ksql
ksql | mssql-changefeed | |
---|---|---|
4 | 4 | |
5,819 | 14 | |
0.4% | - | |
10.0 | 6.6 | |
6 days ago | 5 months ago | |
Java | Go | |
GNU General Public License v3.0 or later | MIT License |
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ksql
- Supercharge your Kafka Clusters with Consumer Best Practices
- The Next Generation of Materialize
- PranaDB
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Stream processing with sql and a nice gui? Alternatives to lenses.io?
Yeah, itβs community license β https://github.com/confluentinc/ksql/blob/master/LICENSE-ConfluentCommunity
mssql-changefeed
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How to Listen to Database Changes Using Postgres Triggers in Elixir
We made mssql-changefeed for this purpose:
https://github.com/vippsas/mssql-changefeed
V1 requires to run a sweeper procedure in the background, but an upcoming v2 version does without the sweep loop. Unfortunately too fresh for readme to be updated, but relevant lines in tests to show it off:
https://github.com/vippsas/mssql-changefeed/blob/v1-lazy/go/...
https://github.com/vippsas/mssql-changefeed/blob/v1-lazy/go/...
https://github.com/vippsas/mssql-changefeed/blob/v1-lazy/go/...
Library itself:
https://github.com/vippsas/mssql-changefeed/blob/v1-lazy/mig...
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Push-Based Outbox Pattern with Postgres Logical Replication
Not OP, but there is an approach here of using a dedicated loop worker to assign post-commit ID sequence. I.e. using the outbox pattern once, simply to assign a post-commit ID.
https://github.com/vippsas/mssql-changefeed/blob/main/MOTIVA...
I wish DBs had this more built in, it seems a critical feature of a DB these days and the commit log already have very similar sequence numbers internally...
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The Next Generation of Materialize
We do something similar, but in 2), instead of using the outbox pattern, we make use (in several different settings) of integers that are guaranteed to increment in commit order, then each consumer can track where their cursor is on the feed of changes. This requires some more coordination but it means that publishers of changes don't need one outbox per consumer or similar.
Then you can have "processes" that query for new data in an input table, and update aggregates/derived tables from that simply by "select * ... where ChangeSequenceNumber > @MaxSequenceNumberFromPreviousExecution"...
The idea here implemented for Microsoft SQL for the OLTP case:
https://github.com/vippsas/mssql-changefeed
What are some alternatives?
kafka-connect-elasticsearch - Kafka Connect Elasticsearch connector
marmot - A distributed SQLite replicator built on top of NATS
kpow-streams-agent - Monitor Kafka Streams applications with Kpow
supavisor - A cloud-native, multi-tenant Postgres connection pooler.
risingwave - SQL stream processing, analytics, and management. PostgreSQL simplicity, unrivaled performance, and seamless elasticity. π 10x more productive. π 10x more cost-efficient.
pgcat - PostgreSQL pooler with sharding, load balancing and failover support.
pranadb
zeroeventhub
kafka-connect-file-pulse - π A multipurpose Kafka Connect connector that makes it easy to parse, transform and stream any file, in any format, into Apache Kafka
rust-postgres - Native PostgreSQL driver for the Rust programming language
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
postgrex_pubsub - A helper to turn postgres mutations into a pubsub channel