[jira] [Commented] (SPARK-18891) Support for specific collection types
[
https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16046169#comment-16046169
]
Wenchen Fan commented on SPARK-18891:
-
I'm resolving this ticket. The feature is finished, although there are still
some holes: java customer map, mixed scala and java types, and also a known bug
https://issues.apache.org/jira/browse/SPARK-19104 .
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Assignee: Michal Šenkýř
>Priority: Critical
> Fix For: 2.3.0
>
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16014529#comment-16014529
]
Michal Šenkýř commented on SPARK-18891:
---
I would also like to point out that the changes already introduced to master
through this issue add several implicit methods that probably won't be needed
if the current PR ([#18011|https://github.com/apache/spark/pull/18011]) solving
issue SPARK-19089 gets accepted. I would advise to resolve that PR before
release of the next version, otherwise we might need to leave those methods
there for backwards compatibility.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
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]
Apache Spark commented on SPARK-18891:
--
User 'michalsenkyr' has created a pull request for this issue:
https://github.com/apache/spark/pull/18009
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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]
Michal Šenkýř commented on SPARK-18891:
---
Changes in master only add support for Scala {{Seq}} subclasses.
There is also [PR #16986|https://github.com/apache/spark/pull/16986] which adds
support for Scala {{Map}} and Java {{Map}} subclasses, which is still open but
hasn't been reviewed. However, it doesn't fix SPARK-19104 which seems to be a
more complicated issue.
I also have code prepared to add support for Java {{List}} subclasses but
haven't created a PR on it yet.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
> Fix For: 2.2.0
>
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15994566#comment-15994566
]
Nils Grabbert commented on SPARK-18891:
---
This will not work on v2.2.0-rc1:
{code}
Seq((Map(1 -> (2,"abc")), List(3))).toDS
{code}
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
> Fix For: 2.2.0
>
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15992672#comment-15992672
]
Nils Grabbert commented on SPARK-18891:
---
Example in SPARK-19104 still not working.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
> Fix For: 2.2.0
>
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
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]
Takeshi Yamamuro commented on SPARK-18891:
--
I also checked `Vector` and `IndexedSeq` work.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
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]
Kazuaki Ishizaki commented on SPARK-18891:
--
I confirmed that that the latest master branch works for this program without
an exception.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
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]
Apache Spark commented on SPARK-18891:
--
User 'michalsenkyr' has created a pull request for this issue:
https://github.com/apache/spark/pull/16986
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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]
Michal Šenkýř commented on SPARK-18891:
---
Started my work on Map support as there is still no progress on the
optimization PR for Seq. I chose the builder approach as it seemed more
straightforward. I will keep the Map implementation seperate from the Seq one
to have it working even in case the Seq PR doesn't get approved.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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]
Michal Šenkýř commented on SPARK-18891:
---
Thanks. Yes, I know about the Maps issue and I will be happy to continue on to
Map support. However in [PR #16541|https://github.com/apache/spark/pull/16541]
I tried to use a better deserialization method. In order to make the code for
Maps consistent with that of Seqs I am waiting for how that turns out before I
start on that.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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]
Loic Descotte commented on SPARK-18891:
---
[~michalsenkyr] Nice PR!
Unfortunately, the issue is not limited to Seq, I have this issue with Map too
: https://issues.apache.org/jira/browse/SPARK-19434
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
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]
Michal Šenkýř commented on SPARK-18891:
---
I should also add, that {{Seq.toDS}} doesn't work only for non-Seq collections
containing case classes, so the example in the description actually works with
the proposed changes.
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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[jira] [Commented] (SPARK-18891) Support for specific collection types
[
https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15756842#comment-15756842
]
Michal Šenkýř commented on SPARK-18891:
---
[PR #16240|https://github.com/apache/spark/pull/16240] should be relevant. It
adds deserialization support for arbitrary sequence types (serialization was
already supported). The only thing not working yet is the {{Seq.toDS}} method
due to implicits resolution ({{SparkSession.createDataset}} works fine).
> Support for specific collection types
> -
>
> Key: SPARK-18891
> URL: https://issues.apache.org/jira/browse/SPARK-18891
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 1.6.3, 2.1.0
>Reporter: Michael Armbrust
>Priority: Critical
>
> Encoders treat all collections the same (i.e. {{Seq}} vs {{List}}) which
> force users to only define classes with the most generic type.
> An [example
> error|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1023043053387187/2398463439880241/2840265927289860/latest.html]:
> {code}
> case class SpecificCollection(aList: List[Int])
> Seq(SpecificCollection(1 :: Nil)).toDS().collect()
> {code}
> {code}
> java.lang.RuntimeException: Error while decoding:
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.commons.compiler.CompileException: File
> 'generated.java', Line 98, Column 120: No applicable constructor/method found
> for actual parameters "scala.collection.Seq"; candidates are:
> "line29e7e4b1e36445baa3505b2e102aa86b29.$read$$iw$$iw$$iw$$iw$SpecificCollection(scala.collection.immutable.List)"
> {code}
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