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Solve complex location problems from geofencing to custom routing
PlatformCloud environments for location-centric solution development, data exchange and visualization
Tracking & PositioningFast and accurate tracking and positioning of people and devices, indoors or outdoors
APIs & SDKsEasy to use, scaleable and flexible tools to get going quickly
Developer EcosystemsAccess Location Services on your favorite developer platform ecosystem
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Flink Connector
Flink Connector implements the standard Flink interfaces that allow you to create source Tables for reading, and sink Tables for writing to stream layers.
As a result, you can use both relational APIs that Flink supports: Table API and SQL. In addition, you can convert a Table to a DataStream and use the Flink DataStream API.
For information on how to build your app and which dependencies to use, see Dependencies for Stream Pipelines.
Supported Layer Types, Data Formats and Operations
| Layer Type | Protobuf | Avro | Parquet | Raw (octet-stream) | GeoJSON |
|---|---|---|---|---|---|
| Stream layer | Read, Write | not supported | not supported | Read, Write | not applicable |
| Index layer | Read, Write | Read, Write | Read, Write | Read, Write | not applicable |
| Versioned layer | Read | Read | Read | Read | not applicable |
| Volatile layer | Read, Write | Read, Write | Read, Write | Read, Write | not applicable |
| Interactive Map layer | not applicable | not applicable | not applicable | not applicable | Read, Write |
Configuration
For Flink connector configuration, see here.
Reading Data Continuously
Flink has got the ability to read data continuously from non-stream layers. For details, see here.
