10-06-2022 01:36 AM
I'm facing the same issue as this post: https://community.databricks.com/s/question/0D58Y00009DE82zSAD/databricks-kafka-read-not-connecting
In my case I'm connecting to Confluent Cloud. I'm able to ping the bootstrap server, I'm able to netstat succesfully on the port 9092. But when I try to consume the data using a batch consumer (or stream, that doesn't matter), the log4j server logs get flooded with the message:
22/10/04 07:39:18 WARN NetworkClient: [Consumer clientId=Databricks, groupId=new_group2] Bootstrap broker pkc-75m1o.europe-west3.gcp.confluent.cloud:9092 (id: -1 rack: null) disconnected
userid = "<API Key>"
password = "<API Secret>"
host = "pkc-75m1o.europe-west3.gcp.confluent.cloud:9092"
topic = "topic_0"
sasl_mech = "PLAIN"
inputDF = spark \
.read \
.format("kafka") \
.option("kafka.bootstrap.servers", host) \
.option("ssl.endpoint.identification.algorithm", "https") \
.option("sasl.mechanism", sasl_mech) \
.option("security.protocol", "SASL_SSL") \
.option("sasl.jaas.config", "org.apache.kafka.common.security.plain.PlainLoginModule required username='{}' password='{}';".format(userid, password)) \
.option("subscribe", topic) \
.option("kafka.client.id", "Databricks") \
.option("kafka.group.id", "new_group2") \
.option("spark.streaming.kafka.maxRatePerPartition", "5") \
.option("startingOffsets", "earliest") \
.option("kafka.session.timeout.ms", "10000") \
.option("retry.backoff.ms", "1000") \
.option("value.deserializer", "ByteArrayDeserializer") \
.load()
display(inputDF)
10-07-2022 01:21 AM
Hi @Debayan Mukherjee , no I haven't.
But with the help of Confluent I changed the statement to the below, and somehow this solved it.
inputDF = (spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", host)
.option("kafka.ssl.endpoint.identification.algorithm", "https")
.option("kafka.sasl.mechanism", "PLAIN")
.option("kafka.security.protocol", "SASL_SSL")
.option("kafka.sasl.jaas.config", "kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule required username='{}' password='{}';".format(userid, password))
.option("subscribe", topic)
.option("kafka.client.id", "Databricks")
.option("kafka.group.id", "new_group2")
.option("spark.streaming.kafka.maxRatePerPartition", "5")
.option("startingOffsets", "earliest")
.option("kafka.session.timeout.ms", "10000")
.load() )
10-06-2022 11:40 PM
Hi @Sascha Zevenhuizen , have you enabled kerberos security on the settings by any chance?
10-07-2022 01:21 AM
Hi @Debayan Mukherjee , no I haven't.
But with the help of Confluent I changed the statement to the below, and somehow this solved it.
inputDF = (spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", host)
.option("kafka.ssl.endpoint.identification.algorithm", "https")
.option("kafka.sasl.mechanism", "PLAIN")
.option("kafka.security.protocol", "SASL_SSL")
.option("kafka.sasl.jaas.config", "kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule required username='{}' password='{}';".format(userid, password))
.option("subscribe", topic)
.option("kafka.client.id", "Databricks")
.option("kafka.group.id", "new_group2")
.option("spark.streaming.kafka.maxRatePerPartition", "5")
.option("startingOffsets", "earliest")
.option("kafka.session.timeout.ms", "10000")
.load() )
10-15-2022 03:01 AM
Hi @Kaniz Fatma , that was the thread I started my trouble-shooting with, and it's surely helpful!
10-15-2022 03:02 AM
Yeah ok!
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
Request a New Group