flink-connectors | Apache Flink connectors for Pravega | Stream Processing library
kandi X-RAY | flink-connectors Summary
kandi X-RAY | flink-connectors Summary
Flink connectors for Pravega is 100% open source and community-driven. All components are available under Apache 2 License on GitHub.
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Top functions reviewed by kandi - BETA
- Entry point for Pravega reader
- Emit and collect the event
- Triggers a checkpoint
- Determine the reader name based on the given TaskName and TaskName
- Gets the catalog
- Convert a schema into a ResolvedSchema
- Opens the serializer
- Converts a Flink Logical Type into a Json Schema String
- Returns a DecodingFormat instance for the given format options
- Creates Pravega configuration from table options
- Delete table
- Create a new table
- Writes an element
- Closes the PravegaTransactionWriter
- Writes a single record
- Returns the configured options
- Creates a hashCode instance for this range
- Writes an event
- Close pravega reader
- Provides the encoding format
- The default options for this Pravega catalog
- Opens the registry
- Closes the transaction
- Closes the PravegaReader
- Close Pravega
- Closes the PravegaEventWriter
flink-connectors Key Features
flink-connectors Examples and Code Snippets
Community Discussions
Trending Discussions on flink-connectors
QUESTION
I have a question regarding the new sourceSinks interface in Flink. I currently implement a new custom DynamicTableSinkFactory, DynamicTableSink, SinkFunction and OutputFormat. I use the JDBC Connector as an example and I use Scala.
All data that is fed into the sink has the type Row. So the OutputFormat serialisation is based on the Row Interface:
...ANSWER
Answered 2021-Jan-15 at 17:05You can obtain a converter instance in the Context provided in org.apache.flink.table.connector.sink.DynamicTableSink#getSinkRuntimeProvider.
QUESTION
(Apache Flink1.8 on AWS EMR release label 5.28.x)
Our data source is an AWS Kinesis stream (with 450 shards if that matters). We use the FlinkKinesisConsumer to read the kinesis stream. Our application occasionally (once every couple of days) crashes with a "Target server failed to respond" error. The full stack trace is at the bottom.
Looking more into the codebase I found out that 'ProvisionedThroughputExceededException' are the only exception types that are retried on. Code
1. Wondering why a transient http response exception is not retried by the kinesis connector?
2. Is there a way I can pass in a retry configuration that will retry on these errors?
As a side note, we set the following retry configuration -
...ANSWER
Answered 2020-Jul-03 at 07:19The restart strategy that you are configuring with env.setRestartStrategy() is about restarting the entire Flink job in case of a failure. It won't affect the Kinesis Connector in Flink.
The Kinesis consumer has the following configuration settings (as of 1.11) for changing the restart behavior:
QUESTION
Before calling execute on the StreamExecutionEnvironment and starting the stream job, is there a way to programmatically find out whether or not the job was restored from a savepoint? I need to know such information so that I can set the offset of a Kafka source depending on it while building the job graph.
It seems that the FlinkConnectorKafkaBase class which has a method initializeState has access to such information (code). However, there is no way to intercept the FunctionInitializationContext and retrieve the isRestored() value since initializeState is a final method. Also, the initializeState method gets called after the job graph is executed and so I don't think there is a feasible solution associated to it.
Another attempt I made was to find a Flink job parameter that indicates whether or not the job was started from a savepoint. However, I don't think such parameter exists.
...ANSWER
Answered 2019-Oct-15 at 15:59You can get the effect you are looking for by simply doing this:
QUESTION
I am trying to use this example to connect Nifi to Flink:
...ANSWER
Answered 2019-Jan-01 at 15:12After using the nifi-toolkit I removed the custom value of nifi.remote.input.socket.port and then added transportProtocol(SiteToSiteTransportProtocol.HTTP) to my SiteToSiteClientConfig and http://localhost:8080/nifi as the URL.
The reason why I changed the port in the first place is that without specifying the protocol HTTP it will use RAW by default.
And when using the RAW protocol from Flink side, the client cannot create Transaction and prints the following warning:
QUESTION
I intend to use apache flink for read/write data into cassandra using flink. I was hoping to use flink-connector-cassandra, I don't find good documentation/examples for the connector.
Can you please point me to the right way for read and write data from cassandra using Apache Flink. I see only sink example which are purely for write ? Is apache flink meant for reading data too from cassandra similar to apache spark ?
...ANSWER
Answered 2017-Mar-06 at 08:25You can use RichFlatMapFunction to extend a class
QUESTION
I need some help with transferring data from the output NiFi port to Flink using Scala code.
I'm stuck at .addSource() function. It asks for additional parameters ([OUT]) but when I provide them I keep getting an error. Scala code and the error message are below.
ANSWER
Answered 2017-Jul-18 at 10:15there is a special implementation of execution environment for scala
org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
just use it instead of org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
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