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From "Vladimir Ozerov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-2143) inner join produce wrong result and is very slow
Date Tue, 20 Dec 2016 10:05:58 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-2143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15763826#comment-15763826
] 

Vladimir Ozerov commented on IGNITE-2143:
-----------------------------------------

HI Sergey,

AFAIK problem with COUNT(DISTINCT) and GROUP BY clause was fixed some time ago: IGNITE-3448.
Closing this ticket as duplicate. Please feel free to re-open if the problem is still there.

> inner join produce wrong result and is very slow
> ------------------------------------------------
>
>                 Key: IGNITE-2143
>                 URL: https://issues.apache.org/jira/browse/IGNITE-2143
>             Project: Ignite
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0.final
>         Environment: 3 nodes in docker containers.
>            Reporter: Sergey Soldatov
>            Priority: Critical
>         Attachments: config.xml, ignite-cache-1.0.0.jar
>
>
> I have following query for gitarchive records processing.  
> {code}
> select 
>      lang, count(distinct ForkTable.repo_url) as cnt 
> from (
>      select repo_url, lang from gitrecord where type = 'ForkEvent' and 
>      lang is not null group by lang, repo_url) as ForkTable 
> inner join (
>      select repo_url, html_url from gitrecord where type='PullRequestEvent'    
>      group by repo_url, html_url) as PullTable 
> on 
>      ForkTable.repo_url = PullTable.repo_url 
> group by lang 
> order by cnt desc
> {code}
> And there are two major problems:
> 1. It produces an incorrect result if it's running in cluster mode.
> 2. It's really slow. for 200k rows it takes 500+ seconds comparing to 20 on Spark for
the same query
> Steps to reproduce:
> 1. Download github archive for 1 day and put it to hdfs ("/Data" in my case):
> {code}wget http://data.githubarchive.org/2015-01-01-{0..23}.json.gz{code}
> 2. copy attached ignite-cache-1.0.0.jar to Ignite's lib dir 
> 3. run ignite with attached config.xml 
> 4. run spark-shell
> {code}
> spark-shell --packages org.apache.ignite:ignite-spark:1.5.0-b1 --repositories http://www.gridgainsystems.com/nexus/content/repositories/external
--jars /usr/lib/ignite-hadoop/libs/ignite-cache-1.0.0.jar --master spark://{spark-master}:7077
> {code}
> 5. load data and execute the query:
> {code}
> import org.apache.ignite._
> import org.apache.ignite.configuration._
> import org.apache.ignite.cache.query._
> import org.apache.ignite.spark._
> import org.apache.ignite.lang.IgniteBiPredicate
> import io.dtk._
> val df = sqlContext.read.json("/Data/*.gz")
> Ignition.setClientMode(true)
> val cacheName = "gitrecords"
> val rdd = df.select("id", "repo.url", "payload.forkee.language","type","payload.pull_request.head.repo.html_url").map(row
=> (row.getString(0), new GitRecord(0, row.getString(1),row.getString(2),row.getString(3),row.getString(4))))
> val cfg = new CacheConfiguration[String,GitRecord]().setName(cacheName).setIndexedTypes(classOf[String],classOf[GitRecord]).setLoadPreviousValue(true)
> val ic = new IgniteContext[String,GitRecord](sc, "/usr/lib/ignite-hadoop/config/config.xml")
> val sharedRDD = ic.fromCache(cfg)
> sharedRDD.savePairs(rdd)
> sharedRDD.sql("select lang, count(distinct ForkTable.repo_url) as cnt from (select repo_url,
lang from gitrecord where type = 'ForkEvent' and lang is not null group by lang, repo_url)
as ForkTable inner join (select repo_url, html_url from gitrecord where type='PullRequestEvent'
group by repo_url, html_url) as PullTable on ForkTable.repo_url = PullTable.repo_url group
by lang order by cnt desc").show
> {code}



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