https://github.com/apache/hudi/issues/4072#issuecomment-990568201
> ```
> Caused by: ERROR XSDB6: Another instance of Derby may have already booted
the database /home/zzt/code/spark-debug/metastore_db.
> ```
>
> guess you already have anoth
YannByron opened a new pull request #4269:
URL: https://github.com/apache/hudi/pull/4269
## *Tips*
- *Thank you very much for contributing to Apache Hudi.*
- *Please review https://hudi.apache.org/contribute/how-to-contribute before
opening a pull request.*
## What is the purpo
YannByron commented on issue #4154:
URL: https://github.com/apache/hudi/issues/4154#issuecomment-990561751
Hey, @BenjMaq
I test that it works in version 0.10. Can you use hudi 0.10?
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xiarixiaoyao commented on a change in pull request #4178:
URL: https://github.com/apache/hudi/pull/4178#discussion_r766290661
##
File path:
hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/MultipleSparkJobExecutionStrategy.java
##
@@ -
alexeykudinkin commented on a change in pull request #4178:
URL: https://github.com/apache/hudi/pull/4178#discussion_r766290137
##
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##
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##
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