Apache
/
druid
mirror of https://github.com/apache/druid.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

docs: fix links (#14504)

This commit is contained in:
Victoria Lim 2023-07-05 12:29:47 -07:00 committed by GitHub
parent 609833c97b
commit 50b7e5d20e
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 9 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/api-reference/legacy-metadata-api.md
View File

@ -23,7 +23,7 @@ sidebar_label: Legacy metadata
~ under the License.
-->
This document describes the legacy API endpoints to retrieve datasource metadata from Apache Druid. Use the [SQL metadata tables](/querying/sql-metadata-tables.md) to retrieve datasource metadata instead.
This document describes the legacy API endpoints to retrieve datasource metadata from Apache Druid. Use the [SQL metadata tables](../querying/sql-metadata-tables.md) to retrieve datasource metadata instead.
## Segment loading
@ -312,4 +312,4 @@ Returns the metrics of the datasource.
`GET /druid/v2/datasources/{dataSourceName}/candidates?intervals={comma-separated-intervals}&numCandidates={numCandidates}`
Returns segment information lists including server locations for the given datasource and intervals. If "numCandidates" is not specified, it will return all servers for each interval.
Returns segment information lists including server locations for the given datasource and intervals. If "numCandidates" is not specified, it will return all servers for each interval.

2
docs/tutorials/tutorial-jupyter-docker.md
View File

@ -25,7 +25,7 @@ sidebar_label: "Docker for tutorials"
Apache Druid provides a custom Jupyter container that contains the prerequisites
for all Jupyter-based Druid tutorials, as well as all of the tutorials themselves.
for all [Jupyter-based Druid tutorials](tutorial-jupyter-index.md), as well as all of the tutorials themselves.
You can run the Jupyter container, as well as containers for Druid and Apache Kafka,
using the Docker Compose file provided in the Druid GitHub repository.

13
docs/tutorials/tutorial-jupyter-index.md
View File

@ -67,10 +67,9 @@ The notebooks are located in the [apache/druid repo](https://github.com/apache/d
The links that follow are the raw GitHub URLs, so you can use them to download the notebook directly, such as with `wget`, or manually through your web browser. Note that if you save the file from your web browser, make sure to remove the `.txt` extension.
- [Introduction to the Druid REST API](
https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/api-tutorial.ipynb)
walks you through some of the basics related to the Druid REST API and several endpoints.
- [Introduction to the Druid Python API](
https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/Python_API_Tutorial.ipynb)
walks you through some of the basics related to the Druid API using the Python wrapper API.
- [Introduction to Druid SQL](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/sql-tutorial.ipynb) covers the basics of Druid SQL.
- [Introduction to the Druid REST API](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/notebooks/04-api/00-getting-started.ipynb) walks you through some of the
basics related to the Druid REST API and several endpoints.
- [Introduction to the Druid Python API](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/notebooks/01-introduction/01-druidapi-package-intro.ipynb) walks you through some of the
basics related to the Druid API using the Python wrapper API.
- [Learn the basics of Druid SQL](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/notebooks/03-query/00-using-sql-with-druidapi.ipynb) introduces you to the unique aspects of Druid SQL with the primary focus on the SELECT statement.
- [Ingest and query data from Apache Kafka](https://raw.githubusercontent.com/apache/druid/master/examples/quickstart/jupyter-notebooks/notebooks/02-ingestion/01-streaming-from-kafka.ipynb) walks you through ingesting an event stream from Kafka.