Spark Streaming: Writing number of rows read from a Kafka topic
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Spark streaming job is reading events from a busy kafka topic. To get a sense of how much data is coming in per trigger interval, I want to just output count of rows read from the topic. I tried multiple ways of doing that but could not figure it out.
Dataset<Row> stream = sparkSession.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", kafkaBootstrapServersString)
.option("subscribe", topic)
.option("startingOffsets", "latest")
.option("enable.auto.commit", false)
// .option("failOnDataLoss", false)
// .option("maxOffsetsPerTrigger", 10000)
.load();
stream.selectExpr("topic").agg(count("topic")).as("count");
//stream.selectExpr("topic").groupBy("topic").agg(count(col("topic")).as("count"));
stream.writeStream()
.format("console")
.option("truncate", false)
.trigger(Trigger.ProcessingTime("10 seconds"))
.start();
java apache-spark apache-kafka spark-structured-streaming
edited Nov 9 at 16:07
cricket_007
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
add a comment |
up vote
1
down vote
favorite
Spark streaming job is reading events from a busy kafka topic. To get a sense of how much data is coming in per trigger interval, I want to just output count of rows read from the topic. I tried multiple ways of doing that but could not figure it out.
Dataset<Row> stream = sparkSession.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", kafkaBootstrapServersString)
.option("subscribe", topic)
.option("startingOffsets", "latest")
.option("enable.auto.commit", false)
// .option("failOnDataLoss", false)
// .option("maxOffsetsPerTrigger", 10000)
.load();
stream.selectExpr("topic").agg(count("topic")).as("count");
//stream.selectExpr("topic").groupBy("topic").agg(count(col("topic")).as("count"));
stream.writeStream()
.format("console")
.option("truncate", false)
.trigger(Trigger.ProcessingTime("10 seconds"))
.start();
java apache-spark apache-kafka spark-structured-streaming
edited Nov 9 at 16:07
cricket_007
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
1
stream.selectExprreturns a new Dataset, which you're ignoring, so it's just writing what is being consumed
– cricket_007
Nov 9 at 16:07
1
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
Spark streaming job is reading events from a busy kafka topic. To get a sense of how much data is coming in per trigger interval, I want to just output count of rows read from the topic. I tried multiple ways of doing that but could not figure it out.
Dataset<Row> stream = sparkSession.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", kafkaBootstrapServersString)
.option("subscribe", topic)
.option("startingOffsets", "latest")
.option("enable.auto.commit", false)
// .option("failOnDataLoss", false)
// .option("maxOffsetsPerTrigger", 10000)
.load();
stream.selectExpr("topic").agg(count("topic")).as("count");
//stream.selectExpr("topic").groupBy("topic").agg(count(col("topic")).as("count"));
stream.writeStream()
.format("console")
.option("truncate", false)
.trigger(Trigger.ProcessingTime("10 seconds"))
.start();
java apache-spark apache-kafka spark-structured-streaming
edited Nov 9 at 16:07
cricket_007
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
Spark streaming job is reading events from a busy kafka topic. To get a sense of how much data is coming in per trigger interval, I want to just output count of rows read from the topic. I tried multiple ways of doing that but could not figure it out.
Dataset<Row> stream = sparkSession.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", kafkaBootstrapServersString)
.option("subscribe", topic)
.option("startingOffsets", "latest")
.option("enable.auto.commit", false)
// .option("failOnDataLoss", false)
// .option("maxOffsetsPerTrigger", 10000)
.load();
stream.selectExpr("topic").agg(count("topic")).as("count");
//stream.selectExpr("topic").groupBy("topic").agg(count(col("topic")).as("count"));
stream.writeStream()
.format("console")
.option("truncate", false)
.trigger(Trigger.ProcessingTime("10 seconds"))
.start();
java apache-spark apache-kafka spark-structured-streaming
java apache-spark apache-kafka spark-structured-streaming
edited Nov 9 at 16:07
cricket_007
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
edited Nov 9 at 16:07
cricket_007
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
edited Nov 9 at 16:07
cricket_007
78.3k1142109
edited Nov 9 at 16:07
cricket_007
78.3k1142109
edited Nov 9 at 16:07
cricket_007
78.3k1142109
78.3k1142109
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
asked Nov 9 at 14:37
Himanshu Yadav
5,87733116219
5,87733116219
1
stream.selectExprreturns a new Dataset, which you're ignoring, so it's just writing what is being consumed
– cricket_007
Nov 9 at 16:07
1
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12
add a comment |
1
stream.selectExprreturns a new Dataset, which you're ignoring, so it's just writing what is being consumed
– cricket_007
Nov 9 at 16:07
1
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12
1
1
stream.selectExpr returns a new Dataset, which you're ignoring, so it's just writing what is being consumed– cricket_007
Nov 9 at 16:07
stream.selectExpr returns a new Dataset, which you're ignoring, so it's just writing what is being consumed– cricket_007
Nov 9 at 16:07
1
1
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12
add a comment |
1 Answer
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up vote
2
down vote
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Looks like you need
stream = stream.selectExpr("topic").agg(count("topic")).as("count");
And then you can print that
answered Nov 9 at 18:13
cricket_007
78.3k1142109
add a comment |
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
Looks like you need
stream = stream.selectExpr("topic").agg(count("topic")).as("count");
And then you can print that
answered Nov 9 at 18:13
cricket_007
78.3k1142109
add a comment |
up vote
2
down vote
accepted
Looks like you need
stream = stream.selectExpr("topic").agg(count("topic")).as("count");
And then you can print that
answered Nov 9 at 18:13
cricket_007
78.3k1142109
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
Looks like you need
stream = stream.selectExpr("topic").agg(count("topic")).as("count");
And then you can print that
answered Nov 9 at 18:13
cricket_007
78.3k1142109
Looks like you need
stream = stream.selectExpr("topic").agg(count("topic")).as("count");
And then you can print that
answered Nov 9 at 18:13
cricket_007
78.3k1142109
answered Nov 9 at 18:13
cricket_007
78.3k1142109
answered Nov 9 at 18:13
cricket_007
78.3k1142109
answered Nov 9 at 18:13
cricket_007
78.3k1142109
78.3k1142109
add a comment |
add a comment |
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1
stream.selectExprreturns a new Dataset, which you're ignoring, so it's just writing what is being consumed– cricket_007
Nov 9 at 16:07
1
Thank you very much. This fixed the issue. Somehow I missed it.
– Himanshu Yadav
Nov 9 at 17:12