From a95c4f3671098bb6f65cc0b0e43b147800a693a6 Mon Sep 17 00:00:00 2001 From: Saulius Valatka Date: Wed, 3 Apr 2024 15:54:25 +0300 Subject: [PATCH] use publish workflow for build badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b23b1f70..5814fc5c 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Stream Loader ![](https://github.com/adform/stream-loader/workflows/build/badge.svg) +# Stream Loader ![](https://github.com/adform/stream-loader/workflows/publish/badge.svg) Stream loader is a collection of libraries providing means to load data from [Kafka](https://kafka.apache.org/) into arbitrary storages such as [HDFS](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html), [S3](https://aws.amazon.com/s3/), [ClickHouse](https://clickhouse.tech/) or [Vertica](https://www.vertica.com/) using exactly-once semantics. Users can easily implement various highly customized loaders by combining out of the box components for record formatting and encoding, data storage, stream grouping and so on, implementing their own or extending the existing ones, if needed.