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https://issues.apache.org/jira/browse/SPARK-21402?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16114179#comment-16114179
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Tom commented on SPARK-21402:
-----------------------------
Additional comment when there are multiple datatypes which are not easily
convert to one other (e.g double <-> string) the system get crazy (as well the
instruction in the error message didn't help) -
{code:bash}
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGBUS (0xa) at pc=0x000000011be827bc, pid=992, tid=0x0000000000001c03
#
# JRE version: Java(TM) SE Runtime Environment (8.0_121-b13) (build
1.8.0_121-b13)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.121-b13 mixed mode bsd-amd64
compressed oops)
# Problematic frame:
# v ~StubRoutines::jlong_disjoint_arraycopy
#
# Failed to write core dump. Core dumps have been disabled. To enable core
dumping, try "ulimit -c unlimited" before starting Java again
#
# If you would like to submit a bug report, please visit:
# http://bugreport.java.com/bugreport/crash.jsp
#
{code}
> Java encoders - switch fields on collectAsList
> ----------------------------------------------
>
> Key: SPARK-21402
> URL: https://issues.apache.org/jira/browse/SPARK-21402
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.1
> Environment: mac os
> spark 2.1.1
> Using Scala version 2.11.8, Java HotSpot(TM) 64-Bit Server VM, 1.8.0_121
> Reporter: Tom
>
> I have the following schema in a dataset -
> root
> |-- userId: string (nullable = true)
> |-- data: map (nullable = true)
> | |-- key: string
> | |-- value: struct (valueContainsNull = true)
> | | |-- startTime: long (nullable = true)
> | | |-- endTime: long (nullable = true)
> |-- offset: long (nullable = true)
> And I have the following classes (+ setter and getters which I omitted for
> simplicity) -
>
> {code:java}
> public class MyClass {
> private String userId;
> private Map<String, MyDTO> data;
> private Long offset;
> }
> public class MyDTO {
> private long startTime;
> private long endTime;
> }
> {code}
> I collect the result the following way -
> {code:java}
> Encoder<MyClass> myClassEncoder = Encoders.bean(MyClass.class);
> Dataset<MyClass> results = raw_df.as(myClassEncoder);
> List<MyClass> lst = results.collectAsList();
> {code}
>
> I do several calculations to get the result I want and the result is correct
> all through the way before I collect it.
> This is the result for -
> {code:java}
> results.select(results.col("data").getField("2017-07-01").getField("startTime")).show(false);
> {code}
> |data[2017-07-01].startTime|data[2017-07-01].endTime|
> +-----------------------------+--------------+
> |1498854000 |1498870800 |
> This is the result after collecting the reuslts for -
> {code:java}
> MyClass userData = results.collectAsList().get(0);
> MyDTO userDTO = userData.getData().get("2017-07-01");
> System.out.println("userDTO startTime: " + userDTO.getStartTime());
> System.out.println("userDTO endTime: " + userDTO.getEndTime());
> {code}
> --
> data startTime: 1498870800
> data endTime: 1498854000
> I tend to believe it is a spark issue. Would love any suggestions on how to
> bypass it.
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