Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink.
Perform an interactive analysis of streaming data
You use a serverless notebook powered by Apache Zeppelin to interact with your streaming data. Your notebook can have multiple notes, and each note can have one or more paragraphs where you can write your code.
The following example SQL query shows how to retrieve data from a data source:
%flink.ssql(type=update) select * from stock;
For more examples of Flink Streaming SQL queries, see Examples and tutorials for Studio notebooks in Managed Service for Apache Flink following, and
Queries
You can use Flink SQL queries in the Studio notebook to query streaming data. You may also use Python (Table API) and Scala (Table and Datastream APIs) to write programs to query your streaming data interactively. You can view the results of your queries or programs, update them in seconds, and re-run them to view updated results.
Flink interpreters
You specify which language Managed Service for Apache Flink uses to run your application by using an interpreter. You can use the following interpreters with Managed Service for Apache Flink:
| Name | Class | Description |
|---|---|---|
| %flink | FlinkInterpreter | Creates ExecutionEnvironment/StreamExecutionEnvironment/BatchTableEnvironment/StreamTableEnvironment and provides a Scala environment |
| %flink.pyflink | PyFlinkInterpreter | Provides a python environment |
| %flink.ipyflink | IPyFlinkInterpreter | Provides an ipython environment |
| %flink.ssql | FlinkStreamSqlInterpreter | Provides a stream sql environment |
| %flink.bsql | FlinkBatchSqlInterpreter | Provides a batch sql environment |
For more information about Flink interpreters, see
Flink interpreter for Apache Zeppelin
If you are using %flink.pyflink or %flink.ipyflink as your interpreters, you will need to use the ZeppelinContext to visualize the results within the notebook.
For more PyFlink specific examples, see Query your data streams interactively using Managed Service for Apache Flink Studio and Python
Apache Flink table environment variables
Apache Zeppelin provides access to table environment resources using environment variables.
You access Scala table environment resources with the following variables:
| Variable | Resource |
|---|---|
senv | StreamExecutionEnvironment |
stenv | StreamTableEnvironment for blink planner |
You access Python table environment resources with the following variables:
| Variable | Resource |
|---|---|
s_env | StreamExecutionEnvironment |
st_env | StreamTableEnvironment for blink planner |
For more information about using table environments, see
Concepts and Common API
