postgres-elasticsearch-fd VS spec

Compare postgres-elasticsearch-fd vs spec and see what are their differences.

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postgres-elasticsearch-fd spec
3 62
- 8,671
- 1.7%
- 0.0
- 4 months ago
- GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

postgres-elasticsearch-fd

Posts with mentions or reviews of postgres-elasticsearch-fd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-19.
  • Full-text search engine with PostgreSQL (part 2): Postgres vs. Elasticsearch
    3 projects | news.ycombinator.com | 19 Jul 2023
  • Postgres Full Text Search vs. the Rest
    21 projects | news.ycombinator.com | 14 Oct 2022
    My experience with Postgres FTS (did a comparison with Elastic a couple years back), is that filtering works fine and is speedy enough, but ranking crumbles when the resulting set is large.

    If you have a large-ish data set with lots of similar data (4M addresses and location names was the test case), Postgres FTS just doesn't perform.

    There is no index that helps scoring results. You would have to install an extension like RUM index (https://github.com/postgrespro/rum) to improve this, which may or may not be an option (often not if you use managed databases).

    If you want a best of both worlds, one could investigate this extensions (again, often not an option for managed databases): https://github.com/matthewfranglen/postgres-elasticsearch-fd...

    Either way, writing something that indexes your postgres database into elastic/opensearch is a one time investment that usually pays off in the long run.

  • Lesser Known PostgreSQL Features
    7 projects | news.ycombinator.com | 9 Nov 2021
    I used a foreign data wrapper to query elasticsearch indexes from within postgres.[0]

    It pushed alot of complexity down away from higher-level app developers not familiar with ES patterns.

    [0]: https://github.com/matthewfranglen/postgres-elasticsearch-fd...

spec

Posts with mentions or reviews of spec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-11.
  • The UX of UUIDs
    10 projects | news.ycombinator.com | 11 Apr 2024
    Can use ULID to "fix" some issues

    https://github.com/ulid/spec

  • Ulid: Universally Unique Lexicographically Sortable Identifier
    1 project | news.ycombinator.com | 30 Mar 2024
  • Ask HN: Is it acceptable to use a date as a primary key for a table in Postgres?
    1 project | news.ycombinator.com | 28 Dec 2023
    Both ULID and UUID v7 have a time code component which can be extracted.

    It would be best for indexing to store the actual value in binary, though not strictly necessary as these later UUID standards (unlike conventional UUIDs) use time code prefixes (so indexing clusters.)

    https://uuid7.com/

    https://github.com/ulid/spec

  • Bye Sequence, Hello UUIDv7
    8 projects | news.ycombinator.com | 1 Oct 2023
    UUIDv7 is a nice idea, and should probably be what people use by default instead of UUIDv4.

    For the curious:

    * UUIDv4 are 128 bits long, 122 bits of which are random, with 6 bits used for the version. Traditionally displayed as 32 hex characters with 4 dashes, so 36 alphanumeric characters, and compatible with anything that expects a UUID.

    * UUIDv7 are 128 bits long, 48 bits encode a unix timestamp with millisecond precision, 6 bits are for the version, and 74 bits are random. You're expected to display them the same as other UUIDs, and should be compatible with basically anything that expects a UUID. (Would be a very odd system that parses a UUID and throws an error because it doesn't recognise v7, but I guess it could happen, in theory?)

    * ULIDs (https://github.com/ulid/spec) are 128 bits long, 48 bits encode a unix timestamp with millisecond precision, 80 bits are random. You're expected to display them in Crockford's base32, so 26 alphanumeric characters. Compatible with almost everything that expects a UUID (since they're the right length). Spec has some dumb quirks if followed literally but thankfully they mostly don't hurt things.

    * KSUIDs (https://github.com/segmentio/ksuid) are 160 bits long, 32 bits encode a timestamp with second precision and a custom epoch of May 13th, 2014, and 128 bits are random. You're expected to display them in base62, so 27 alphanumeric characters. Since they're a different length, they're not compatible with UUIDs.

    I quite like KSUIDs; I think base62 is a smart choice. And while the timestamp portion is a trickier question, KSUIDs use 32 bits which, with second precision (more than good enough), means they won't overflow for well over a century. Whereas UUIDv7s use 48 bits, so even with millisecond precision (not needed) they won't overflow for something like 8000 years. We can argue whether 100 years us future proof enough (I'd argue it probably is), but 8000 years is just silly. Nobody will ever generate a compliant UUIDv7 with any of the first several bits aren't 0. The only downside to KSUIDs is the length isn't UUID compatible (and arguably, that they don't devote 6 bits to a compliant UUID version).

    Still feels like there's room for improvement, but for now I think I'd always pick UUIDv7 over UUIDv4 unless there's an very specific reason not to.

  • 50 years later, is Two-Phase Locking the best we can do?
    1 project | news.ycombinator.com | 30 Sep 2023
    I'd love for Postgres to adopt ULID as a first class variant of the same basic 128bit wide binary optimized column type they use for UUIDs, but I don't expect they will, while its "popular" its not likely popular enough to have support for them to maintain it in the long run... Also the smart money ahead of time would have been for the ULID spec to sacrifice a few data bits to leave the version specifying sections of the bit field layout unused in the ULID binary spec (https://github.com/ulid/spec#binary-layout-and-byte-order) for the sake of future compatibility with "proper" UUIDs... Performing one big bulk bitfield modification to a PostgreSQL column would have been much less painful than re-computing appropriate UUIDv7 (or UUIDv8s for some reason) and then having to perform a primary key update on every row in the table.
  • FLaNK Stack Weekly for 12 September 2023
    26 projects | dev.to | 12 Sep 2023
  • You Don't Need UUID
    13 projects | news.ycombinator.com | 11 Sep 2023
  • UUID Collision
    1 project | news.ycombinator.com | 15 Aug 2023
  • Type-safe, K-sortable, globally unique identifier inspired by Stripe IDs
    19 projects | news.ycombinator.com | 28 Jun 2023
    Many people had the same idea. For example ULID https://github.com/ulid/spec is more compact and stores the time so it is lexically ordered.
  • ULID: Universally Unique Lexicographically Sortable Identifier
    1 project | news.ycombinator.com | 26 Jun 2023

What are some alternatives?

When comparing postgres-elasticsearch-fd and spec you can also consider the following projects:

zombodb - Making Postgres and Elasticsearch work together like it's 2023

dynamodb-onetable - DynamoDB access and management for one table designs with NodeJS

postgres-elasticsearch-fdw - Postgres to Elastic Search Foreign Data Wrapper

uuid6-ietf-draft - Next Generation UUID Formats

ksuid - K-Sortable Globally Unique IDs

kuuid - K-sortable UUID - roughly time-sortable unique id generator

tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

python-ksuid - A pure-Python KSUID implementation

Searchkick - Intelligent search made easy

ulid-lite - Generate unique, yet sortable identifiers

tbls - tbls is a CI-Friendly tool for document a database, written in Go.

shortuuid.rb - Convert UUIDs & numbers into space efficient and URL-safe Base62 strings, or any other alphabet.