ObjectBox Java (Kotlin, Android)
HikariCP
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ObjectBox Java (Kotlin, Android) | HikariCP | |
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14 | 33 | |
4,294 | 19,310 | |
0.4% | - | |
8.3 | 6.5 | |
about 1 month ago | 1 day ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
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ObjectBox Java (Kotlin, Android)
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Publishing to F-Droid
When I first attempted to publish to F-Droid, I experienced several pipeline issues. After reading through the pipeline logs in GitLab, I realized that my application's database (ObjectBox) was not entirely FOSS compliant and was causing build failures. The following day was spent migrating my app to Room.
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Looking for android java developer mentor
I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning.
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Want to build a simple database app....Where do I start
Just to add to this, there's also Realm and ObjectBox as alternatives.
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EdgeDB 2.0
Adding ObjectBox [0] to the list.
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Best libraries for Android Developers
Obectbox
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About Offline First
Has anyone used ObjectBox in anger and can share their experience?
- Is there a database like Firebase which can be used with flutter but doesn't collect user data?
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Is there a NoSQL option for Android?
ObjectBox
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Persistent Local Database with ObjectBox on Flutter
There are a lot of persistent database solutions available for Flutter applications. One of them is ObjectBox which is a NoSQL-based high-performance-oriented database solution written in the native dart language. You can use local as well as server features for syncing data as you like.
HikariCP
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Java virtual threads caused a deadlock in TPC-C for PostgreSQL
Looks like HikariCP is also awaiting fixes for this https://github.com/brettwooldridge/HikariCP/pull/2055
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Writing to db
I have used hikari and exposed to do this in the past with postgres, although other dialects are supported.
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A Tale of Two Connection Pools
I found one suggestion from the author of HikariCP on how to address this, which I implemented and it worked. However, there are additional classes involved, and it feels a little clunky and hard to follow.
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Should I use diesel ORM if performance is the most important thing?
Whatever you choose, presuming your app is database heavy, I highly recommend spending time on DB schema design to make all queries as short as possible, avoid relying on transactions, and keep your connection pool tiny. For reference: https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing
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Art of README
You reminded me of the HikariCP library and it’s documentation: Clear and simple with references to other libraries trying to accomplish the same thing. It is not in the closure space though.
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Java SQL code generator. SQL and OOP united finally.
There's a reason pretty much any system will use a connection pool (Hikari is the de facto standard). Yours should to.
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How is the market for Kotlin developers where you live?
HikariCP to pool and conserve relational database connections, which are a scarce and valuable commodity
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Recording HikariCP Metrics in Clojure
HikariCP is a popular JDBC connection pool, battle-tested and exhibiting good performance. A Clojure wrapper does the things discussed in this post here. However, our project uses HikariCP directly.
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Retry logic for optimistic locking and transparent failover 🐘🚀
YBDemo is a simple Java program that creates an HikariCP connection pool from the hikari.properties file in the current directory, and takes SQL statements to execute as lines from stdin. There's no multi-line statement: each line is a thread, executing the statement in a loop. The goal is to make it easy to run a demo with concurrent threads by providing the set of queries in a simple way, interactive or though file redirection. Only the first column of the first row is displayed, I use row_to_json() or json_agg() to format a larger result into one value. The thread stops if no row is returned, I use RETURNING to get a row from DML.
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JDBC Tutorial Part 3: Using Database Connection Pools
Connection pools are configurable, and different implementations have different parameters that you can adjust. For example, you might want to configure the maximum number of connection objects that the pool maintains or the maximum lifetime of a connection in the pool. Refer to the pool implementation documentation for more information.
What are some alternatives?
c3p0 - a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
Flyway - Flyway by Redgate • Database Migrations Made Easy.
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
H2 - H2 is an embeddable RDBMS written in Java.
Apache Hive - Apache Hive
FlexyPool - FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand.
Apache Phoenix - Mirror of Apache Phoenix