otj-pg-embedded
cq
| otj-pg-embedded | cq | |
|---|---|---|
| 6 | 2 | |
| 666 | 167 | |
| 0.2% | - | |
| 6.4 | 0.0 | |
| 14 days ago | over 4 years ago | |
| Java | Shell | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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otj-pg-embedded
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Testcontainers
Anyone have an opinion of embedded-postgres vs https://github.com/opentable/otj-pg-embedded (of which its a fork) for Clojure use?
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What's the best approach for creating an embedded Postgresql to be used in production?
Can you elaborate a bit on this part? I'm still unsure why it's unadvised to do this, as I understood from other commenters it's because there is no official support for it correct? Why can't I use opentable for instance? https://github.com/opentable/otj-pg-embedded
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SQLite Is Dynamically Typed (2020)
It's pretty easy to run embedded postgres on the JVM: https://github.com/opentable/otj-pg-embedded
The defaults create a temporary DB which is useful for dev & tests, but a pair of calls to .setCleanDataDirectory(false) and .setDataDirectory("...") will change that.
If you don't like the default postgres version, you may select one from https://search.maven.org/search?q=io.zonky.test.postgres or include your own postgres binary.
- Experiment: using PostgreSQL as a user process
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Pg_tmp – Run tests on an isolated, temporary PostgreSQL database
I've been using this embedded PostgreSQL thing for tests:
https://github.com/opentable/otj-pg-embedded
It's very simple to use and works perfectly. The one problem, and it's a significant one, is that it only ships one version of PostgreSQL, and adding another was difficult enough that I didn't.
cq
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SQLite Is Dynamically Typed (2020)
It seems beneficial for my case.
I have a light wrapper around SQLite called cq[1], to make querying CSVs with SQL more convenient. The point of the tool is to facilitate making ad-hoc, one-off queries on CSV data. CSVs don't specify the types of their columns, and they're either text or numeric. Having to be explicit on what the columns are would be a downside for me. Many CSVs have a ton of columns and I often care only about a few columns for one particular query I'll write and run once and never again.
I've fallen into the trap[2] where imported columns compare alphabetically despite them being numbers. I've been casting in my queries and was considering adding argument syntax for specifying the types of certain columns, but now that I see this, I think the behavior on specifying everything as NUMERIC is more desirable. It's more like Excel/LibreOfficeCalc, where you can just use numbers and they behave like numbers without having to be super-explicit.
I do very much agree that it's not desirable design for the DB of an app. There type-safety is more desirable.
[1] https://github.com/jolmg/cq
[2] https://news.ycombinator.com/item?id=28071615
- Show HN: Work with CSV files using SQL. For data scientists and engineers
What are some alternatives?
testcontainers-go - Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.
textql - Execute SQL against structured text like CSV or TSV
Testcontainers - Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
datablox - A distributed, typed, data column
postgresql-embedded - Embedded PostgreSQL Server
superintendent - Write SQL on CSV files
integresql - IntegreSQL manages isolated PostgreSQL databases for your integration tests.
csvs-to-sqlite - Convert CSV files into a SQLite database
localstripe - A fake but stateful Stripe server that you can run locally, for testing purposes.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
embedded-postgres - Run a real Postgres database locally on Linux, OSX or Windows as part of another Go application or test
q - q - Run SQL directly on delimited files and multi-file sqlite databases