This is a kubernetes operator to manage apache hive on kubernetes cluster. It's part of the kubedoop ecosystem.
Kubedoop is a cloud-native big data platform built on Kubernetes, designed to simplify the deployment and management of big data applications on Kubernetes. It provides a set of pre-configured Operators to easily deploy and manage various big data components such as HDFS, Hive, Spark, Kafka, and more.
Please make sure helm version is v3.0.0+
helm repo add kubedoop https://zncdatadev.github.io/kubedoop-helm-charts/helm install commons-operator kubedoop/commons-operator
helm install listener-operator kubedoop/listener-operator
helm install secret-operator kubedoop/secret-operatorhelm install hive-operator kubedoop/hive-operatorkubectl apply -f config/samplesKubedoop operators:
- Kubedoop Operator for Apache DolphinScheduler
- Kubedoop Operator for Apache Hadoop HDFS
- Kubedoop Operator for Apache HBase
- Kubedoop Operator for Apache Hive
- Kubedoop Operator for Apache Kafka
- Kubedoop Operator for Apache Spark
- Kubedoop Operator for Apache Superset
- Kubedoop Operator for Trino
- Kubedoop Operator for Apache Zookeeper
Kubedoop built-in operators:
If you'd like to contribute to Kubedoop, please refer to our Contributing Guide for more information. We welcome contributions of all kinds, including but not limited to code, documentation, and use cases.
Copyright 2024.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.