Member since
11-17-2021
1168
Posts
262
Kudos Received
30
Solutions
My Accepted Solutions
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| 444 | 04-23-2026 02:02 PM | |
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| 6508 | 11-05-2025 10:13 AM | |
| 1225 | 10-16-2025 02:45 PM | |
| 2088 | 10-06-2025 01:01 PM |
04-21-2023
03:00 AM
i fix this issue by run command on destination cluster,i think it caused by original version is too old to support ec (hadoop-2.7.5)
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04-20-2023
01:10 AM
Thank you @mszurap for you response . I tried the suggested work around already and it seems like the issue still persists . I agree the table has lot of partitions but I am pretty sure the code times out before 5 mins . I have also tried enforcing the hive-site.xml with the updated timeout which also did not help much. Only thing which worked was adding spark.catalog.recoverPartitions(table) before issuing the drop partition command . I am really not sure as why recovering the partitions in the catalog eliminated the metastore warning . Below is the updated code which is working without any warning : spark.sql.catalog.recoverPartitions(orders) spark.sql("alter table orders drop if exists partition(year=2023)") data.write.mode('Overwrite').parquet(hdfsPath) Any help here in understanding the problem will be much appreciated .
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04-19-2023
12:22 AM
Glad to hear that. 🙂 The "hive.stats.autogather" should be unrelated to this, it just controls whether Hive should gather statistics at the end of INSERT statements, disabling it just speeds up the insert query somewhat. If you see something weird or not working with that enabled, feel free to open a support case on our Support Portal. See this and all the hive configuration descriptions in the HiveConf.java source code. Cheers, Miklos
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04-16-2023
10:05 PM
Here are some highlights from the month of March
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COMING NEXT!
Streaming Data Pipeline Development
Check out the FY24 Cloudera Meetup Events Calendar for upcoming & past event details!
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198 new support questions
2 new community articles
592 new members
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Rank
Community Article
Author
Components/ Labels
#1
Processing files within the CML EFS (better I/O performance) - Edge Case with non-tabular data
Ryan Cicak @RyanCicak
Cloudera Machine Learning (CML)
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We would like to recognize the below community members and employees for their efforts over the last month to provide community solutions.
See all our top participants at Top Solution Authors leaderboard and all the other leaderboards on our Leaderboards and Badges page.
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@MattWho @smdas @steven-matison @mszurap @ckumar @cotopaul @SAMSAL @davehkd @BrianChan @jorgeoa
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Share your expertise and answer some of the below open questions. Also, be sure to bookmark the unanswered question page to find additional open questions.
Unanswered Community Post
Components/ Labels
Hortonworks maven repo broken?
Hortonworks Data Platform (HDP)
Python updates
Cloudera Data Platform (CDP)
Nifi - Mongo X509 auth
Apache NiFi
ATLAS-409-00-002: Given type xxx has references
Apache Atlas
value cannot be converted to a timestamp
Apache NiFI NiFi Registry
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04-16-2023
07:15 AM
Hi @DigitalPlumber - Yes it is Public Cloud. I use NiPyAPI on HDF where I was able to add any variable etc using that library. In CDP, I want to get the current processor ID. It can be via expression language or by API. How can I achieve that? For example, I want to fetch all the PutS3 processors ID then how can I get that?
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04-14-2023
07:03 AM
I have also tested the same with Apache Nifi 1.15.3 (open-source/community) and it works. It did not work though when testing with Apache Nifi 1.13.2 (open-source/community) it still fails with the same error message.
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04-13-2023
12:05 AM
This sounds a Spring boot specific issue, a quick googling was leading me to https://stackoverflow.com/questions/42073194/unable-to-detect-database-type please check if the suggestions in that discussion helps.
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04-01-2023
08:09 AM
How frequently is this occurring? It is worth checking network drops or you might consider increasing the timeouts on both sides ie. Resource Manager and Zookeeper.
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03-30-2023
02:44 PM
1 Kudo
@wffger2 @cotopaul The InstanceIdentifier was introduced when NiFi switched from using the flow.xml.gz to the flow.josn.gz for flow persistence. It is also currently being written to the flows stored in the NiFi-Registry. I say "currently" because this jira exist and is still open: https://issues.apache.org/jira/browse/NIFI-11321 So as @cotopaul points out, the "instanceIdentifier" will be unique for each instantiation of the flow definition, but the "identifier" will be the same. Downside here is every time you want to do a comparison, you'll need to download latest flow definition from DEV and UAT environments and compare for difference based on the Identifiers. Thanks, Matt
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03-30-2023
02:51 AM
Hi @Albap Based on the logs, i can see you have created streaming application. By default streaming application will run 24*7, it will stop only when we kill or some interrupted event happen at the system level. Better way to kill/shutdown the spark streaming applications is by using graceful shutdown. If you need further help, please raise an cloudera case we will work on.
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