[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16819809#comment-16819809
]
Gabor Somogyi commented on SPARK-27409:
---
I mean does this cause any data processing issue other than the stack?
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> ...
> ...{code}
>
> Note
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16819473#comment-16819473
]
Prabhjot Singh Bharaj commented on SPARK-27409:
---
[~gsomogyi] I haven't tried it on master. I'm facing the problem with Spark
2.3.2
Here is a complete log -
{code:java}
➜ ~/spark ((HEAD detached at v2.3.2)) ✗ ./bin/pyspark --packages
org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2
Python 2.7.10 (default, Feb 22 2019, 21:17:52)
[GCC 4.2.1 Compatible Apple LLVM 10.0.1 (clang-1001.0.37.14)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Ivy Default Cache set to: //.ivy2/cache
The jars for the packages stored in: //.ivy2/jars
:: loading settings :: url =
jar:file://spark/assembly/target/scala-2.11/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
org.apache.spark#spark-sql-kafka-0-10_2.11 added as a dependency
:: resolving dependencies ::
org.apache.spark#spark-submit-parent-b75b99d4-ae39-49b0-b366-8b718542b4f8;1.0
confs: [default]
found org.apache.spark#spark-sql-kafka-0-10_2.11;2.3.2 in central
found org.apache.kafka#kafka-clients;0.10.0.1 in local-m2-cache
found net.jpountz.lz4#lz4;1.3.0 in local-m2-cache
found org.xerial.snappy#snappy-java;1.1.2.6 in local-m2-cache
found org.slf4j#slf4j-api;1.7.16 in spark-list
found org.spark-project.spark#unused;1.0.0 in local-m2-cache
:: resolution report :: resolve 1580ms :: artifacts dl 4ms
:: modules in use:
net.jpountz.lz4#lz4;1.3.0 from local-m2-cache in [default]
org.apache.kafka#kafka-clients;0.10.0.1 from local-m2-cache in [default]
org.apache.spark#spark-sql-kafka-0-10_2.11;2.3.2 from central in [default]
org.slf4j#slf4j-api;1.7.16 from spark-list in [default]
org.spark-project.spark#unused;1.0.0 from local-m2-cache in [default]
org.xerial.snappy#snappy-java;1.1.2.6 from local-m2-cache in [default]
-
| | modules || artifacts |
| conf | number| search|dwnlded|evicted|| number|dwnlded|
-
| default | 6 | 2 | 2 | 0 || 6 | 0 |
-
:: problems summary ::
ERRORS
unknown resolver null
unknown resolver null
:: USE VERBOSE OR DEBUG MESSAGE LEVEL FOR MORE DETAILS
:: retrieving ::
org.apache.spark#spark-submit-parent-b75b99d4-ae39-49b0-b366-8b718542b4f8
confs: [default]
0 artifacts copied, 6 already retrieved (0kB/6ms)
19/04/16 16:31:48 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
Welcome to
__
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.3.2
/_/
Using Python version 2.7.10 (default, Feb 22 2019 21:17:52)
SparkSession available as 'spark'.
>>> df = spark.readStream.format('kafka').option('kafka.bootstrap.servers',
>>> 'localhost:9093').option("kafka.security.protocol",
>>> "SSL",).option("kafka.ssl.keystore.password",
>>> "").option("kafka.ssl.keystore.type",
>>> "PKCS12").option("kafka.ssl.keystore.location",
>>> 'non-existent').option('subscribe', 'no existing topic').load()
Traceback (most recent call last):
File "", line 1, in
File "//spark/python/pyspark/sql/streaming.py", line 403, in load
return self._df(self._jreader.load())
File "//spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
line 1257, in __call__
File "//spark/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "//spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line
328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o37.load.
: org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:702)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:557)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:540)
at
org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
at
org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
at
org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
at
org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16818963#comment-16818963
]
Gabor Somogyi commented on SPARK-27409:
---
After I've modified the code the same way just like in scala case and checked
it with 2.3.2 pyspark here are my thoughts.
`trigger=continuous...` controls mainly the execution (MicroBatchExecution vs
ContinuousExecution). See the code
[here|https://github.com/apache/spark/blob/02b510728c31b70e6035ad541bfcdc2b59dcd79a/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala#L243]
This code is significantly re-written on master branch. Does this cause any
issue?
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16818882#comment-16818882
]
Gabor Somogyi commented on SPARK-27409:
---
[~pbharaj]
{quote}Yes, I'm following the kafka integration guide linked.{quote}
{code:java}
$ ./bin/pyspark
Python 2.7.10 (default, Aug 17 2018, 17:41:52)
[GCC 4.2.1 Compatible Apple LLVM 10.0.0 (clang-1000.0.42)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
19/04/16 12:24:02 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
Welcome to
__
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.3.2
/_/
Using Python version 2.7.10 (default, Aug 17 2018 17:41:52)
SparkSession available as 'spark'.
>>> df = sc.sql.readStream.format('kafka').option('kafka.bootstrap.servers',
>>> 'localhost:9093').option("kafka.security.protocol",
>>> "SSL",).option("kafka.ssl.keystore.password",
>>> "").option("kafka.ssl.keystore.type",
>>> "PKCS12").option("kafka.ssl.keystore.location",
>>> 'non-existent').option('subscribe', 'no existing topic').load()
Traceback (most recent call last):
File "", line 1, in
AttributeError: 'SparkContext' object has no attribute 'sql'
>>>
{code}
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
>
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16818070#comment-16818070
]
Prabhjot Singh Bharaj commented on SPARK-27409:
---
> "kafka.ssl.keystore.location", "non-existent"
This was set to test the flow.
> Why do you write "df = sc.sql.readStream..." (its just not working)
I'm doing this is pyspark, where I get the spark context.
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
>
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16818056#comment-16818056
]
Gabor Somogyi commented on SPARK-27409:
---
Are you really sure you've followed the following integration guide?
https://spark.apache.org/docs/2.3.2/structured-streaming-kafka-integration.html
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
>
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16818051#comment-16818051
]
Gabor Somogyi commented on SPARK-27409:
---
Don't know a couple of things in you code:
* Why do you set "kafka.ssl.keystore.location", "non-existent"?
* Why do you write "df = sc.sql.readStream..." (its just not working)
{code:java}
scala> sc.sql.readStream.format("kafka").option("kafka.bootstrap.servers",
"localhost:9093").option("kafka.security.protocol",
"SSL").option("kafka.ssl.keystore.password",
"").option("kafka.ssl.keystore.type",
"PKCS12").option("kafka.ssl.keystore.location",
"non-existent").option("subscribe", "no existing topic").load()
:25: error: value sql is not a member of org.apache.spark.SparkContext
sc.sql.readStream.format("kafka").option("kafka.bootstrap.servers",
"localhost:9093").option("kafka.security.protocol",
"SSL").option("kafka.ssl.keystore.password",
"").option("kafka.ssl.keystore.type",
"PKCS12").option("kafka.ssl.keystore.location",
"non-existent").option("subscribe", "no existing topic").load()
^
{code}
Seems like its working when I've executed the following:
{code:java}
scala> spark.readStream.format("kafka").option("kafka.bootstrap.servers",
"localhost:9093").option("kafka.security.protocol",
"SSL").option("kafka.ssl.keystore.password",
"").option("kafka.ssl.keystore.type",
"PKCS12").option("kafka.ssl.keystore.location",
"non-existent").option("subscribe", "no existing topic").load()
res0: org.apache.spark.sql.DataFrame = [key: binary, value: binary ... 5 more
fields]
scala> res0.writeStream.format("kafka").option("kafka.bootstrap.servers",
"localhost:9093").option("checkpointLocation", "/tmp").start()
res2: org.apache.spark.sql.streaming.StreamingQuery =
org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@389f4282
scala> 2019-04-15 17:04:03 WARN KafkaOffsetReader:87 - Error in attempt 1
getting Kafka offsets:
org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:799)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:615)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:596)
at
org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.consumer(KafkaOffsetReader.scala:85)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1$$anonfun$apply$9.apply(KafkaOffsetReader.scala:199)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1$$anonfun$apply$9.apply(KafkaOffsetReader.scala:197)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply$mcV$sp(KafkaOffsetReader.scala:288)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply(KafkaOffsetReader.scala:287)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply(KafkaOffsetReader.scala:287)
at
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt(KafkaOffsetReader.scala:286)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1.apply(KafkaOffsetReader.scala:197)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1.apply(KafkaOffsetReader.scala:197)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:255)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:196)
at
org.apache.spark.sql.kafka010.KafkaMicroBatchReader$$anonfun$getOrCreateInitialPartitionOffsets$1.apply(KafkaMicroBatchReader.scala:195)
at
org.apache.spark.sql.kafka010.KafkaMicroBatchReader$$anonfun$getOrCreateInitialPartitionOffsets$1.apply(KafkaMicroBatchReader.scala:190)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.kafka010.KafkaMicroBatchReader.getOrCreateInitialPartitionOffsets(KafkaMicroBatchReader.scala:190)
{code}
[~pbharaj] Have you tested it on master branch?
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16815491#comment-16815491
]
Prabhjot Singh Bharaj commented on SPARK-27409:
---
{code:java}
In [5]: df =
sc.sql.readStream.format('kafka').option('kafka.bootstrap.servers',
'localhost:9093').option("kafka.security.protocol", "SSL",)\
...: .option("kafka.ssl.keystore.password",
"").option("kafka.ssl.keystore.type",
"PKCS12").option("kafka.ssl.keystore.location",
'non-existent').option('subscribe', 'no existing topic').load()
2019-04-11 15:04:49.903 INFO ConsumerConfig: ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [localhost:9093]
check.crcs = true
client.id =
connections.max.idle.ms = 54
enable.auto.commit = false
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id =
spark-kafka-source-a944d4a9-0257-492a-88b4-bba9decebb28-876181411-driver-0
heartbeat.interval.ms = 3000
interceptor.classes = null
key.deserializer = class
org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 30
max.poll.records = 1
metadata.max.age.ms = 30
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 3
partition.assignment.strategy = [class
org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 6
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = SSL
send.buffer.bytes = 131072
session.timeout.ms = 1
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = non-existent
ssl.keystore.password = [hidden]
ssl.keystore.type = PKCS12
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class
org.apache.kafka.common.serialization.ByteArrayDeserializer
---
Py4JJavaError Traceback (most recent call last)
// in ()
> 1 df =
sc.sql.readStream.format('kafka').option('kafka.bootstrap.servers',
'localhost:9093').option("kafka.security.protocol",
"SSL",).option("kafka.ssl.keystore.password",
"").option("kafka.ssl.keystore.type",
"PKCS12").option("kafka.ssl.keystore.location",
'non-existent').option('subscribe', 'no existing topic').load()
//python/pyspark/sql/streaming.pyc in load(self, path, format,
schema, **options)
401 return self._df(self._jreader.load(path))
402 else:
--> 403 return self._df(self._jreader.load())
404
405 @since(2.0)
//python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in
__call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
//python/pyspark/sql/utils.pyc in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()
//python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in
get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o147.load.
: org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
at
org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
at
org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
at
org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
at
org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
at
org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
at
org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16814314#comment-16814314
]
Gabor Somogyi commented on SPARK-27409:
---
ping [~pbharaj]
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> ...
> ...{code}
>
> Note that I haven't selected `trigger=continuous...` when
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16813094#comment-16813094
]
Gabor Somogyi commented on SPARK-27409:
---
It would definitely help if you can provide your application code.
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> ...
> ...{code}
>
> Note that I
[jira] [Commented] (SPARK-27409) Micro-batch support for Kafka Source in Spark 2.3
[
https://issues.apache.org/jira/browse/SPARK-27409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16812991#comment-16812991
]
Shivu Sondur commented on SPARK-27409:
--
i am checking this
> Micro-batch support for Kafka Source in Spark 2.3
> -
>
> Key: SPARK-27409
> URL: https://issues.apache.org/jira/browse/SPARK-27409
> Project: Spark
> Issue Type: Question
> Components: Structured Streaming
>Affects Versions: 2.3.2
>Reporter: Prabhjot Singh Bharaj
>Priority: Major
>
> It seems with this change -
> [https://github.com/apache/spark/commit/0a441d2edb0a3f6c6c7c370db8917e1c07f211e7#diff-eeac5bdf3a1ecd7b9f8aaf10fff37f05R50]
> in Spark 2.3 for Kafka Source Provider, a Kafka source can not be run in
> micro-batch mode but only in continuous mode. Is that understanding correct ?
> {code:java}
> E Py4JJavaError: An error occurred while calling o217.load.
> E : org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:717)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:566)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:549)
> E at
> org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:314)
> E at
> org.apache.spark.sql.kafka010.KafkaOffsetReader.(KafkaOffsetReader.scala:78)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> E at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> E at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> E at java.lang.reflect.Method.invoke(Method.java:498)
> E at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> E at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> E at py4j.Gateway.invoke(Gateway.java:282)
> E at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> E at py4j.commands.CallCommand.execute(CallCommand.java:79)
> E at py4j.GatewayConnection.run(GatewayConnection.java:238)
> E at java.lang.Thread.run(Thread.java:748)
> E Caused by: org.apache.kafka.common.KafkaException:
> org.apache.kafka.common.KafkaException: java.io.FileNotFoundException:
> non-existent (No such file or directory)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:44)
> E at
> org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:93)
> E at
> org.apache.kafka.common.network.ChannelBuilders.clientChannelBuilder(ChannelBuilders.java:51)
> E at
> org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:84)
> E at
> org.apache.kafka.clients.consumer.KafkaConsumer.(KafkaConsumer.java:657)
> E ... 19 more
> E Caused by: org.apache.kafka.common.KafkaException:
> java.io.FileNotFoundException: non-existent (No such file or directory)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:121)
> E at
> org.apache.kafka.common.network.SslChannelBuilder.configure(SslChannelBuilder.java:41)
> E ... 23 more
> E Caused by: java.io.FileNotFoundException: non-existent (No such file or
> directory)
> E at java.io.FileInputStream.open0(Native Method)
> E at java.io.FileInputStream.open(FileInputStream.java:195)
> E at java.io.FileInputStream.(FileInputStream.java:138)
> E at java.io.FileInputStream.(FileInputStream.java:93)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.load(SslFactory.java:216)
> E at
> org.apache.kafka.common.security.ssl.SslFactory$SecurityStore.access$000(SslFactory.java:201)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.createSSLContext(SslFactory.java:137)
> E at
> org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:119)
> E ... 24 more{code}
> When running a simple data stream loader for kafka without an SSL cert, it
> goes through this code block -
>
> {code:java}
> ...
> ...
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:130)
> E at
> org.apache.spark.sql.kafka010.KafkaSourceProvider.createContinuousReader(KafkaSourceProvider.scala:43)
> E at
> org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:185)
> ...
> ...{code}
>
> Note that I haven't selected `trigger=continuous...` when
