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https://issues.apache.org/jira/browse/IGNITE-2143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15055115#comment-15055115
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Konstantin Boudnik commented on IGNITE-2143:
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I wonder if this is a performance (and code) regression?
> 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
> 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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