zheap
zombodb
zheap | zombodb | |
---|---|---|
3 | 23 | |
88 | 4,608 | |
- | - | |
10.0 | 8.3 | |
over 3 years ago | 21 days ago | |
HTML | PLpgSQL | |
- | GNU General Public License v3.0 or later |
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zheap
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Tracking down high CPU Utilization on Amazon Aurora PostgreSQL
Hoping something like the zheap storage engine initiative should help us get past these bottlenecks in the future. Until then we may not be able to prevent the bloat but could certainly minimize the impact.
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Building an interface (even if there's only one implementation) is always right
Hey, OP here -- it is a bit odd and also possibly immature to be so harsh on MySQL apropos of nothing. That said, I intended more to be pro-Postgres rather than anti-MySQL (it's a great piece of software, other DBs and Postgres learn from it all the time, zheap[0] exists to replicate what they've built, for example).
I also have to admit that I definitely want postgres every time I see MySQL. Maybe I need to read more on just how easy and amazing MySQL can be. Links welcome!
[0]: https://cybertec-postgresql.github.io/zheap/
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Databases in 2021: A Year in Review
Postgres's dominance is well deserved, of course. My only concerns with it, both are actively worked on, are bloat management (significant for update heavy workloads and programmers used to the MySQL model of rollback segments) and the scaling of concurrency (going over 500 connections). Bloat was taken over by Cybertec[1] after stalling for a bit and is funded (yay), while concurrency was also enhanced out of Microsoft [2]. All in all, an excellent future for our beloved Postgres.
[1] https://github.com/cybertec-postgresql/zheap
zombodb
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Introducing pgzx: create PostgreSQL extensions using Zig
And lots of interesting extensions use it, like
https://github.com/tembo-io/pgmq
https://github.com/zombodb/zombodb
https://github.com/supabase/pg_jsonschema
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Create a search engine with PostgreSQL: Postgres vs Elasticsearch
Point 2 is generally solvable via engineering effort and careful dedicated code. From the existing tools, PGSync is an open source project that aims to specifically solve this problem. ZomboDB is an interesting Postgres extension that tackles point 2 (and I think partially point 3), by controlling and querying Elasticsearch through Postgres. I haven't yet tried either of these two projects, so I can't comment on their trade-offs, but I wanted to mention them.
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Creating an advanced search engine with PostgreSQL
Curious, did you try zombodb? [https://www.zombodb.com/]
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💃🏼 Quickwit 0.6 released!🕺🏼: Elasticsearch API compatibility, Grafana plugin, and more....
What about zombodb, do you think that quickwit has all the necessary APIs?
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Write Postgres functions in Rust
No. Haha. Was just the right name for https://github.com/zombodb/zombodb at the time. Software where the only limit is yourself!
- Integrate PostgreSQL and Elasticsearch – ZomboDB
- Postgres Full Text Search vs. the Rest
- ZomboDB: Making Postgres and Elasticsearch work together like it's 2022
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Postgres Full-Text Search: A Search Engine in a Database
> The hardest part of building any search engine is keeping the index up-to-date with changes made to the underlying data store.
This deserves mention, as it solves that problem: https://github.com/zombodb/zombodb
From the README:
> ZomboDB brings powerful text-search and analytics features to Postgres by using Elasticsearch as an index type. Its comprehensive query language and SQL functions enable new and creative ways to query your relational data.
> From a technical perspective, ZomboDB is a 100% native Postgres extension that implements Postgres' Index Access Method API. As a native Postgres index type, ZomboDB allows you to CREATE INDEX ... USING zombodb on your existing Postgres tables. At that point, ZomboDB takes over and fully manages the remote Elasticsearch index and guarantees transactionally-correct text-search query results.
I find other things also hard in search engines: dealing with the plethora of human languages and all the requirements we may have to processing them. A mature solution like ES therefor is almost a must in the more demanding cases.
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State of the art for serde-compatible CBOR encoding/decoding?
You can read more about it on our GitHub repo, but basically it brings most of the power of elasticsearch’s searching and analytics abilities straight into Postgres.
What are some alternatives?
sysbench - Scriptable database and system performance benchmark
pg_search - pg_search builds ActiveRecord named scopes that take advantage of PostgreSQL’s full text search
dbdb.io - The On-line Database of Databases
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
django-simple-history - Store model history and view/revert changes from admin site.
noria - Fast web applications through dynamic, partially-stateful dataflow
pev2 - Postgres Explain Visualizer 2
squawk - 🐘 linter for PostgreSQL, focused on migrations
clickhouse-operator - Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes
stolon - PostgreSQL cloud native High Availability and more.
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
helium-etl-queries - A collection of SQL views used to enrich data produced by a Helium blockchain-etl