GENERATE STREAM DDL

Syntax

GENERATE STREAM DDL stream_name WITH (stream_parameter = value [, ...]);

Description

This command generates a CREATE DDL for STREAM from a given schema or data — for example, Data Store — that has corresponding Protocol Buffers and Descriptors. The command specially simplifies creating DDL for complex descriptors.

You can generate DDL if the current role has USAGE privileges on the Data Store.

Stream Parameters

Parameter Name	Description
stream_name	The name of the new stream.
topic	Name of the Kafka topic whose assigned data schema you're using (for Protobuf descriptor and Avro schema from SchemaRegistry). Required? Yes, for AVRO, PROTOBUF
value. format	AVRO, PROTOBUF, JSON Required? Yes.
key.format	AVRO, PROTOBUF, JSON Required? No.
data.json.value.content	A string containing one or more JSON objects separated by commas. It serves as a data sample you use to infer the schema of the value field in Kafka. Required? Required only for JSON
data.json.key.content	A string containing one or more JSON objects separated by commas. It serves as a data sample you used to infer the schema of the key in Kafka. Required? Required only for JSON
postgresql.table.name	Name of the source table in the POSTGRESQL store. Required: only for POSTGRESQL store. Type: String
postgresql.schema.name	Name of the schema in the POSTGRESQL store containing the source table. Required: only for POSTGRESQL store. Type: String
postgresql.db.name	Name of the database in the POSTGRESQL store containing the source table. Required: only for POSTGRESQL store. Type: String

Generating "Create Stream" DDL examples

Generate a "create stream" ddl for an entity in the current store, which includes a protobuf descriptor.

GENERATE STREAM DDL myStream with('topic'='pageviews_pb', 'value.format'='protobuf', 
'key.format'='protobuf');

The output would be:

CREATE STREAM myStream(
 "viewtime" BIGINT NOT NULL,
  "userid" VARCHAR NOT NULL,
  "pageid" VARCHAR NOT NULL
 ) WITH ('key.format'='protobuf', 'key.type'='STRUCT<"userid" VARCHAR>', 'topic'='pageviews_pb', 'value.format'='protobuf');

Generate a "create stream" ddl for an entity in the current store, which includes AVRO in the Confluent Schema Registry.

GENERATE STREAM DDL myStream with('topic'='pageviews_avro', 'value.format'='avro', 
'key.format'='avro');

The output would be:

CREATE STREAM myStream(
 "viewtime" BIGINT ,
  "userid" VARCHAR ,
  "pageid" VARCHAR 
) WITH ('key.format'='avro', 'key.type'='STRUCT<"userid" VARCHAR>', 'topic'='pageviews_avro', 'value.format'='avro');     

Generate a "create stream" ddl for an entity whose content is JSON.

GENERATE STREAM DDL myStream with ('value.format'='json', 'data.json.value.content'='{"viewtime":1629453600000,"userid":"user_123","pageid":"page_1"},{"viewtime":1629457200000,"userid":"user_456","pageid":"page_2"},{"viewtime":1629460800000,"userid":"user_789","pageid":"page_3"}' );

The output would be:

CREATE STREAM myStream(
 "viewtime" BIGINT,
  "userid" VARCHAR,
  "pageid" VARCHAR 
) WITH ('value.format'='json'); 

Generate a "create stream" ddl for a Postgres table in a CDC Pipeline

GENERATE STREAM DDL myStream with('value.format'='json', 'store'='pgStore', 'postgresql.table.name'='pgTb', 'postgresql.schema.name'='pgSchema', 'postgresql.db.name'='pgDb');

CREATE STREAM mystream( op VARCHAR,
 ts_ms BIGINT,
 "before" STRUCT<"id" BIGINT, "first_name" VARCHAR, "last_name" VARCHAR, "email" VARCHAR, "biography" VARCHAR>,
 "after" STRUCT<"id" BIGINT, "first_name" VARCHAR, "last_name" VARCHAR, "email" VARCHAR, "biography" VARCHAR>,
 "source" STRUCT<"db" VARCHAR, "schema" VARCHAR, "table" VARCHAR, "lsn" BIGINT> 
) WITH ('postgresql.db.name'='pgDb', 'postgresql.schema.name'='pgSchema', 'postgresql.table.name'='pgTb', 'store'='pgStore');