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https://issues.apache.org/jira/browse/SPARK-61038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61038:
-----------------------------------
Labels: pull-request-available (was: )
> Take the triggers of DataStreamWriter.trigger, including realTime, in the
> Python client as PySpark does
> -------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61038
> URL: https://issues.apache.org/jira/browse/SPARK-61038
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{df.writeStream.trigger(...)}} takes exactly one of
> {{processingTime}}, {{once}}, {{continuous}}, {{availableNow}} and
> {{realTime}}, and raises {{ONLY_ALLOW_SINGLE_TRIGGER}} for none or more than
> one. An interval or duration is a non-empty string, which it strips, else
> {{VALUE_NOT_NON_EMPTY_STR}}, and {{once}} and {{availableNow}} are {{True}},
> else {{VALUE_NOT_ALLOWED}}. {{trigger(realTime="5 seconds")}} sets the
> real-time trigger of the query, the {{real_time_batch_duration}} of its
> {{WriteStreamOperationStart}}.
> The Rust-backed Python client raises {{NotImplementedError: the realTime
> trigger is not yet supported by this client}} for {{realTime}}. It takes the
> first trigger of several, raises a plain {{ValueError}} for none and for
> {{once=False}}, and sends an empty or unstripped interval. Take the trigger
> as PySpark does.
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