sql2o
Apache Hive
sql2o | Apache Hive | |
---|---|---|
1 | 14 | |
1,132 | 5,335 | |
- | 0.7% | |
7.9 | 9.6 | |
21 days ago | 3 days ago | |
Java | Java | |
MIT 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.
sql2o
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Are there recommended approach working with Database except Panache/Hibernate ?
Mostly i think because in our Kubernetes - the max resources allocated for single service instance - 2gb ram + 4vcore (2vcore, for 4 there is special agreement process). Under load i often see high memory pressure (gc count, high pauses, etc.). But handling http requests and dealing with CRUD is not a big problem. The huge difference appears during data batch upload into big-data system. The only service which was able to upload it's database faster than 300k record/s+ (peak ingestion) is using https://github.com/aaberg/sql2o + https://vertx.io/docs/vertx-pg-client/java/ . I don't remember numbers for services which use hibernate, but they mostly are very low.
Apache Hive
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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.
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In One Minute : Hadoop
Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying.
- Visionary French entrepreneur, David Gurle, launches new venture – Hive
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Apache Drill, Druid, Flink, Hive, Kafka, Spark
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Apache Spark, Hive, and Spring Boot — Testing Guide
In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository.
- Apache Hive in the vein!
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Jinja2 not formatting my text correctly. Any advice?
ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),
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Understanding SQL Dialects
Apache Hive takes in a specific SQL dialect and converts it to map-reduce.
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The Data Engineer Roadmap 🗺
Apache Hive
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Open Source SQL Parsers
Apache Calcite is a popular parser/optimizer that is used in popular databases and query engines like Apache Hive, BlazingSQL and many others.
What are some alternatives?
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
jOOQ - jOOQ is the best way to write SQL in Java
ObjectBox Java (Kotlin, Android) - Java and Android Database - fast and lightweight without any ORM
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
H2 - H2 is an embeddable RDBMS written in Java.
Apache Phoenix - Apache Phoenix
Presto - The official home of the Presto distributed SQL query engine for big data
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.