pgjdbc
Trino
pgjdbc | Trino | |
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14 | 44 | |
1,421 | 9,576 | |
0.9% | 1.8% | |
9.3 | 10.0 | |
1 day ago | 4 days ago | |
Java | Java | |
BSD 2-clause "Simplified" License | 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.
pgjdbc
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Password may not contain: select, insert, update, delete, drop
The method doAppendEscapeLiteral (Line 66) is a good example; https://github.com/pgjdbc/pgjdbc/blob/master/pgjdbc/src/main...
I didn’t take notes all the way down, but at the end of the day this method is invoked when a prepared statements’ parameters are being bound
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Everything People Don't Get About CVEs
Let's take CVE-2022-21724 which has a base score of 9.8 - Critical from NVD. This vulnerability has the following description on GitHub link:
- For daily Java programmers: after almost one decade of Java 8, are streams and lambdas fully adopted by the Java community?
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KTor and non-blocking sql
Virtual threads are great but db drivers still have to tweak (mainly to remove synchronized I/O) to be compatible with loom. Postgres just recently merged the changes for loom https://github.com/pgjdbc/pgjdbc/issues/1951
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loom and database drivers
You can see it for example in the Postgres driver here or the MS SQL driver here. Oracle of course has already released their driver as Loom ready.
- Embracing Virtual Threads with Spring
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Java 19
See here for details, one of the Project Loom mainainers chimes in with the bad news -- looks like a Loom supported solution is a ways off, so rewriting library/application code that uses synchronized is the only way to actually benefit from Loom's virtual threads.
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Why is Spring so slow in TechEmpower benchmark?
Any chance you could add a thought / opinion to https://github.com/pgjdbc/pgjdbc/issues/1951 ? Around synchronized & ReentrantLock etc. Any input would be greatly appreciated.
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I feel like this should be in every model, class and function just to be sure.
This is about types defined outside your business and that means you possibly don't have a chance to do better, e.g. PgPreparedStatement from PostreSQL driver.
- Postgres Java lib returns wrong numeric value after 5 reads
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?
pgjdbc-ng - A new JDBC driver for PostgreSQL aimed at supporting the advanced features of JDBC and Postgres
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
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
zgc - The Z Garbage Collector https://wiki.openjdk.org/display/zgc
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
H2 - H2 is an embeddable RDBMS written in Java.
Apache Calcite - Apache Calcite
requery - requery - modern SQL based query & persistence for Java / Kotlin / Android
ClickHouse - ClickHouse® is a free analytics DBMS for big data