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Posted to issues@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/11/15 19:27:00 UTC
[jira] [Work logged] (BEAM-5674)
DataflowRunner.Deduplicate/WithKeys cannot infer Coder for K when running
with experiment "enable_custom_pubsub_source"
[ https://issues.apache.org/jira/browse/BEAM-5674?focusedWorklogId=166607&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-166607 ]
ASF GitHub Bot logged work on BEAM-5674:
----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Nov/18 19:25
Start Date: 15/Nov/18 19:25
Worklog Time Spent: 10m
Work Description: rohdesamuel opened a new pull request #7054: [BEAM-5674] Add withKeyType to DataflowRunner.Deduplicate internals
URL: https://github.com/apache/beam/pull/7054
This fixes the attached JIRA by explicitly typing the key as integer.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 166607)
Time Spent: 10m
Remaining Estimate: 0h
> DataflowRunner.Deduplicate/WithKeys cannot infer Coder for K when running with experiment "enable_custom_pubsub_source"
> -----------------------------------------------------------------------------------------------------------------------
>
> Key: BEAM-5674
> URL: https://issues.apache.org/jira/browse/BEAM-5674
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow
> Affects Versions: 2.7.0
> Environment: OS: Linux 64bit,
> Platform: Dataflow
> Reporter: Duy Le
> Assignee: Sam Rohde
> Priority: Major
> Labels: easyfix, patch
> Time Spent: 10m
> Remaining Estimate: 0h
>
> *Bug*: DataflowRunner.Deduplicate/WithKeys cannot infer Coder for K when running with experiment "enable_custom_pubsub_source"
> *Steps*
> # Start a Beam pipeline with DataflowRunner using ExperimentalOptions."enable_custom_pubsub_source"
> # Observe the result when the pipeline is being constructed.
> *Actual*: An error thrown
> {color:#FF0000}Unable to return a default Coder for PubsubIO.Read/PubsubUnboundedSource/Read(PubsubSource)/DataflowRunner.Deduplicate/WithKeys/AddKeys/Map/ParMultiDo(Anonymous).output [PCollection]. Correct one of the following root causes:{color}
> {color:#FF0000} No Coder has been manually specified; you may do so using .setCoder().{color}
> {color:#FF0000} Inferring a Coder from the CoderRegistry failed: Cannot provide coder for parameterized type org.apache.beam.sdk.values.KV<K, V>: Unable to provide a Coder for K.{color}
> {color:#FF0000} Building a Coder using a registered CoderProvider failed.{color}
> *Expected*: The pipeline should be constructed successfully.
> *Root cause*:
> In
> {noformat}
> DataflowRunner.Deduplicate{noformat}
> transform, it applies
> {code:java}
> WithKeys.of(){code}
> transform to an input of *ValueWithRecordId* with a function in the style of Java 8 lambda.
>
>
> As the Javadoc states that:
>
> {code:java}
> If using a lambda in Java 8, {@link #withKeyType(TypeDescriptor)} must be called on the result {@link PTransform}{code}
>
> *Suggested Solution*:
> Since the lambda function returns a hashed code (_int_) of the
> {code:java}
> value.getId(){code}
> (_byte[]_), can we just use
> {code:java}
> withKeyType(TypeDescriptors.integers()){code}
> right after the
> {code:java}
> WithKeys.of(){code}
> method?
>
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