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https://issues.apache.org/jira/browse/AIRFLOW-118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dan Davydov resolved AIRFLOW-118.
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Resolution: Fixed
> use targetPartitionSize as the default partition spec for HiveToDruidTransfer
> operator
> ---------------------------------------------------------------------------------------
>
> Key: AIRFLOW-118
> URL: https://issues.apache.org/jira/browse/AIRFLOW-118
> Project: Apache Airflow
> Issue Type: Improvement
> Components: operators
> Reporter: Hongbo Zeng
>
> The definition of the two partition spec can be found
> http://druid.io/docs/latest/ingestion/batch-ingestion.html.
> Originally, the HiveToDruidTransfer uses numShards. The disadvantage of that
> is users need to tune the numbers repeatedly, and do that again when the data
> size changes. This is not scalable as the number of data sources grows.
> targetPartitionSize approach calculates the number of segments automatically
> and is hassle free.
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