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From "Josh Rosen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-17666) take() or isEmpty() on dataset leaks s3a connections
Date Mon, 26 Sep 2016 21:08:22 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Rosen updated SPARK-17666:
-------------------------------
    Component/s:     (was: Java API)
                 SQL

> take() or isEmpty() on dataset leaks s3a connections
> ----------------------------------------------------
>
>                 Key: SPARK-17666
>                 URL: https://issues.apache.org/jira/browse/SPARK-17666
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>         Environment: ubuntu/centos, java 7, java 8, spark 2.0, java api
>            Reporter: Igor Berman
>
> I'm experiensing problems with s3a and working with parquet with dataset api
> the symptom of problem - tasks failing with 
> {code}
> Caused by: org.apache.http.conn.ConnectionPoolTimeoutException: Timeout waiting for connection
from pool
> 	at org.apache.http.impl.conn.PoolingClientConnectionManager.leaseConnection(PoolingClientConnectionManager.java:232)
> 	at org.apache.http.impl.conn.PoolingClientConnectionManager$1.getConnection(PoolingClientConnectionManager.java:199)
> 	at sun.reflect.GeneratedMethodAccessor6.invoke(Unknown Source)
> {code}
> Checking CoarseGrainedExecutorBackend with lsof gave me many sockets in CLOSE_WAIT state
> reproduction of problem:
> {code}
> package com.test;
> import java.text.ParseException;
> import org.apache.spark.SparkConf;
> import org.apache.spark.sql.Dataset;
> import org.apache.spark.sql.Row;
> import org.apache.spark.sql.SparkSession;
> public class ConnectionLeakTest {
> 	public static void main(String[] args) throws ParseException {
> 		SparkConf sparkConf = new SparkConf();
> 		sparkConf.setMaster("local[*]");
> 		sparkConf.setAppName("Test");
> 		sparkConf.set("spark.local.dir", "/tmp/spark");
> 		sparkConf.set("spark.sql.shuffle.partitions", "2");
> 		SparkSession session = SparkSession.builder().config(sparkConf).getOrCreate();
> //set your credentials to your bucket
> 		for (int i = 0; i < 100; i++) {
> 			Dataset<Row> df = session
> 					.sqlContext()
> 					.read()
> 					.parquet("s3a://test/*");//contains multiple snappy compressed parquet files
> 			if (df.rdd().isEmpty()) {//same problem with takeAsList().isEmpty()
> 				System.out.println("Yes");
> 			} else {
> 				System.out.println("No");
> 			}
> 		}
> 		System.out.println("Done");
> 	}
> }
> {code}
> so when program runs, you can jps for pid and do lsof -p <pid> | grep https
> and you'll see constant grow of CLOSE_WAITs
> Our way to bypass problem is to use count() == 0
> In addition we've seen that df.dropDuplicates("a","b").rdd().isEmpty() doesn't produce
problem too



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