This is an automated email from the ASF dual-hosted git repository.
git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-training.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 4d98ec0 Site checkin for project Training: Website
4d98ec0 is described below
commit 4d98ec01d14948b6900cc7d1df535c7a291d1eab
Author: jenkins <[email protected]>
AuthorDate: Wed Dec 11 23:03:03 2024 +0000
Site checkin for project Training: Website
---
dependencies.html | 10 +++---
.../druid/WEB-INF/classes/images/druid-logo.png | Bin 0 -> 28426 bytes
presentations/druid/images/druid-logo.png | Bin 0 -> 28426 bytes
presentations/druid/index.html | 40 +++++++++++----------
presentations/training/demo/index.html | 2 +-
5 files changed, 27 insertions(+), 25 deletions(-)
diff --git a/dependencies.html b/dependencies.html
index 8edf9e8..f4b84b5 100644
--- a/dependencies.html
+++ b/dependencies.html
@@ -771,7 +771,7 @@
<tr class="b">
<td align="left">training-content-apache-druid-1.0.0-SNAPSHOT.war</td>
<td align="right">2.9 MB</td>
- <td align="right">212</td>
+ <td align="right">214</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="center">-</td>
@@ -923,8 +923,8 @@
</tr>
<tr class="a">
<td align="right">20</td>
- <td align="right">204.4 MB</td>
- <td align="right">4444</td>
+ <td align="right">204.5 MB</td>
+ <td align="right">4446</td>
<td align="right">7</td>
<td align="right">3</td>
<td align="center">1.8</td>
@@ -932,8 +932,8 @@
</tr>
<tr class="b">
<td align="right">compile: 20</td>
- <td align="right">compile: 204.4 MB</td>
- <td align="right">compile: 4444</td>
+ <td align="right">compile: 204.5 MB</td>
+ <td align="right">compile: 4446</td>
<td align="right">compile: 7</td>
<td align="right">compile: 3</td>
<td align="center">1.8</td>
diff --git a/presentations/druid/WEB-INF/classes/images/druid-logo.png
b/presentations/druid/WEB-INF/classes/images/druid-logo.png
new file mode 100644
index 0000000..017e569
Binary files /dev/null and
b/presentations/druid/WEB-INF/classes/images/druid-logo.png differ
diff --git a/presentations/druid/images/druid-logo.png
b/presentations/druid/images/druid-logo.png
new file mode 100644
index 0000000..017e569
Binary files /dev/null and b/presentations/druid/images/druid-logo.png differ
diff --git a/presentations/druid/index.html b/presentations/druid/index.html
index bc5362c..5ae1ede 100644
--- a/presentations/druid/index.html
+++ b/presentations/druid/index.html
@@ -1,4 +1,4 @@
-<!DOCTYPE html><html lang="en"><head><meta charset="utf-8" /><meta
name="viewport" content="width=device-width, initial-scale=1.0,
maximum-scale=1.0, user-scalable=no, minimal-ui" /><title>What is Apache
Druid?</title><link rel="stylesheet" href="reveal.js-5.1.0/dist/reset.css"
/><link rel="stylesheet" href="reveal.js-5.1.0/dist/reveal.css" /><link
href="css/c3.min.css" rel="stylesheet" /><script src="js/d3.min.js"
charset="utf-8"></script><script src="js/c3.min.js"></script><link rel="s [...]
+<!DOCTYPE html><html lang="en"><head><meta charset="utf-8" /><meta
name="viewport" content="width=device-width, initial-scale=1.0,
maximum-scale=1.0, user-scalable=no, minimal-ui" /><title>Apache
Druid</title><meta name="description" content="Introduction to Apache Druid"
/><meta name="keywords" content="Apache, Druid" /><meta name="author"
content="Your Name" /><link rel="stylesheet"
href="reveal.js-5.1.0/dist/reset.css" /><link rel="stylesheet"
href="reveal.js-5.1.0/dist/reveal.css" /> [...]
float: right
}
@@ -413,40 +413,42 @@ ul.byline {
ul.byline li + li {
margin-top: 0.25em;
}
-</style></head><body><div class="header"><div class="left"></div><div
class="right"></div></div><div class="reveal"><div class="slides"><section
id="_what_is_apache_druid"><h2>What is Apache Druid?</h2><div
class="slide-content"><div class="paragraph"><p>Apache Druid is a fast and
modern analytics database.
+</style><link rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css";
/><link rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/v4-shims.min.css";
/></head><body><div class="header"><div class="left"></div><div
class="right"></div></div><div class="reveal"><div class="slides"><section
id="apache-druid"><h2>Apache Druid</h2><div class="slide-content"><div
class="imageblock"><img src="images/druid-logo.png" alt=" [...]
+<aside class="notes"><div class="paragraph"><p>Introduce yourself, and your
role in the Apache Druid community.</p></div></aside></div></section>
+<section id="what-is-apache-druid"><h2>What is Apache Druid?</h2><div
class="slide-content"><div class="paragraph"><p>Apache Druid is a fast and
modern analytics database.
Druid is designed for workflows where fast ad-hoc analytics, instant data
visibility, or supporting high concurrency is important.
As such, Druid is often used to power UIs where an interactive, consistent
user experience is desired.</p></div></div></section>
-<section id="_druid_high_level_architecture"><h2>Druid High Level
Architecture</h2><div class="slide-content"><div class="paragraph"><p>Druid’s
core design combines ideas from data warehouses, timeseries databases, and
search systems to create a high performance real-time analytics database for a
broad range of use cases. Druid merges key characteristics of each of the 3
systems into its ingestion layer, storage format, querying layer, and core
architecture.</p></div>
+<section id="druid-high-level-architecture"><h2>Druid High Level
Architecture</h2><div class="slide-content"><div class="paragraph"><p>Druid’s
core design combines ideas from data warehouses, timeseries databases, and
search systems to create a high performance real-time analytics database for a
broad range of use cases. Druid merges key characteristics of each of the 3
systems into its ingestion layer, storage format, querying layer, and core
architecture.</p></div>
<div class="imageblock"><img src="http://druid.apache.org/img/diagram-2.png";
alt="diagram 2" width="40%"></div></div></section>
-<section id="_druid_features"><h2>Druid Features</h2><div
class="slide-content"><div class="paragraph"><p>Apache Druid provides following
features:</p></div>
+<section id="druid-features"><h2>Druid Features</h2><div
class="slide-content"><div class="paragraph"><p>Apache Druid provides following
features:</p></div>
<div class="ulist"><ul><li><p>Column Oriented Storage</p></li><li><p>Streaming
and batch ingest</p></li><li><p>Native search indexes</p></li><li><p>Flexible
schemas</p></li><li><p>Time-optimized partitioning</p></li><li><p>SQL
support</p></li><li><p>Horizontal
scalability</p></li></ul></div></div></section>
-<section id="_druid_integration"><h2>Druid: Integration</h2><div
class="slide-content"><div class="paragraph"><p>Druid is complementary to many
open source data technologies in the Apache Software Foundation including
Apache Kafka, Apache Hadoop, Apache Flink, and more.</p></div>
+<section id="druid-integration"><h2>Druid: Integration</h2><div
class="slide-content"><div class="paragraph"><p>Druid is complementary to many
open source data technologies in the Apache Software Foundation including
Apache Kafka, Apache Hadoop, Apache Flink, and more.</p></div>
<div class="paragraph"><p>Druid typically sits between a storage or processing
layer and the end user, and acts as a query layer to serve analytic
workloads.</p></div>
<div class="imageblock"><img src="http://druid.apache.org/img/diagram-3.png";
alt="diagram 3" width="60%"></div></div></section>
-<section id="_druid_ingestion"><h2>Druid: Ingestion</h2><div
class="slide-content"><div class="paragraph"><p>Druid supports both streaming
and batch ingestion. Druid connects to a source of raw data, typically a
message bus such as Apache Kafka (for streaming data loads), or a distributed
filesystem such as HDFS (for batch data loads).</p></div>
+<section id="druid-ingestion"><h2>Druid: Ingestion</h2><div
class="slide-content"><div class="paragraph"><p>Druid supports both streaming
and batch ingestion. Druid connects to a source of raw data, typically a
message bus such as Apache Kafka (for streaming data loads), or a distributed
filesystem such as HDFS (for batch data loads).</p></div>
<div class="paragraph"><p>Druid converts raw data stored in a source to a more
read-optimized format (called a Druid “segment”) in a process calling
“indexing”.</p></div>
<div class="imageblock"><img src="http://druid.apache.org/img/diagram-4.png";
alt="diagram 4" width="60%"></div></div></section>
-<section id="_druid_storage"><h2>Druid: Storage</h2><div
class="slide-content"><div class="paragraph"><p>Like many analytic data stores,
Druid stores data in columns. Depending on the type of column (string, number,
etc), different compression and encoding methods are applied. Druid also builds
different types of indexes based on the column type.</p></div>
+<section id="druid-storage"><h2>Druid: Storage</h2><div
class="slide-content"><div class="paragraph"><p>Like many analytic data stores,
Druid stores data in columns. Depending on the type of column (string, number,
etc), different compression and encoding methods are applied. Druid also builds
different types of indexes based on the column type.</p></div>
<div class="paragraph"><p>Similar to search systems, Druid builds inverted
indexes for string columns for fast search and filter.</p></div></div></section>
-<section id="_druid_pre_aggregation"><h2>Druid: Pre-aggregation</h2><div
class="slide-content"><div class="paragraph"><p>Unlike many traditional
systems, Druid can optionally pre-aggregate data as it is ingested.
+<section id="druid-pre-aggregation"><h2>Druid: Pre-aggregation</h2><div
class="slide-content"><div class="paragraph"><p>Unlike many traditional
systems, Druid can optionally pre-aggregate data as it is ingested.
This pre-aggregation step is known as rollup, and can lead to dramatic storage
savings.</p></div>
<div class="imageblock"><img src="http://druid.apache.org/img/diagram-5.png";
alt="diagram 5" width="60%"></div></div></section>
-<section id="_druid_querying"><h2>Druid: Querying</h2><div
class="slide-content"><div class="paragraph"><p>Druid supports querying data
through JSON-over-HTTP and SQL. In addition to standard SQL operators, Druid
supports unique operators that leverage its suite of approximate algorithms to
provide rapid counting, ranking, and quantiles.</p></div>
+<section id="druid-querying"><h2>Druid: Querying</h2><div
class="slide-content"><div class="paragraph"><p>Druid supports querying data
through JSON-over-HTTP and SQL. In addition to standard SQL operators, Druid
supports unique operators that leverage its suite of approximate algorithms to
provide rapid counting, ranking, and quantiles.</p></div>
<div class="imageblock"><img src="http://druid.apache.org/img/diagram-6.png";
alt="diagram 6" width="60%"></div></div></section>
-<section id="_druid_high_level_architecture_diagram"><h2>Druid: High Level
Architecture Diagram</h2><div class="slide-content"><div
class="imageblock"><img src="http://druid.apache.org/img/diagram-7.png";
alt="diagram 7"></div></div></section>
-<section id="_druid_architecure"><h2>Druid: Architecure</h2><div
class="slide-content"><div class="paragraph"><p>Druid has a microservice-based
architecture can be thought of as a disassembled database. Each core service in
Druid (ingestion, querying, and coordination) can be separately or jointly
deployed on commodity hardware.</p></div>
+<section id="druid-high-level-architecture-diagram"><h2>Druid: High Level
Architecture Diagram</h2><div class="slide-content"><div
class="imageblock"><img src="http://druid.apache.org/img/diagram-7.png";
alt="diagram 7"></div></div></section>
+<section id="druid-architecure"><h2>Druid: Architecure</h2><div
class="slide-content"><div class="paragraph"><p>Druid has a microservice-based
architecture can be thought of as a disassembled database. Each core service in
Druid (ingestion, querying, and coordination) can be separately or jointly
deployed on commodity hardware.</p></div>
<div class="paragraph"><p>Druid explicitly names every main service to allow
the operator to fine tune each service based on the use case and
workload.</p></div></div></section>
-<section id="_druid_operations"><h2>Druid: Operations</h2><div
class="slide-content"><div class="paragraph"><p>Druid is designed to power
applications that need to be up 24 hours a day, 7 days a week. Druid possesses
several features to ensure uptime and no data loss.</p></div>
+<section id="druid-operations"><h2>Druid: Operations</h2><div
class="slide-content"><div class="paragraph"><p>Druid is designed to power
applications that need to be up 24 hours a day, 7 days a week. Druid possesses
several features to ensure uptime and no data loss.</p></div>
<div class="ulist"><ul><li><p><strong>Data
replication</strong></p></li><li><p><strong>Independent
services</strong></p></li><li><p><strong>Automatic data
backup</strong></p></li><li><p><strong>Rolling
updates</strong></p></li></ul></div></div></section>
-<section id="_druid_operations_data_replication"><h2>Druid Operations : Data
replication</h2><div class="slide-content"><div
class="paragraph"><p><strong>Data replication</strong>
+<section id="druid-operations-data-replication"><h2>Druid Operations : Data
replication</h2><div class="slide-content"><div
class="paragraph"><p><strong>Data replication</strong>
All data in Druid is replicated a configurable number of times so single
server failures have no impact on queries.</p></div></div></section>
-<section id="_druid_operations_independent_services"><h2>Druid Operations :
Independent services</h2><div class="slide-content"><div
class="paragraph"><p><strong>Independent services</strong>
+<section id="druid-operations-independent-services"><h2>Druid Operations :
Independent services</h2><div class="slide-content"><div
class="paragraph"><p><strong>Independent services</strong>
Druid explicitly names all of its main services and each service can be fine
tuned based on use case. Services can independently fail without impacting
other services. For example, if the ingestion services fails, no new data is
loaded in the system, but existing data remains
queryable.</p></div></div></section>
-<section id="_druid_operations_automatic_data_backup"><h2>Druid Operations :
Automatic data backup</h2><div class="slide-content"><div
class="paragraph"><p><strong>Automatic data backup</strong>
+<section id="druid-operations-automatic-data-backup"><h2>Druid Operations :
Automatic data backup</h2><div class="slide-content"><div
class="paragraph"><p><strong>Automatic data backup</strong>
Druid automatically backs up all indexed data to a filesystem such as HDFS.
You can lose your entire Druid cluster and quickly restore it from this backed
up data.</p></div></div></section>
-<section id="_druid_operations_rolling_updates"><h2>Druid Operations : Rolling
updates</h2><div class="slide-content"><div
class="paragraph"><p><strong>Rolling updates</strong>
+<section id="druid-operations-rolling-updates"><h2>Druid Operations : Rolling
updates</h2><div class="slide-content"><div
class="paragraph"><p><strong>Rolling updates</strong>
You can update a Druid cluster with no downtime and no impact to end users
through rolling updates. All Druid releases are backwards compatible with the
previous version.</p></div></div></section>
-<section id="_further_sources"><h2>Further Sources</h2><div
class="slide-content"><div class="paragraph"><p>Refer official documents on
Apache Druid here:</p></div>
+<section id="further-sources"><h2>Further Sources</h2><div
class="slide-content"><div class="paragraph"><p>Refer official documents on
Apache Druid here:</p></div>
<div class="ulist"><ul><li><p><strong>Druid Documentation</strong>: <a
href="http://druid.apache.org/";
class="bare">http://druid.apache.org/</a></p></li><li><p><strong>Druid
Technology</strong>: <a href="http://druid.apache.org/technology";
class="bare">http://druid.apache.org/technology</a></p></li></ul></div></div></section></div></div><div
class="footer"><div class="left"></div><div class="right"></div></div><script
src="reveal.js-5.1.0/dist/reveal.js"></script><script>Array.prototype. [...]
if (slide.getAttribute('data-background-color')) return;
// user needs to explicitly say he wants CSS color to override otherwise we
might break custom css or theme (#226)
@@ -482,7 +484,7 @@ Reveal.initialize({
// page/copying the URL will return you to the same slide
hash: false,
// Push each slide change to the browser history. Implies `hash: true`
- history: false,
+ history: true,
// Enable keyboard shortcuts for navigation
keyboard: true,
// Enable the slide overview mode
@@ -490,7 +492,7 @@ Reveal.initialize({
// Disables the default reveal.js slide layout so that you can use custom
CSS layout
disableLayout: false,
// Vertical centering of slides
- center: true,
+ center: false,
// Enables touch navigation on devices with touch input
touch: true,
// Loop the presentation
diff --git a/presentations/training/demo/index.html
b/presentations/training/demo/index.html
index 6d936a4..7537128 100644
--- a/presentations/training/demo/index.html
+++ b/presentations/training/demo/index.html
@@ -414,7 +414,7 @@ ul.byline li + li {
margin-top: 0.25em;
}
</style><link rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css";
/><link rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/v4-shims.min.css";
/></head><body><div class="header"><div class="left"></div><div
class="right"></div></div><div class="reveal"><div class="slides"><section
id="example-presentation"><h2>Example Presentation</h2><div
class="slide-content"><div class="paragraph"><p>Doc Writer <<a hr [...]
-2024-12-04
+2024-12-11
:revnumber: 1.0.0-SNAPSHOT
:example-caption!:</p></div></div></section>
<section id="introduction"><h2>Introduction</h2><div
class="slide-content"><div class="ulist"><ul><li class="fragment"><p>This is a
presentation for an example project.</p></li><li class="fragment"><p>This
project does something.</p></li><li class="fragment"><p>We just haven’t
decided what that is yet.</p></li></ul></div></div></section>
![http://druid.apache.org/img/diagram-2.png"](http://druid.apache.org/img/diagram-2.png"){kind=link}
![http://druid.apache.org/img/diagram-3.png"](http://druid.apache.org/img/diagram-3.png"){kind=link}
![http://druid.apache.org/img/diagram-4.png"](http://druid.apache.org/img/diagram-4.png"){kind=link}
![http://druid.apache.org/img/diagram-5.png"](http://druid.apache.org/img/diagram-5.png"){kind=link}
![http://druid.apache.org/img/diagram-6.png"](http://druid.apache.org/img/diagram-6.png"){kind=link}
![http://druid.apache.org/img/diagram-7.png"](http://druid.apache.org/img/diagram-7.png"){kind=link}