System-generated name, unless you provide an alias in the projection,Īnd the key matches the type and contents of the result of the expression. If the GROUP BY is any other expression, the primary key has a Name, type, and contents of the STRUCT field.ģ. STRUCT-type column, the corresponding primary key column matches the If the grouping expression is a reference to a field within a ![]() If the grouping expression is a single source-column reference, theĬorresponding primary key column matches the name, type, and contentsĢ. If the query has a GROUP BY clause, the resulting number of primary keyĬolumns matches the number of grouping expressions. The primary key of the resulting table is determined by the following rules, To change the partition count, you must drop the table and create it again. Once a table is created, you can't change the number of partitions.Partitioning streams and tables is especially important for stateful or otherwise.Push queries stayĪlive to capture streaming changes. Pull queries terminate in a traditional relational manner. Push, can fetch materialized view data from a table. Materialized views keep only the aggregation, so the full history of viewĬhanges is stored in a changelog topic, which you can replay later to restoreīoth of ksqlDB's two kinds of queries, pull and ![]() Queries against materialized views are fast, and ksqlDB ensures that a key's KsqlDB enables a materialized view, which is a table that maintains running,Īggregate calculations that are updated incrementally as new data rows arrive. Sink topic, and stream the result of the query as a changelog into the topic. Transforming columns with structured dataĬonfigure ksqlDB for Avro, Protobuf, and JSON schemasĬREATE TABLE table_name )] AS SELECT select_expr FROM from_item JOIN ON join_criteria ] * Ĭreate a new materialized table view with a corresponding new Kafka
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