Hi, I want to discuss about the support for timestamp dataType.
As we know, now Hudi save timestamp type as long, then this will lead to some
problem when the table include timestamp datatype:
1) At bootstrap operation, if the origin parquet file was written by a spark
application, then spark
>> Oops, the image crushes, for "change flags", i mean: insert,
update(before
and after) and delete.
Yes, the image I attached is also about these flags.
[image: image (3).png]
+1 for the idea.
Best,
Vino
Danny Chan 于2021年4月1日周四 上午10:03写道：
> Oops, the image crushes, for "change flags", i
Oops, the image crushes, for "change flags", i mean: insert, update(before
and after) and delete.
The Flink engine can propagate the change flags internally between its
operators, if HUDI can send the change flags to Flink, the incremental
calculation of CDC would be very natural (almost
+1
- Release Validation Script [OK]
- Compile with Spark 2/Spark 3 [OK]
- Ran QuickStart with Spark 2/Spark 3 on EMR [OK]
Thanks,
Udit
On 3/31/21, 5:16 PM, "Vinoth Chandar" wrote:
CAUTION: This email originated from outside of the organization. Do not
click links or open attachments
+1 binding
- Tested Optimistic Concurrency Control in EMR/Zookeeper setup
- Ran some perf tests with bulk_insert/row writer, upserts
- Cleaning, Archival all seem to be happening as expected
- Hit one intermittent issue with the metadata table, but unable to repro
again. So not blocking the
+1 binding
Compilation Succeeded.Release Validation Succeeded
```balaji-varadarajan--C02CV6A6MD6R:scripts balaji.varadarajan$
./release/validate_staged_release.sh --release=0.8.0 --rc_num=1
/tmp/validation_scratch_dir_001 ~/code/oss/upstream_hudi/scriptsDownloading
from svn co
+1 binding
1. Compilation [OK]
2. Quick start (Spark 2.x, 3.x) [OK]
3. Signature [OK]
Thanks,
Nishith
On Wed, Mar 31, 2021 at 8:35 AM vino yang wrote:
> +1 binding
>
> - ran `mvn clean package -DskipTests` [OK]
> - quick start (Spark 2.x, 3.x) [OK]
> - checked signature [OK]
>
> Best,
> Vino
+1 binding
- ran `mvn clean package -DskipTests` [OK]
- quick start (Spark 2.x, 3.x) [OK]
- checked signature [OK]
Best,
Vino
Sivabalan 于2021年3月31日周三 下午12:32写道：
> +1 binding
>
> - Compilation Ok
> - Quick start utils w/ spark3 Ok
> - checksum Ok
> - release validation script Ok
> - Ran hudi
Hi Danny,
Thanks for kicking off this discussion thread.
Yes, incremental query( or says "incremental processing") has always been
an important feature of the Hudi framework. If we can make this feature
better, it will be even more exciting.
In the data warehouse, in some complex calculations,
Hi dear HUDI community ~ Here i want to fire a discuss about using HUDI as
the unified storage/format for data warehouse/lake incremental computation.
Usually people divide data warehouse production into several levels, such
as the ODS(operation data store), DWD(data warehouse details), DWS(data
cc @vinoth
Best,
Danny Chan
harshit mittal 于2021年3月31日周三 下午3:18写道：
> Hi,
> I'd like to be added to the project committer group. Could somebody help me
> with this request?(jiraId: hmittal83, cwiki userId: hmittal83).
> --
> Best,
> Harshit
>
Hi,
I'd like to be added to the project committer group. Could somebody help me
with this request?(jiraId: hmittal83, cwiki userId: hmittal83).
--
Best,
Harshit
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