[SPARK-20037] impossible to set kafka offsets using kafka 0.10 and spark 2.0.0

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Duplicate
• Affects Version/s: 2.0.0
• Component/s: Input/Output
• Assignee: Unassigned
• Reporter: Daniel Nuriyev
• Created: 20/Mar/17 18:11
• Updated: 13/Apr/17 08:54
• Resolved: 13/Apr/17 08:54

Description

I use kafka 0.10.1 and java code with the following dependencies:
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.11</artifactId>
<version>0.10.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.10.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>2.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
<version>2.0.0</version>
</dependency>

The code tries to read the a topic starting with offsets.
The topic has 4 partitions that start somewhere before 585000 and end after 674000. So I wanted to read all partitions starting with 585000

fromOffsets.put(new TopicPartition(topic, 0), 585000L);
fromOffsets.put(new TopicPartition(topic, 1), 585000L);
fromOffsets.put(new TopicPartition(topic, 2), 585000L);
fromOffsets.put(new TopicPartition(topic, 3), 585000L);
Using 5 second batches:
jssc = new JavaStreamingContext(conf, Durations.seconds(5));

The code immediately throws:
Beginning offset 585000 is after the ending offset 584464 for topic commerce_item_expectation partition 1

It does not make sense because this topic/partition starts at 584464, not ends

I use this as a base: https://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html
But I use direct stream:
KafkaUtils.createDirectStream(jssc,LocationStrategies.PreferConsistent(),
ConsumerStrategies.<String, String>Subscribe(
topics, kafkaParams, fromOffsets
)
)

Issue Links

• duplicates: SPARK-20036 impossible to read a whole kafka topic using kafka 0.10 and spark 2.0.0