Getting data frame form kafka using spark streaming

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Hi I am new to spark thing. I have a use case of getting stream of data from kafka topics in windowed manner and then do analysis on top of it.
I tried below code and it is throwing error:

from pyspark.sql import SparkSession



spark=SparkSession.builder.appName("TestKakfa").getOrCreate()



df = spark 

  .readStream 

  .format("kafka") 

  .option("kafka.bootstrap.servers", "localhost:9092") 

  .option("subscribe", "dummy_events") 

  .option("startingOffsets", "earliest") 

  .load()





query = df.writeStream.format('console').start()

query.awaitTermination()

I am getting below error:

pyspark.sql.utils.StreamingQueryException: 'nulln=== Streaming Query ===nIdentifier: [id = b842e3ba-8584-4764-8068-cce6b8d7de5f, runId = edc960c5-e5ef-4493-b9a2-c9543e1d2a8d]nCurrent Committed Offsets: {}nCurrent Available Offsets: {}nnCurrent State: INITIALIZINGnThread State: RUNNABLE'

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

Which spark version? Which Kafka version? Which Spark Streaming Kafka version?
– cricket_007
Nov 14 at 16:16

Spark version: 2.3.1 Kafka Version: confluent-5.0.0 Spark Streaming Kafka Version: spark-streaming-kafka-0-8_2.11:2.3.0
– Raghav salotra
Nov 15 at 6:58

So, Kafka 2.0... But you're using the wrong library for structured streaming, and make sure that the last 3 numbers matches the Spark version spark.apache.org/docs/2.3.1/…
– cricket_007
Nov 15 at 7:06

@cricket_007 Thanks. fixed that issue.
– Raghav salotra
Nov 22 at 12:19

Feel free to answer the question below with your solution in case it helps others
– cricket_007
Nov 22 at 17:02

add a comment |

up vote
0
down vote

favorite

Hi I am new to spark thing. I have a use case of getting stream of data from kafka topics in windowed manner and then do analysis on top of it.
I tried below code and it is throwing error:

from pyspark.sql import SparkSession



spark=SparkSession.builder.appName("TestKakfa").getOrCreate()



df = spark 

  .readStream 

  .format("kafka") 

  .option("kafka.bootstrap.servers", "localhost:9092") 

  .option("subscribe", "dummy_events") 

  .option("startingOffsets", "earliest") 

  .load()





query = df.writeStream.format('console').start()

query.awaitTermination()

I am getting below error:

pyspark.sql.utils.StreamingQueryException: 'nulln=== Streaming Query ===nIdentifier: [id = b842e3ba-8584-4764-8068-cce6b8d7de5f, runId = edc960c5-e5ef-4493-b9a2-c9543e1d2a8d]nCurrent Committed Offsets: {}nCurrent Available Offsets: {}nnCurrent State: INITIALIZINGnThread State: RUNNABLE'

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

Which spark version? Which Kafka version? Which Spark Streaming Kafka version?
– cricket_007
Nov 14 at 16:16

Spark version: 2.3.1 Kafka Version: confluent-5.0.0 Spark Streaming Kafka Version: spark-streaming-kafka-0-8_2.11:2.3.0
– Raghav salotra
Nov 15 at 6:58

So, Kafka 2.0... But you're using the wrong library for structured streaming, and make sure that the last 3 numbers matches the Spark version spark.apache.org/docs/2.3.1/…
– cricket_007
Nov 15 at 7:06

@cricket_007 Thanks. fixed that issue.
– Raghav salotra
Nov 22 at 12:19

Feel free to answer the question below with your solution in case it helps others
– cricket_007
Nov 22 at 17:02

add a comment |

up vote
0
down vote

favorite

Hi I am new to spark thing. I have a use case of getting stream of data from kafka topics in windowed manner and then do analysis on top of it.
I tried below code and it is throwing error:

from pyspark.sql import SparkSession



spark=SparkSession.builder.appName("TestKakfa").getOrCreate()



df = spark 

  .readStream 

  .format("kafka") 

  .option("kafka.bootstrap.servers", "localhost:9092") 

  .option("subscribe", "dummy_events") 

  .option("startingOffsets", "earliest") 

  .load()





query = df.writeStream.format('console').start()

query.awaitTermination()

I am getting below error:

pyspark.sql.utils.StreamingQueryException: 'nulln=== Streaming Query ===nIdentifier: [id = b842e3ba-8584-4764-8068-cce6b8d7de5f, runId = edc960c5-e5ef-4493-b9a2-c9543e1d2a8d]nCurrent Committed Offsets: {}nCurrent Available Offsets: {}nnCurrent State: INITIALIZINGnThread State: RUNNABLE'

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

Hi I am new to spark thing. I have a use case of getting stream of data from kafka topics in windowed manner and then do analysis on top of it.
I tried below code and it is throwing error:

from pyspark.sql import SparkSession



spark=SparkSession.builder.appName("TestKakfa").getOrCreate()



df = spark 

  .readStream 

  .format("kafka") 

  .option("kafka.bootstrap.servers", "localhost:9092") 

  .option("subscribe", "dummy_events") 

  .option("startingOffsets", "earliest") 

  .load()





query = df.writeStream.format('console').start()

query.awaitTermination()

I am getting below error:

pyspark.sql.utils.StreamingQueryException: 'nulln=== Streaming Query ===nIdentifier: [id = b842e3ba-8584-4764-8068-cce6b8d7de5f, runId = edc960c5-e5ef-4493-b9a2-c9543e1d2a8d]nCurrent Committed Offsets: {}nCurrent Available Offsets: {}nnCurrent State: INITIALIZINGnThread State: RUNNABLE'

python apache-spark pyspark apache-kafka spark-structured-streaming

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

edited Nov 14 at 16:14

cricket_007

78k1142108

edited Nov 14 at 16:14

cricket_007

78k1142108

edited Nov 14 at 16:14

cricket_007

78k1142108

asked Nov 14 at 14:00

Raghav salotra

308212

asked Nov 14 at 14:00

Raghav salotra

308212

asked Nov 14 at 14:00

Raghav salotra

308212

Which spark version? Which Kafka version? Which Spark Streaming Kafka version?
– cricket_007
Nov 14 at 16:16

Spark version: 2.3.1 Kafka Version: confluent-5.0.0 Spark Streaming Kafka Version: spark-streaming-kafka-0-8_2.11:2.3.0
– Raghav salotra
Nov 15 at 6:58

So, Kafka 2.0... But you're using the wrong library for structured streaming, and make sure that the last 3 numbers matches the Spark version spark.apache.org/docs/2.3.1/…
– cricket_007
Nov 15 at 7:06

@cricket_007 Thanks. fixed that issue.
– Raghav salotra
Nov 22 at 12:19

Feel free to answer the question below with your solution in case it helps others
– cricket_007
Nov 22 at 17:02

add a comment |

Which spark version? Which Kafka version? Which Spark Streaming Kafka version?
– cricket_007
Nov 14 at 16:16

Spark version: 2.3.1 Kafka Version: confluent-5.0.0 Spark Streaming Kafka Version: spark-streaming-kafka-0-8_2.11:2.3.0
– Raghav salotra
Nov 15 at 6:58

So, Kafka 2.0... But you're using the wrong library for structured streaming, and make sure that the last 3 numbers matches the Spark version spark.apache.org/docs/2.3.1/…
– cricket_007
Nov 15 at 7:06

@cricket_007 Thanks. fixed that issue.
– Raghav salotra
Nov 22 at 12:19

Feel free to answer the question below with your solution in case it helps others
– cricket_007
Nov 22 at 17:02

Which spark version? Which Kafka version? Which Spark Streaming Kafka version?
– cricket_007
Nov 14 at 16:16

Spark version: 2.3.1 Kafka Version: confluent-5.0.0 Spark Streaming Kafka Version: spark-streaming-kafka-0-8_2.11:2.3.0
– Raghav salotra
Nov 15 at 6:58

So, Kafka 2.0... But you're using the wrong library for structured streaming, and make sure that the last 3 numbers matches the Spark version spark.apache.org/docs/2.3.1/…
– cricket_007
Nov 15 at 7:06

@cricket_007 Thanks. fixed that issue.
– Raghav salotra
Nov 22 at 12:19

Feel free to answer the question below with your solution in case it helps others
– cricket_007
Nov 22 at 17:02

add a comment |

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