apache-pinot #troubleshooting

@Xiang Fu - I get the following error. Are there other options I need to enable these? I'm using presto-server-0.234.2 (the latest from the Presto download site).

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1) Configuration property 'pinot.infer-date-type-in-schema' was not used
2) Configuration property 'pinot.infer-timestamp-type-in-schema' was not used

Xiang Fu

05/01/2020, 6:19 AM

you can put options like

--memory="1g" --cpus=".5"

docker run

command

Damiano

05/03/2020, 4:04 PM

Hello, as you know i am writing a custom aggregator, i am working on aggregateGroupBySV method. could anyone explain if i must need the serialized part inside that method? i always see the IF statement that checks DataType.BYTES is it mandatory? Thanks

Subbu Subramaniam

05/05/2020, 1:43 AM

@Damiano Kishore was mentioning that you are facing some performance issues. Is that still the case? Or is that prolblem resoplved? I tried to look through this channel, but I could not find anything right away.

Neha Pawar

05/05/2020, 5:22 PM

Good to know @Ranveer Singh. Another problem is the datatype for your DateTimeFieldSpecs. It should be STRING. I was able to generate sample data - the DateTimeFieldSpecs show up correctly

Ranveer Singh

05/05/2020, 5:27 PM

@Neha Pawar, do you suggest superset for dashboard on Pinot

Jack

05/06/2020, 5:32 PM

It seems it’s because of the compiling issue on newer Java version. I can make a hot fix for that

Neha Pawar

05/07/2020, 4:02 PM

tried with a parquet file with data having similar characteristics to yours @kish. It worked fine for me 🤔

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2020/05/07 08:56:29.835 INFO [SegmentIndexCreationDriverImpl] [main] Finished building StatsCollector!
2020/05/07 08:56:29.836 INFO [SegmentIndexCreationDriverImpl] [main] Collected stats for 36000000 documents
2020/05/07 08:56:29.859 INFO [SegmentDictionaryCreator] [main] Created dictionary for INT column: m1 with cardinality: 49, range: 1 to 49
2020/05/07 08:56:29.875 INFO [SegmentDictionaryCreator] [main] Created dictionary for INT column: m2 with cardinality: 64000, range: 0 to 63999
2020/05/07 08:56:29.879 INFO [SegmentDictionaryCreator] [main] Created dictionary for LONG column: count with cardinality: 1, range: 1 to 1
2020/05/07 08:56:29.884 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d1, size: 11
2020/05/07 08:56:29.884 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d1 with cardinality: 1, max length in bytes: 11, range: ucdmJUDhdcv to ucdmJUDhdcv
2020/05/07 08:56:29.888 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d2, size: 200000
2020/05/07 08:56:29.889 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d2 with cardinality: 8000, max length in bytes: 25, range: A to zzltgSI
2020/05/07 08:56:29.897 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d3, size: 570000
2020/05/07 08:56:29.898 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d3 with cardinality: 38000, max length in bytes: 15, range: A to zzzqDAvrzsUvncL
2020/05/07 08:56:29.899 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d4, size: 16
2020/05/07 08:56:29.899 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d4 with cardinality: 4, max length in bytes: 4, range: Is to o
2020/05/07 08:56:29.900 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d5, size: 910
2020/05/07 08:56:29.900 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d5 with cardinality: 35, max length in bytes: 26, range: BHYTfkbxibsOoZYRInA to ysLZeqUdcMzWRYlWueR
2020/05/07 08:56:29.901 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d6, size: 27
2020/05/07 08:56:29.901 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d6 with cardinality: 3, max length in bytes: 9, range: GNhWQNwor to a
2020/05/07 08:56:29.902 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d7, size: 35
2020/05/07 08:56:29.902 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d7 with cardinality: 5, max length in bytes: 7, range: MlMtQ to z
2020/05/07 08:56:29.902 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d8, size: 15
2020/05/07 08:56:29.903 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d8 with cardinality: 5, max length in bytes: 3, range: cLf to x
2020/05/07 08:56:29.903 INFO [SegmentDictionaryCreator] [main] Using fixed bytes value dictionary for column: d9, size: 4553
2020/05/07 08:56:29.904 INFO [SegmentDictionaryCreator] [main] Created dictionary for STRING column: d9 with cardinality: 157, max length in bytes: 29, range: A to zwaGwwzPkH
2020/05/07 08:56:32.072 INFO [SegmentDictionaryCreator] [main] Created dictionary for LONG column: timestamp with cardinality: 29441824, range: 1587366000002 to 1587452399994
2020/05/07 08:56:32.148 INFO [SegmentIndexCreationDriverImpl] [main] Start building IndexCreator!
2020/05/07 08:59:05.704 INFO [SegmentIndexCreationDriverImpl] [main] Finished records indexing in IndexCreator!
2020/05/07 08:59:05.787 INFO [SegmentIndexCreationDriverImpl] [main] Finished segment seal!

Kishore G

05/07/2020, 4:03 PM

he is not seeing this log?

Kishore G

05/09/2020, 5:11 AM

https://github.com/apache/incubator-pinot/blob/master/pinot-core/src/main/java/org/apache/pinot/core/operator/transform/function/SingleParamMathTransformFunction.java

Dan Hill

05/09/2020, 5:22 AM

Has anyone gotten a left or full join to work with the Presto Pinot connector (and another table like MySQL)? Even if I specify 'left' or 'full', it looks like it's ignored. I filed a bug with Presto. https://github.com/prestodb/presto/issues/14508

Damiano

05/09/2020, 5:37 PM

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protected IntermediateResultsBlock getNextBlock() <--- here?

Damiano

05/11/2020, 10:21 AM

Hello everybody, is there a way to create an aggregator and return more than one column as result? I have many aggregators to implements and most of them have similar implementations so i thought to share their logic inside ONE aggregator, something like: https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-stats-aggregation.html

srisudha

05/20/2020, 5:52 PM

Probably the FAQ needs to be updated isn't it? @Neha Pawar and @Jackie

Jackie

05/21/2020, 6:06 PM

This line can be ignored as we do not have config for

brokerResource

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2020/05/21 16:35:04.476 WARN [ConfigAccessor] [ZkClient-EventThread-27-zookeeper.test.svc.cluster.local:2181/pinot] No config found at /test-views/CONFIGS/RESOURCE/brokerResource

Kishore G

05/22/2020, 8:18 PM

tried it on quickstart and seems to work

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select playerID,league playerName, sum(hits) from baseballStats group by playerID, league, playerName
select league,playerID, playerName, sum(hits) from baseballStats group by league,playerID, playerName

srisudha

05/23/2020, 1:44 AM

I will give a try with 500 mb and higher and check it out

Dan Hill

05/24/2020, 4:58 PM

What's the small amount of memory that a local Pinot can use? I started up a local broker, server and controller and zookeeper and it seems like it needs a 1g of memory. How can I reduce the size of this?

Dan Hill

05/24/2020, 6:25 PM

I was trying to get a separate dev Pinot instance running that my local jobs can use. If I try to get a local Presto to hit a remote Pinot (using a service address), I get an exception that looks like Presto is getting passed the pinot-broker's k8 address. I'm guessing the controller is returning the k8 address to Presto. What's a good way around this?

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Query 20200524_182130_00003_5izra failed: <http://java.net|java.net>.UnknownHostException: pinot-broker-0.pinot-broker-headless.pinot-metrics-dev.svc.cluster.local: Name or service not known

Kishore G

06/01/2020, 9:37 PM

also after starting the server, you need to wait for health checks to make sure everything is loaded before moving on to next server

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Dan Hill

06/02/2020, 12:13 AM

Hmm, what's the recommended structure for calling LaunchDataIngestionJob? I'm trying to run it with 300 million rows and I'm hitting a tar size issue. I can split the DataIngestion calls but I'm curious as to what is recommended.

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java.lang.RuntimeException: entry size '14879990781' is too big ( > 8589934591 )
	at org.apache.commons.compress.archivers.tar.TarArchiveOutputStream.failForBigNumber(TarArchiveOutputStream.java:623) ~[pinot-all-0.4.0-SNAPSHOT-jar-with-dependencies.jar:0.4.0-SNAPSHOT-ed26e8589fe5f91d2876d417aebf23575010cc76]

Logs

kish

06/03/2020, 10:54 PM

Hi: Is row groups supported in parquet file format ingestion?

Kishore G

06/04/2020, 9:31 PM

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pinot.broker.timeoutMs

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Xiang Fu

06/08/2020, 12:46 AM

sudo docker run --rm -ti -e JAVA_OPTS="-Xms8G -Dlog4j2.configurationFile=/opt/pinot/conf/pinot-admin-log4j2.xml  -Dplugins.dir=/opt/pinot/plugins" -v /home/ec2-user/metrics:/home/ec2-user/metrics   -v /home/ec2-user/events:/home/ec2-user/events   --name pinot-data-ingestion-job   apachepinot/pinot:latest LaunchDataIngestionJob   -jobSpecFile ~/metrics/pinot/loadtest/kubernetes/aws-dev-batch-job-spec.yaml

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Xiang Fu

06/08/2020, 8:09 PM

please read this for more detailed configs: https://zookeeper.apache.org/doc/r3.4.3/zookeeperAdmin.html#sc_advancedConfiguration

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