rapiddweller-benerator-ce
Presto
Our great sponsors
| rapiddweller-benerator-ce | Presto | |
|---|---|---|
| 3 | 14 | |
| 128 | 15,591 | |
| 3.9% | 0.8% | |
| 8.5 | 9.9 | |
| about 1 month ago | about 11 hours ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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rapiddweller-benerator-ce
Presto
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Multi-Database Support in DuckDB
We have some of this functionality in Presto (https://github.com/prestodb/presto), but it takes fair bit of work to implement it for all the different backends.
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Rust std:fs slower than Python
Note that glibc has a similar problem in multithreaded contexts. It strands unused memory in thread-local pools, which grows your memory usage over time like a memory leak. We got lower memory usage that didn't grow over time by switching to jemalloc.
Example of this: https://github.com/prestodb/presto/issues/8993
- Ask HN: What are some SQL transpilers?
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Cheat sheet for quotes usage?
I look at the grammar. Here is preto's grammar which is mostly similar to other sql engines: https://github.com/prestodb/presto/blob/master/presto-parser/src/main/antlr4/com/facebook/presto/sql/parser/SqlBase.g4
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After a few recent events, opening a Linux terminal in public places is a big no-no
export MVNW_VERBOSE=true git clone https://github.com/prestodb/presto.git cd presto bash ./mvnw clean install
- presto: The official home of the Presto distributed SQL query engine for big data
- Compile the Minecraft Server (Java Edition) to Native with GraalVM Native Image
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What are y'all learning right now?
more specifically, recently started learning about Presto [paper], and have been diving deeper into [source] code.
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Presto
- Let's write a compiler, part 5: A code generator
What are some alternatives?
riot - 🧨 Get data in & out of Redis with RIOT
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Apache Phoenix - Apache Phoenix
HoloDB - HoloDB is an RDBMS seemingly filled with random data. This data does not actually take up any space in memory or on a volume (to use an analogy, it is as if the data set is projected as a hologram from a simple configuration). The base layer is an arbitrarily large, read-only data set that is readable and searchable, and yet fully consistent. Any pieces of data and index lookups are calculated on-the-fly. An optional second layer is built on top of this, allowing read-write access (stores differences while maintains consistency and searchability). You can start an arbitrarily large database in moments, with minimal effort; all you need is a YAML configuration file or some JPA entites.
Apache Calcite - Apache Calcite
ManyDesigns Portofino 4 - Portofino 5 is the next generation of the open-source low-code web framework Portofino. Its purpose is to help developers create modern, responsive enterprise applications with REST APIs and an Angular UI.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Mockneat - MockNeat - the modern faker lib.
jOOQ - jOOQ is the best way to write SQL in Java
Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data