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Fabian Hueske edited comment on FLINK-6473 at 3/23/18 7:52 AM: --------------------------------------------------------------- [~fhueske] Wondering before this feature is implemented, how could I implement aggregation function for incremental window? For example, I want to calculate an average of price from the beginning to today for each day for a batch table. {code} SELECT productId, AVG(price) OVER( PARTITION BY productId ROWS BETWEEN PRECEDING UNBOUNDED AND CURRENT ROW ) FROM product {code} was (Author: yinhua): [~fhueske] Wondering before this feature is implemented, how could I implement aggregation function for incremental window? For example, I want to calculate an average of price from the beginning to today for each day for a batch table. SELECT productId, AVG(price) OVER( PARTITION BY productId ROWS BETWEEN PRECEDING UNBOUNDED AND CURRENT ROW ) FROM product > Add OVER window support for batch tables > ---------------------------------------- > > Key: FLINK-6473 > URL: https://issues.apache.org/jira/browse/FLINK-6473 > Project: Flink > Issue Type: New Feature > Components: Table API & SQL > Reporter: Fabian Hueske > Priority: Major > > Add support for OVER windows for batch tables. > Since OVER windows are supported for streaming tables, this issue is not > about the API (which is available) but about adding the execution strategies > and translation for OVER windows on batch tables. -- This message was sent by Atlassian JIRA (v7.6.3#76005)