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Gustavo de Morais updated FLINK-37481: -------------------------------------- Description: We currently always rely on a chain of binary joins when there are multiple joins in a query. This can often generate a lot of intermediate state which considerably increases the state size - specially for regular joins. There are optimizations that can be done to a multi-way join operator that can optimize the worst case scenarios for binary joins. We want as a first step with this ticket to have a multi join operator that works on multiple inputs for regular joins. was: We currently always rely on a chain of binary joins when there are multiple joins in a query. There are optimizations that can be done to a multi way join operator that can optimize the worst case scenarios for binary joins. We want as a first step with this ticket to have a multi join operator that works on multiple inputs. > Multi way join operator > ----------------------- > > Key: FLINK-37481 > URL: https://issues.apache.org/jira/browse/FLINK-37481 > Project: Flink > Issue Type: New Feature > Reporter: Gustavo de Morais > Priority: Major > Labels: pull-request-available > > We currently always rely on a chain of binary joins when there are multiple > joins in a query. This can often generate a lot of intermediate state which > considerably increases the state size - specially for regular joins. There > are optimizations that can be done to a multi-way join operator that can > optimize the worst case scenarios for binary joins. > > We want as a first step with this ticket to have a multi join operator that > works on multiple inputs for regular joins. -- This message was sent by Atlassian Jira (v8.20.10#820010)