clickhouse-java
jaybird
clickhouse-java | jaybird | |
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1 | 1 | |
1,370 | 86 | |
0.7% | - | |
9.0 | 9.3 | |
4 days ago | 14 days ago | |
Java | Java | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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clickhouse-java
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SQL should be your default choice for data engineering pipelines
Agree with the OP that SQL will almost assuredly still be in use for 20+ years in the future, given the simplicity and flexibility of the declarative language, standardization, and as applicable to today as it was then to our big data problems.
Any discussion of SQL at scale must include ClickHouse [https://clickhouse.com/docs/en/install#self-managed-install], given it's broad open-source use, integrations available for Spark with JDBC [https://github.com/ClickHouse/clickhouse-jdbc/] or the open-source Spark-ClickHouse Connector [https://github.com/housepower/spark-clickhouse-connector], and capability to scale SQL as a network service.
Disclosure: I work for ClickHouse
jaybird
What are some alternatives?
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
java-quickstart - This repository contains code samples for getting started with Java and MariaDB.
crate-jdbc - A JDBC driver for CrateDB.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.