Commit bd33001
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ch: Distributed Table Engine (#2997)
useful in conjunction with Replicated table engines
Replication is no longer stored on table mapping. Instead, peer has
replicated/distributed bools. Replicated will use Replicated table
engines. Specifying cluster name will adjust DDL to use `ON CLUSTER` &
put raw tables / destination tables behind Distributed table engine
There seems to be some issues with updates/deletes despite using
`parallel_distributed_insert_select=2`. But for append only use case
this seems to work. Adjusting raw table's sharding key to match
destination table's sharding key seems to alleviate this issue1 parent 53f6529 commit bd33001
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37 files changed
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lines changed- .github/workflows
- flow
- activities
- connectors
- bigquery
- clickhouse
- elasticsearch
- eventhub
- kafka
- postgres
- pubsub
- s3
- snowflake
- utils
- e2e
- api
- clickhouse
- generic
- mongo
- snowflake
- internal
- nexus
- analyzer/src
- flow-rs/src
- protos
- ui/app
- dto
- mirrors/create
- cdc
- peers/create/[peerType]/helpers
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