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Posted to dev@predictionio.apache.org by "Mars Hall (JIRA)" <ji...@apache.org> on 2017/07/08 21:01:03 UTC

[jira] [Created] (PIO-102) ESEngineInstances `getAll` results out of order (Elasticsearch 5.x)

Mars Hall created PIO-102:
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             Summary: ESEngineInstances `getAll` results out of order (Elasticsearch 5.x)
                 Key: PIO-102
                 URL: https://issues.apache.org/jira/browse/PIO-102
             Project: PredictionIO
          Issue Type: Bug
          Components: Core
    Affects Versions: 0.11.0-incubating
            Reporter: Mars Hall
            Assignee: Mars Hall


Using the new Elasticsearch 5.x REST storage client as the meta storage source (`PIO_STORAGE_REPOSITORIES_METADATA_SOURCE=ELASTICSEARCH` setup in conf/pio-env.sh), I found that once an engine has been trained a certain number of times, that the most recent engine instance is no longer retrieved. So, I tracked down where those Elasticsearch queries originate.

In the original Elasticsearch 1.x storage client, [the "scroll" pagination responses are collected by *appending*|https://github.com/apache/incubator-predictionio/blob/release/0.11.0/storage/elasticsearch1/src/main/scala/org/apache/predictionio/data/storage/elasticsearch/ESUtils.scala#L44] them to one another.

In the new Elasticsearch 5.x client, [the "scroll" responses are collected by *prepending*|https://github.com/apache/incubator-predictionio/blob/release/0.11.0/storage/elasticsearch/src/main/scala/org/apache/predictionio/data/storage/elasticsearch/ESUtils.scala#L152] them to one another.

This out-of-order concatenation breaks [ESEngineInstances `getLatestCompleted`|https://github.com/apache/incubator-predictionio/blob/release/0.11.0/storage/elasticsearch/src/main/scala/org/apache/predictionio/data/storage/elasticsearch/ESEngineInstances.scala#L192] by erroneously replacing the head of the results with an older engine instance, when there are enough engine instances to overflow a single page of Elasticsearch hits.

I've observed this buggy behavior after ten trainings, when enough engine instances are stored to trigger Elasticsearch's scroll feature.

I'll be opening a pull request shortly with the super-simple fix.



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