Installing HDF Services on an Existing HDP Cluster
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2017-11-09
Abstract
Hortonworks DataFlow (HDF) is powered by Apache NiFi. A version of this documentation originally appeared on the Apache NiFi website.
HDF is the first integrated platform that solves the real time challenges of collecting and transporting data from a multitude of sources and provides interactive command and control of live flows with full and automated data provenance. HDF is a single combined platform that provides the data acquisition, simple event processing, transport and delivery mechanism designed to accommodate the diverse dataflows generated by a world of connected people, systems and things.
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Contents
- 1. Upgrading Ambari
- 2. Upgrading to HDP 2.6.3
- 3. Installing Databases
- Installing MySQL
- Configuring SAM and Schema Registry Metadata Stores in MySQL
- Configuring Druid and Superset Metadata Stores in MySQL
- Install Postgres
- Configure Postgres to Allow Remote Connections
- Configure SAM and Schema Registry Metadata Stores in Postgres
- Configure Druid and Superset Metadata Stores in Postgres
- Specifying an Oracle Database to Use with SAM and Schema Registry
- Switching to an Oracle Database After Installation
- 4. Installing the HDF Management Pack
- 5. Update the HDF Base URL
- 6. Add HDF Services to an HDP Cluster
- 7. Configure HDF Components
- 8. Configuring Schema Registry and SAM for High Availability
- 9. Install the Storm Ambari View
- 10. Using a Local Repository
- 11. Navigating the HDF Library