Python Stream Kafka - Cannot see any stream data
0
Even after many tries I cannot see any message neither on the console nor written to file.
Below my code :
df = spark.readStream.format("kafka")
.option("kafka.bootstrap.servers","ipaddress:9092")
.option("subscribe","mysql-server-1.inventory.customers")
.option("partition.assignment.strategy", "range")
.option("startingOffsets", "latest")
.load()#.
df = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
print(df.printSchema())
print("Streaming : {}".format(df.isStreaming))
ds = df.writeStream
.format("kafka")
.option("kafka.bootstrap.servers", "ipaddress:9092")
.option("topic", "mysql-server-1.inventory.customers")
.option("checkpointLocation", "hdfs://ipaddress:9000/user/xxxx/check")
.start()
ds.awaitTermination()
Note :
- topic at writeStream already try use another name
- format at writeStream already try use console with append, update and complete. Also already try with parquet for write to file
- When print ds.lastProgress() get NoneType
python apache-spark pyspark apache-kafka spark-streaming
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
add a comment |
0
Even after many tries I cannot see any message neither on the console nor written to file.
Below my code :
df = spark.readStream.format("kafka")
.option("kafka.bootstrap.servers","ipaddress:9092")
.option("subscribe","mysql-server-1.inventory.customers")
.option("partition.assignment.strategy", "range")
.option("startingOffsets", "latest")
.load()#.
df = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
print(df.printSchema())
print("Streaming : {}".format(df.isStreaming))
ds = df.writeStream
.format("kafka")
.option("kafka.bootstrap.servers", "ipaddress:9092")
.option("topic", "mysql-server-1.inventory.customers")
.option("checkpointLocation", "hdfs://ipaddress:9000/user/xxxx/check")
.start()
ds.awaitTermination()
Note :
- topic at writeStream already try use another name
- format at writeStream already try use console with append, update and complete. Also already try with parquet for write to file
- When print ds.lastProgress() get NoneType
python apache-spark pyspark apache-kafka spark-streaming
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
1
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40
add a comment |
0
0
0
Even after many tries I cannot see any message neither on the console nor written to file.
Below my code :
df = spark.readStream.format("kafka")
.option("kafka.bootstrap.servers","ipaddress:9092")
.option("subscribe","mysql-server-1.inventory.customers")
.option("partition.assignment.strategy", "range")
.option("startingOffsets", "latest")
.load()#.
df = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
print(df.printSchema())
print("Streaming : {}".format(df.isStreaming))
ds = df.writeStream
.format("kafka")
.option("kafka.bootstrap.servers", "ipaddress:9092")
.option("topic", "mysql-server-1.inventory.customers")
.option("checkpointLocation", "hdfs://ipaddress:9000/user/xxxx/check")
.start()
ds.awaitTermination()
Note :
- topic at writeStream already try use another name
- format at writeStream already try use console with append, update and complete. Also already try with parquet for write to file
- When print ds.lastProgress() get NoneType
python apache-spark pyspark apache-kafka spark-streaming
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
Even after many tries I cannot see any message neither on the console nor written to file.
Below my code :
df = spark.readStream.format("kafka")
.option("kafka.bootstrap.servers","ipaddress:9092")
.option("subscribe","mysql-server-1.inventory.customers")
.option("partition.assignment.strategy", "range")
.option("startingOffsets", "latest")
.load()#.
df = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
print(df.printSchema())
print("Streaming : {}".format(df.isStreaming))
ds = df.writeStream
.format("kafka")
.option("kafka.bootstrap.servers", "ipaddress:9092")
.option("topic", "mysql-server-1.inventory.customers")
.option("checkpointLocation", "hdfs://ipaddress:9000/user/xxxx/check")
.start()
ds.awaitTermination()
Note :
- topic at writeStream already try use another name
- format at writeStream already try use console with append, update and complete. Also already try with parquet for write to file
- When print ds.lastProgress() get NoneType
python apache-spark pyspark apache-kafka spark-streaming
python apache-spark pyspark apache-kafka spark-streaming
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
edited Nov 16 '18 at 14:36
cricket_007
83.9k1147118
83.9k1147118
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
asked Nov 16 '18 at 11:23
Azda FirmansyahAzda Firmansyah
23111
23111
1
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40
add a comment |
1
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40
1
1
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40
add a comment |
0
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1
Kafka to Kafka? Why not use Kafka Streams for this?
– cricket_007
Nov 16 '18 at 14:36
And you definitely shouldn't produce back to the input topic, otherwise you get an infinite processing loop and can fill the kafka disks
– cricket_007
Nov 16 '18 at 14:39
@cricket_007, Thank you. Its work now
– Azda Firmansyah
Nov 19 '18 at 2:40