About Meepoljd

Asfahan · ‎11-14-2024

Hi Team, it does looks like a syntax error "Empty key" could you please confirm the API you are passing has the key can you share it here

Meepoljd · ‎04-03-2024

I think I've found the reason for the problem. It's not related to the Spark version. I used the Java process analysis tool Arthas to investigate and found that the AM startup process was blocked at the creation of the Timeline client. And this problem might be due to our TimeLine service using an embedded HBase service. When we configured the HBase used by the TimeLine service to our production environment's HBase, the problem disappeared.

RangaReddy · ‎02-04-2024

Hi @Meepoljd Please let me know still you need any help on this issue. If any of the above solutions is helped then mark Accept as Solution.

mszurap · ‎01-18-2024

As far as I know this is more of an empirical best practice. As mentioned it cannot be exactly calculated since there are some variable factors (filename / path lengths, acl counts, etc) which change from environment to environment.

Meepoljd · ‎01-05-2024

I think your intention is to retrieve these data for your own monitoring or reporting tasks. If so, you can try requesting JMX to obtain the relevant data, such as through http://namenode:port/jmx.

Scharan · ‎09-06-2023

Hi @Meepoljd It seems like the issue is with the certificate. Make sure the certificate is created with fqdn. The curl command is working because, as you passing --insecure, it ignores invalid and self-signed certificate errors.

lhl · ‎12-06-2022

May be you can use "http://HOST:31000/api/atlas/admin/purge/".

VidyaSargur · ‎11-09-2022

@Mahesh20,Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.

Meepoljd · ‎11-03-2022

Hi, I'm trying to configure the spark-connector for apache atlas.When I execute this statement "create table dept_three_spark as select * from dept_four_ext_hive;" ,the table created successed ,but I get the following error: And when I visited atlas, a lot of information was missing. I tried to add the number of kafka topic ATLAS_HOOK and ATLAS_ENITIES partitions, but no use. What can I do next to solve this problem? Spark version: 2.3.0 Atlas version: 2.2.0 Kafka version: 2.0.0 HDP version: 3.1.5.0-152 Spark-connector version: 0.1.0.3.1.5.0-152

rki_ · ‎07-24-2022

Hi @Meepoljd As per the description of the issue, I believe you are hitting ZOOKEEPER-1622 . Cloudera has already released TSB-2022-577 for this. As mentioned in the TSB, the session IDs should be unique but due to this bug, two clients might use the same session ID and hence causing the unexpected session termination.

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