gaborgsomogyi commented on a change in pull request #23747: [SPARK-26848][SQL]
Introduce new option to Kafka source: offset by timestamp (starting/ending)
URL: https://github.com/apache/spark/pull/23747#discussion_r266380522
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File path: docs/structured-streaming-kafka-integration.md
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@@ -310,6 +310,27 @@ The following configurations are optional:
<table class="table">
<tr><th>Option</th><th>value</th><th>default</th><th>query
type</th><th>meaning</th></tr>
+<tr>
+ <td>startingOffsetsByTimestamp</td>
+ <td>json string
+ """ {"topicA":1000,"topicB":2000} """
+ </td>
+ <td>none (the value of `startingOffsets` will apply)</td>
+ <td>streaming and batch</td>
+ <td>The start point of timestamp when a query is started, a json string
specifying a starting timestamp for
+ each topic. The returned offset for each partition is the earliest offset
whose timestamp is greater than or
+ equal to the given timestamp in the corresponding partition. If the matched
offset doesn't exist,
+ the offset will be set to latest.<p/>
+ <p/>
+ Spark simply passes the timestamp information to
`KafkaConsumer.offsetForTimes`, and doesn't interpret or reason about the
value. <p/>
Review comment:
s/offsetForTimes/offsetsForTimes
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