How can I handle old data in the kafka topic?
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I start using spark structured streaming.
I get readStream from kafka topic (startOffset: latest)
with waterMark,
group by event time with window duration,
and write to kafka topic.
My question is,
How can I handle the data written to the kafka topic before spark structured streaming job?
I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)
1.
If I simply create a batch job and filter by specific data range.
the result is not reflected in the current state of spark streaming,
there seems to be a problem with the consistency and accuracy of the result.
- I tried to reset the checkpoint directory but It did not work.
How can I handle the old and large data?
Help me.
apache-spark spark-structured-streaming
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
add a comment |
I start using spark structured streaming.
I get readStream from kafka topic (startOffset: latest)
with waterMark,
group by event time with window duration,
and write to kafka topic.
My question is,
How can I handle the data written to the kafka topic before spark structured streaming job?
I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)
1.
If I simply create a batch job and filter by specific data range.
the result is not reflected in the current state of spark streaming,
there seems to be a problem with the consistency and accuracy of the result.
- I tried to reset the checkpoint directory but It did not work.
How can I handle the old and large data?
Help me.
apache-spark spark-structured-streaming
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
add a comment |
I start using spark structured streaming.
I get readStream from kafka topic (startOffset: latest)
with waterMark,
group by event time with window duration,
and write to kafka topic.
My question is,
How can I handle the data written to the kafka topic before spark structured streaming job?
I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)
1.
If I simply create a batch job and filter by specific data range.
the result is not reflected in the current state of spark streaming,
there seems to be a problem with the consistency and accuracy of the result.
- I tried to reset the checkpoint directory but It did not work.
How can I handle the old and large data?
Help me.
apache-spark spark-structured-streaming
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
I start using spark structured streaming.
I get readStream from kafka topic (startOffset: latest)
with waterMark,
group by event time with window duration,
and write to kafka topic.
My question is,
How can I handle the data written to the kafka topic before spark structured streaming job?
I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)
1.
If I simply create a batch job and filter by specific data range.
the result is not reflected in the current state of spark streaming,
there seems to be a problem with the consistency and accuracy of the result.
- I tried to reset the checkpoint directory but It did not work.
How can I handle the old and large data?
Help me.
apache-spark spark-structured-streaming
apache-spark spark-structured-streaming
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
edited Dec 3 '18 at 20:27
Jacek Laskowski
46.3k18138278
46.3k18138278
asked Nov 26 '18 at 14:40
soysoy
434
asked Nov 26 '18 at 14:40
soysoy
434
asked Nov 26 '18 at 14:40
soysoy
434
434
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.
Use:
sparkSession.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "test-name")
.option("startingOffsets", "earliest")
.option("maxOffsetsPerTrigger", 1)
.option("group.id", "2")
.option("auto.offset.reset", "earliest")
.load()
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
add a comment |
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1 Answer
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1 Answer
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active
oldest
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you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.
Use:
sparkSession.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "test-name")
.option("startingOffsets", "earliest")
.option("maxOffsetsPerTrigger", 1)
.option("group.id", "2")
.option("auto.offset.reset", "earliest")
.load()
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
add a comment |
you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.
Use:
sparkSession.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "test-name")
.option("startingOffsets", "earliest")
.option("maxOffsetsPerTrigger", 1)
.option("group.id", "2")
.option("auto.offset.reset", "earliest")
.load()
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
add a comment |
you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.
Use:
sparkSession.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "test-name")
.option("startingOffsets", "earliest")
.option("maxOffsetsPerTrigger", 1)
.option("group.id", "2")
.option("auto.offset.reset", "earliest")
.load()
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.
Use:
sparkSession.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "test-name")
.option("startingOffsets", "earliest")
.option("maxOffsetsPerTrigger", 1)
.option("group.id", "2")
.option("auto.offset.reset", "earliest")
.load()
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
answered Nov 27 '18 at 4:31
anuj saxenaanuj saxena
24917
24917
add a comment |
add a comment |
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