sqlite-jdbc
Trino
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sqlite-jdbc | Trino | |
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21 | 44 | |
2,682 | 9,552 | |
- | 3.1% | |
9.1 | 10.0 | |
1 day ago | 7 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
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.
sqlite-jdbc
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Exciting SQLite Improvements Since 2020
There's also a fairly popular JDBC driver for SQLite too:
https://github.com/xerial/sqlite-jdbc
Mentioning that because from (very) rough memory, Excel can work with JDBC too.
So if the ODBC approach doesn't work for someone, there's potentially another thing they can try. :)
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Janet for Mortals
Sadly, another baseless assumption. I just downloaded sqlite java driver from https://github.com/xerial/sqlite-jdbc/. And compiled their sample program on the home page to native code. (all within ~1min after reading your response)
javac Sample.java && native-image -cp .:sqlite-jdbc-3.41.2.1.jar Sample
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ResultSet's "getX" working without calling "next()" first? (Xerial SQLite)
Here's a link to the ResultSet source code for that driver. https://github.com/xerial/sqlite-jdbc/blob/master/src/main/java/org/sqlite/jdbc3/JDBC3ResultSet.java
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sqlite, persistence, and java
Well, the simplest is to just use basic JDBC. See https://www.tutorialspoint.com/jdbc/jdbc-sample-code.htm or maybe some tests that the xerial-jdbc library has https://github.com/xerial/sqlite-jdbc/blob/master/src/test/java/org/sqlite/CollationTest.java
- Between using H2 and HSQLDB as a production DB, which is the better choice?
- Are there any reasons for not using SQLite as an embedded DB in a Spring Boot web app?
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What's the best approach for creating an embedded Postgresql to be used in production?
There is https://github.com/xerial/sqlite-jdbc, a full packaged sql lite for Java. We use it in production apps to store local user profile data. It works, is stable.
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I’m Switching from VS Code to vs Codium
> Take the Jetbrains IDEs. I don't mean to offend any VSC fans out there but the Jetbrains IDEs are simply better and more mature in every single way.
I just discontinued my Jetbrains subscription after 10 years or so. Now I'm using VS Code and don't miss anything. My reasons for switching to VS Code are unrelated to the costs but purely due to quality issues and missing or poorly implemented features:
1. For all Jetbrains IDEs, ISO keyboard layout with dead keys doesn't work on Ubuntu based distros. I was baffled when I found out after saying goodbye to Windows lately. When filing a bug I was asked to wade through years old pages of comments to find somewhere someone who posted a workaround that was not compatible with the Toolbox. Well, at least the support could have sent me the instructions to fix it to save me spending an hour to read those threads at the Youtrack.
2. Vue 3 support was a disaster for itself. Still, Vue 3 support is very much behind the VS Code extension.
3. Same for Svelte. They are not even working on bugs / feature requests like intellisense in the templates.
4. Same for TailwindCSS. Never ending storing. Don't know and care if Jetbrains got it right by now.
5. Starting maybe 2 years ago, Jetbrains added feature for feature that were just distracting and annoying. This "run command in terminal" thingie for example. They're bloating their IDEs with new (mostly useless stuff) but don't fix essential bugs or get Webstorm back into shape.
6. Datagrip still doesn't (or maybe it does in the meantime) support SQLite STRICT TABLES (version 3.37). The simple answer from Jetbrains was: "The open source lib we're using does not support it so we don't." (Actually the lib (https://github.com/xerial/sqlite-jdbc) is currently unmaintained - another reason to be careful depending on a lib maintained by a single person.). The reply would be perfectly fine for an open source project, but not for a multi billion dollar company I as a customer had payed accumulated several thousand Euros in the last years.
I'm using mainly Go, Rust and several frontend frameworks. VS Code support for those is really good. Many things work much better in VS Code.
- Lumosql
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Replacing JNI with Panama in the SQLite JDBC driver
I was working on this project for a few months: https://github.com/xerial/sqlite-jdbc/pull/568. I basically read this entire book to learn more about the C api: https://www.amazon.com/Using-SQLite-Small-Reliable-Choose/dp/0596521189 and studied the JNI for a few weeks.
Trino
- Trino: Fast distributed SQL query engine for big data analytics
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Game analytic power: how we process more than 1 billion events per day
We decided not to waste time reinventing the wheel and simply installed Trino on our servers. It’s a full featured SQL query engine that works on your data. Now our analysts can use it to work with data from AppMetr and execute queries at different levels of complexity.
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Your Thoughts on OLAPs Clickhouse vs Apache Druid vs Starrocks in 2023/2024
DevRel for StarRocks. Trino doesn't have a great caching layer (https://github.com/trinodb/trino/pull/16375) and performance (https://github.com/trinodb/trino/issues/14237) and https://github.com/oap-project/Gluten-Trino. In benchmarks and community user testing, StarRocks has outperformed.
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Making Hard Things Easy
What if my SQL engine is Presto, Trino [1], or a similar query engine? If it's federating multiple source databases we peel the SQL back and get... SQL? Or you peel the SQL back and get... S3 + Mongo + Hadoop? Junior analysts would work at 1/10th the speed if they had to use those raw.
[1] https://trino.io/
- Trino, a open query engine that runs at ludicrous speed
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Questions about Athena, Trino and Iceberg
The good thing is that the concepts in terms to the SQL supported by Trino transfers between them all. So its completely reasonable to start with one and move to another. In fact that is something that happens regularly. I invite to you check out the talks from the Trino Fest event that is just wrapping up today. There are presentations about all these aspects and different scenarios users encounter. All videos and slides will go live on the Trino website soon. Also feel free to join the Trino slack to chat about about all this with other users.
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Multi-Databases across Multiple Servers - MySQL
There are distributed query engines like Trino that help with this sort of problem https://trino.io/
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Iceberg on Cloudtrail Logs with Athena
This issue in particular is a killer for me: https://github.com/trinodb/trino/issues/10974
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Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse
AFAIK Presto was forked and Trino https://trino.io/ is now the leading SQL Query engine .
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
What are some alternatives?
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Hibernate - Hibernate's core Object/Relational Mapping functionality
dremio-oss - Dremio - the missing link in modern data
jOOQ - jOOQ is the best way to write SQL in Java
Presto - The official home of the Presto distributed SQL query engine for big data
Paper - The most widely used, high performance Minecraft server that aims to fix gameplay and mechanics inconsistencies
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
Ebean ORM - Ebean ORM
Apache Calcite - Apache Calcite
JPassport - JPassport
ClickHouse - ClickHouse® is a free analytics DBMS for big data