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docs/structured-streaming-kafka-integration.md

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@@ -532,7 +532,7 @@ The returned offset for each partition is the earliest offset whose timestamp is
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The behavior varies across options if Kafka doesn't return the matched offset - check the description of each option.
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Spark simply passes the timestamp information to <code>KafkaConsumer.offsetsForTimes</code>, and doesn't interpret or reason about the value.
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For more details on <code>KafkaConsumer.offsetsForTimes</code>, please refer <a href="https://kafka.apache.org/21/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#offsetsForTimes-java.util.Map-">javadoc</a> for details.
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For more details on <code>KafkaConsumer.offsetsForTimes</code>, please refer <a href="http://kafka.apache.org/0101/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#offsetsForTimes(java.util.Map)">javadoc</a> for details.
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Also, the meaning of <code>timestamp</code> here can be vary according to Kafka configuration (<code>log.message.timestamp.type</code>): please refer <a href="https://kafka.apache.org/documentation/">Kafka documentation</a> for further details.
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Timestamp offset options require Kafka 0.10.1.0 or higher.

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