Re: [Question] How to use different filesystem between checkpoint data and user data sink

2019-12-18 Thread Piotr Nowojski 
Hi,

As Yang Wang pointed out, you should use the new plugins mechanism.

If it doesn’t work, first make sure that you are shipping/distributing the 
plugins jars correctly - the correct plugins directory structure both on the 
client machine. Next make sure that the cluster has the same correct setup. 
This is especially true for the standalone/cluster execution modes. For yarn, 
mesos, docker the plugins dir should be shipped to the cluster by Flink itself, 
however Plugins support in yarn is currently semi broken [1]. This is already 
fixed, but waiting to be released in 1.9.2 and 1.10.

If it still doesn’t work, look for TaskManager logs what plugins/file systems 
are being loaded during the startup. If none, that's the problem.

Piotrek

[1] https://issues.apache.org/jira/browse/FLINK-14382 


> On 18 Dec 2019, at 12:40, Yang Wang  wrote:
> 
> You could have a try the new plugin mechanism.
> Create a new directory named "myhdfs" under $FLINK_HOME/plugins, and then put 
> your filesystem related jars in it.
> Different plugins will be loaded by separate classloader to avoid conflict.
> 
> 
> Best,
> Yang
> 
> vino yang mailto:yanghua1...@gmail.com>> 
> 于2019年12月18日周三 下午6:46写道：
> Hi ouywl,
> 
> >>Thread.currentThread().getContextClassLoader();
> What does this statement mean in your program?
> 
> In addition, can you share your implementation of the customized file system 
> plugin and the related exception?
> 
> Best,
> Vino
> 
> ouywl mailto:ou...@139.com>> 于2019年12月18日周三 下午4:59写道：
> Hi all,
> We have implemented a filesystem plugin for sink data to hdfs1, and the 
> yarn for flink running is used hdfs2. So when the job running, the jobmanager 
> use the conf of hdfs1 to create filesystem, the filesystem plugin  is 
> conflict with flink component. 
> We implemeted step:
>   1.  ‘FileSystemEnhance’ is implement from “FileSystem”
>   2.  ‘FileSystemFactoryEnhance’ is implement from 
> “FileSystemFactory”,add kerberos auth in ”FileSystemFactoryEnhance" 
>   3. Add a service entry. Create a file 
> META-INF/services/org.apache.flink.core.fs.FileSystemFactory which contains 
> the class name of “ FileSystemFactoryEnhance.class”
> 
> And  the job mainclass is :
>“ public static void main(String[] args) throws Exception{
> StreamExecutionEnvironment env = 
> StreamExecutionEnvironment.getExecutionEnvironment();
> env.enableCheckpointing(60*1000);
> 
> env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
> 
> env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
> env.getConfig().enableSysoutLogging();
> 
> 
> Properties props = new Properties();
> props.put("bootstrap.servers", SERVERS);
> props.put("group.id ", GROUPID);
> props.put("enable.auto.commit", "true");
> // props.put("auto.commit.interval.ms ", 
> "1000");
> props.put("session.timeout.ms ", "3");
> props.put("auto.offset.reset", "latest");
> props.put("key.deserializer", 
> org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.deser.std.StringDeserializer.class.getName());
> props.put("value.deserializer", StringDeserializer.class.getName());
> FlinkKafkaConsumer010 consumer011 = new 
> FlinkKafkaConsumer010("zyf_test_2", new SimpleStringSchema(), props);
> DataStream source = env.addSource(consumer011).setParallelism(1);
> 
> source.print();
> Thread.currentThread().getContextClassLoader();
> 
> StreamingFileSink sink = StreamingFileSink
> .forRowFormat(new Path("hdfs://bdms-test/user/sloth/zyf"), new 
> SimpleStringEncoder<>("UTF-8"))
> .build();
> 
> source.addSink(sink);
> 
> env.execute();
> }”
> 
> And start the job, the jobmanager filesystem is error, the log means the 
> jobmananger use “FileSystemFactoryEnhance” filesystem and confict.
> 
> As the url 
> https://ci.apache.org/projects/flink/flink-docs-stable/ops/filesystems/#pluggable-file-systems
>  
> 
>  how to avoid use “Thread.currentThread().getContextClassLoader()"
> 
> 
>   
> ouywl
> ou...@139.com
>  
>

Re: [Question] How to use different filesystem between checkpoint data and user data sink

2019-12-18 Thread Yang Wang 
You could have a try the new plugin mechanism.
Create a new directory named "myhdfs" under $FLINK_HOME/plugins, and then
put your filesystem related jars in it.
Different plugins will be loaded by separate classloader to avoid conflict.


Best,
Yang

vino yang  于2019年12月18日周三 下午6:46写道：

> Hi ouywl,
>
> *>>Thread.currentThread().getContextClassLoader();*
>
> What does this statement mean in your program?
>
> In addition, can you share your implementation of the customized file
> system plugin and the related exception?
>
> Best,
> Vino
>
> ouywl  于2019年12月18日周三 下午4:59写道：
>
>> Hi all,
>> We have implemented a filesystem plugin for sink data to hdfs1, and
>> the yarn for flink running is used hdfs2. So when the job running, the
>> jobmanager use the conf of hdfs1 to create filesystem, the filesystem
>> plugin  is conflict with flink component.
>> We implemeted step:
>>   1.  ‘FileSystemEnhance’ is implement from “FileSystem”
>>   2.  ‘FileSystemFactoryEnhance’ is implement from 
>> “FileSystemFactory”,add
>> kerberos auth in ”FileSystemFactoryEnhance"
>>   3. Add a service entry. Create a file
>> META-INF/services/org.apache.flink.core.fs.FileSystemFactory which
>> contains the class name of “ FileSystemFactoryEnhance.class”
>>
>> And  the job mainclass is :
>>“ *public static void main(String[] args) throws Exception{*
>>
>> *StreamExecutionEnvironment env = 
>> StreamExecutionEnvironment.getExecutionEnvironment();*
>>
>>
>>
>>
>>
>>
>>
>>
>> *env.enableCheckpointing(60*1000);
>> env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
>> 
>> env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
>> env.getConfig().enableSysoutLogging();Properties props = new 
>> Properties();props.put("bootstrap.servers", SERVERS);
>> props.put("group.id ", GROUPID);
>> props.put("enable.auto.commit", "true");// 
>> props.put("auto.commit.interval.ms ", 
>> "1000");props.put("session.timeout.ms ", 
>> "3");props.put("auto.offset.reset", "latest");
>> props.put("key.deserializer", 
>> org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.deser.std.StringDeserializer.class.getName());
>> props.put("value.deserializer", StringDeserializer.class.getName());
>> FlinkKafkaConsumer010 consumer011 = new 
>> FlinkKafkaConsumer010("zyf_test_2", new SimpleStringSchema(), 
>> props);DataStream source = 
>> env.addSource(consumer011).setParallelism(1);source.print();
>> Thread.currentThread().getContextClassLoader();StreamingFileSink sink = 
>> StreamingFileSink.forRowFormat(new 
>> Path("hdfs://bdms-test/user/sloth/zyf"), new SimpleStringEncoder<>("UTF-8")) 
>>.build();source.addSink(sink);env.execute();}”And start 
>> the job, the jobmanager filesystem is error, the log means the jobmananger 
>> use “FileSystemFactoryEnhance” filesystem and confict.As the url 
>> https://ci.apache.org/projects/flink/flink-docs-stable/ops/filesystems/#pluggable-file-systems
>>  
>> 
>>  how to avoid use “Thread.currentThread().getContextClassLoader()"*
>>
>>
>> ouywl
>> ou...@139.com
>>
>> 
>>
>>

Re: [Question] How to use different filesystem between checkpoint data and user data sink

2019-12-18 Thread vino yang 
Hi ouywl,

*>>Thread.currentThread().getContextClassLoader();*

What does this statement mean in your program?

In addition, can you share your implementation of the customized file
system plugin and the related exception?

Best,
Vino

ouywl  于2019年12月18日周三 下午4:59写道：

> Hi all,
> We have implemented a filesystem plugin for sink data to hdfs1, and
> the yarn for flink running is used hdfs2. So when the job running, the
> jobmanager use the conf of hdfs1 to create filesystem, the filesystem
> plugin  is conflict with flink component.
> We implemeted step:
>   1.  ‘FileSystemEnhance’ is implement from “FileSystem”
>   2.  ‘FileSystemFactoryEnhance’ is implement from “FileSystemFactory”,add
> kerberos auth in ”FileSystemFactoryEnhance"
>   3. Add a service entry. Create a file
> META-INF/services/org.apache.flink.core.fs.FileSystemFactory which
> contains the class name of “ FileSystemFactoryEnhance.class”
>
> And  the job mainclass is :
>“ *public static void main(String[] args) throws Exception{*
>
> *StreamExecutionEnvironment env = 
> StreamExecutionEnvironment.getExecutionEnvironment();*
>
>
>
>
>
>
>
>
> *env.enableCheckpointing(60*1000);
> env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
> 
> env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
> env.getConfig().enableSysoutLogging();Properties props = new 
> Properties();props.put("bootstrap.servers", SERVERS);
> props.put("group.id ", GROUPID);
> props.put("enable.auto.commit", "true");// 
> props.put("auto.commit.interval.ms ", 
> "1000");props.put("session.timeout.ms ", 
> "3");props.put("auto.offset.reset", "latest");
> props.put("key.deserializer", 
> org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.deser.std.StringDeserializer.class.getName());
> props.put("value.deserializer", StringDeserializer.class.getName());
> FlinkKafkaConsumer010 consumer011 = new 
> FlinkKafkaConsumer010("zyf_test_2", new SimpleStringSchema(), props); 
>DataStream source = env.addSource(consumer011).setParallelism(1);  
>   source.print();Thread.currentThread().getContextClassLoader();
> StreamingFileSink sink = StreamingFileSink.forRowFormat(new 
> Path("hdfs://bdms-test/user/sloth/zyf"), new SimpleStringEncoder<>("UTF-8"))  
>   .build();source.addSink(sink);env.execute();}”And start the 
> job, the jobmanager filesystem is error, the log means the jobmananger use 
> “FileSystemFactoryEnhance” filesystem and confict.As the url 
> https://ci.apache.org/projects/flink/flink-docs-stable/ops/filesystems/#pluggable-file-systems
>  
> 
>  how to avoid use “Thread.currentThread().getContextClassLoader()"*
>
>
> ouywl
> ou...@139.com
>
> 
>
>

[Question] How to use different filesystem between checkpoint data and user data sink

2019-12-18 Thread ouywl 







Hi all,    We have implemented a filesystem plugin for sink data to hdfs1, and the yarn for flink running is used hdfs2. So when the job running, the jobmanager use the conf of hdfs1 to create filesystem, the filesystem plugin  is conflict with flink component.     We implemeted step:      1.  ‘FileSystemEnhance’ is implement from “FileSystem”      2.  ‘FileSystemFactoryEnhance’ is implement from “FileSystemFactory”,add kerberos auth in ”FileSystemFactoryEnhance"       3. Add a service entry. Create a file META-INF/services/org.apache.flink.core.fs.FileSystemFactory which contains the class name of “ FileSystemFactoryEnhance.class”And  the job mainclass is :   “ public static void main(String[] args) throws Exception{StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();env.enableCheckpointing(60*1000);env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);env.getConfig().enableSysoutLogging();Properties props = new Properties();props.put("bootstrap.servers", SERVERS);props.put("group.id", GROUPID);props.put("enable.auto.commit", "true");// props.put("auto.commit.interval.ms", "1000");props.put("session.timeout.ms", "3");props.put("auto.offset.reset", "latest");props.put("key.deserializer", org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.deser.std.StringDeserializer.class.getName());props.put("value.deserializer", StringDeserializer.class.getName());FlinkKafkaConsumer010 consumer011 = new FlinkKafkaConsumer010("zyf_test_2", new SimpleStringSchema(), props);DataStream source = env.addSource(consumer011).setParallelism(1);source.print();Thread.currentThread().getContextClassLoader();StreamingFileSink sink = StreamingFileSink.forRowFormat(new Path("hdfs://bdms-test/user/sloth/zyf"), new SimpleStringEncoder<>("UTF-8")).build();source.addSink(sink);env.execute();}”And start the job, the jobmanager filesystem is error, the log means the jobmananger use “FileSystemFactoryEnhance” filesystem and confict.As the url https://ci.apache.org/projects/flink/flink-docs-stable/ops/filesystems/#pluggable-file-systems how to avoid use “Thread.currentThread().getContextClassLoader()"






  










ouywl




ou...@139.com