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

fixing the links to doc images

This commit is contained in:
Himanshu Gupta 2015-06-29 12:17:42 -05:00
parent 8172bdff1c
commit 4114b4902e
5 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/content/design/design.md
View File

@ -39,7 +39,7 @@ This separation allows each node to only care about what it is best at. By separ
The following diagram shows how queries and data flow through this architecture, and which nodes (and external dependencies, discussed below) are involved:
<img src="../img/druid-dataflow-3.png" width="800"/>
<img src="../../img/druid-dataflow-3.png" width="800"/>
All nodes can be run in some highly available fashion, either as symmetric peers in a share-nothing cluster or as hot-swap failover nodes.
@ -51,7 +51,7 @@ Aside from these nodes, there are 3 external dependencies to the system:
The following diagram illustrates the cluster's management layer, showing how certain nodes and dependencies help manage the cluster by tracking and exchanging metadata:
<img src="../img/druid-manage-1.png" width="800"/>
<img src="../../img/druid-manage-1.png" width="800"/>
### Segments and Data Storage

2
docs/content/design/indexing-service.md
View File

@ -13,7 +13,7 @@ Overlords and middle managers may run on the same node or across multiple nodes
Indexing Service Overview
-------------------------
![Indexing Service](../img/indexing_service.png "Indexing Service")
![Indexing Service](../../img/indexing_service.png "Indexing Service")
<!--
Preamble

2
docs/content/design/realtime.md
View File

@ -19,7 +19,7 @@ Segment Propagation
The segment propagation diagram for real-time data ingestion can be seen below:
![Segment Propagation](../img/segmentPropagation.png "Segment Propagation")
![Segment Propagation](../../img/segmentPropagation.png "Segment Propagation")
You can read about the various components shown in this diagram under the Architecture section (see the menu on the right). Note that some of the names are now outdated.

2
docs/content/design/segments.md
View File

@ -29,7 +29,7 @@ for a query. There are three basic column types: the timestamp
column, dimension columns, and metric columns, as illustrated in the
image below:
![Druid column types](../img/druid-column-types.png "Druid Column Types")
![Druid column types](../../img/druid-column-types.png "Druid Column Types")
The timestamp and metric columns are simple: behind the scenes each of
these is an array of integer or floating point values compressed with

2
docs/content/development/integrating-druid-with-other-technologies.md
View File

@ -4,4 +4,4 @@ layout: doc_page
# Integrating Druid With Other Technologies
This page discusses how we can integrate druid with other technologies. Event streams can be stored in a distributed queue like Kafka, then it can be streamed to a distributed realtime computation system like Twitter Storm / Samza and then it can be feed into Druid via Tranquility plugin. With Tranquility, Middlemanager & Peons will act as a realtime node and they handle realtime queries, segment handoff and realtime indexing.
<img src="../img/druid-production.png" width="800"/>
<img src="../../img/druid-production.png" width="800"/>