GitHub user uce opened a pull request:
https://github.com/apache/flink/pull/2069
[FLINK-3872] [table, connector-kafka] Add KafkaJsonTableSource
Adds `StreamTableSource` variants for Kafka with syntactic sugar for
parsing JSON streams.
```java
KafkaJsonTableSource source = new Kafka08JsonTableSource(
topic,
props,
new String[] { "id" }, // field names
new Class<?>[] { Long.class }); // field types
tableEnvironment.registerTableSource("kafka-stream", source)
```
You can then continue to work with the stream:
```java
Table result = tableEnvironment.ingest("kafka-stream").filter("id > 1000");
tableEnvironment.toDataStream(result, Row.class).print();
```
**Limitations**
- Assumes flat JSON field access (we can easily extend this to use JSON
pointers, allowing us to parse nested fields like `/location/area` as field
names).
- This does not extract any timestamp or watermarks (not an issue right now
as the Table API currently does not support operations where this is needed).
- API is kind of cumbersome and non Scalaesque for the Scala Table API.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/uce/flink 3872-kafkajson_table
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/2069.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2069
----
commit 12ec6a594d23bd36bed1e07eeaba2aa75a768f67
Author: Ufuk Celebi <u...@apache.org>
Date: 2016-06-02T20:38:23Z
[FLINK-3872] [table, connector-kafka] Add JsonRowDeserializationSchema
- Adds a deserialization schema from byte[] to Row to be used in conjunction
with the Table API.
commit a8dc3aa7ab70a91b12af2adccbbed821bf25ecc9
Author: Ufuk Celebi <u...@apache.org>
Date: 2016-06-03T13:24:22Z
[FLINK-3872] [table, connector-kafka] Add KafkaTableSource
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