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How to keep a SQLContext instance alive in a spark streaming application's life cycle?

score 599 · Answer 1 · 2024-11-01 21:43:24

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How to keep a SQLContext instance alive in a spark streaming application's life cycle?

599 views Asked by zwb At 01 November 2024 at 21:43

score 9712 · Answer 2 · 2024-11-02 17:58:53

Getting java.lang.IllegalArgumentException: requirement failed while calling Sparks MLLIB StreamingKMeans from java application

9.7k views Asked by SeanB At 02 November 2024 at 17:58

score 143 · Answer 3 · 2024-10-25 15:30:07

Output shows "ResultSet" instead of value in Scala Spark

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score 624 · Answer 4 · 2024-10-25 15:29:08

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score 7529 · Answer 5 · 2024-10-25 15:29:38

HashMap as a Broadcast Variable in Spark Streaming?

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score 372 · Answer 6 · 2024-10-25 15:30:49

Parallel reduceByKeyAndWindow()s with different time values

372 views Asked by luke At 25 October 2024 at 15:30

score 4065 · Answer 7 · 2024-10-15 12:11:07

All masters are unresponsive ! ? Spark master is not responding with datastax architecture

4k views Asked by Rajkumar Cj At 15 October 2024 at 12:11

score 13395 · Answer 8 · 2024-10-25 15:27:52

How to find spark master URL on Amazon EMR

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score 54931 · Answer 9 · 2024-10-25 15:30:28

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score 341 · Answer 10 · 2024-10-28 04:48:58

Offsets for Kafka Direct Approach in Spark 1.3.1

341 views Asked by joebuild At 28 October 2024 at 04:48

TechQA.

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How to keep a SQLContext instance alive in a spark streaming application's life cycle?

Getting java.lang.IllegalArgumentException: requirement failed while calling Sparks MLLIB StreamingKMeans from java application

Output shows "ResultSet" instead of value in Scala Spark

Spark/Spark Streaming in production without HDFS

HashMap as a Broadcast Variable in Spark Streaming?

Parallel reduceByKeyAndWindow()s with different time values

All masters are unresponsive ! ? Spark master is not responding with datastax architecture

How to find spark master URL on Amazon EMR

How to optimize shuffle spill in Apache Spark application

Offsets for Kafka Direct Approach in Spark 1.3.1

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