This is an automated email from the ASF dual-hosted git repository.
mgrigorov pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/avro.git
The following commit(s) were added to refs/heads/main by this push:
new 221057dfa Replace '++version++' to the respective version for released
versions
221057dfa is described below
commit 221057dfa50209ae7edc9c6c0b637e15902c3516
Author: Martin Tzvetanov Grigorov <[email protected]>
AuthorDate: Mon Aug 26 09:40:09 2024 +0300
Replace '++version++' to the respective version for released versions
Signed-off-by: Martin Tzvetanov Grigorov <[email protected]>
---
doc/content/en/docs/1.11.1/Getting started (Java)/_index.md | 10 +++++-----
doc/content/en/docs/1.11.1/Getting started (Python)/_index.md | 6 +++---
doc/content/en/docs/1.11.1/MapReduce guide/_index.md | 10 +++++-----
doc/content/en/docs/1.11.2/Getting started (Java)/_index.md | 10 +++++-----
doc/content/en/docs/1.11.2/Getting started (Python)/_index.md | 6 +++---
doc/content/en/docs/1.11.2/MapReduce guide/_index.md | 10 +++++-----
doc/content/en/docs/1.11.3/Getting started (Java)/_index.md | 10 +++++-----
doc/content/en/docs/1.11.3/Getting started (Python)/_index.md | 6 +++---
doc/content/en/docs/1.11.3/MapReduce guide/_index.md | 10 +++++-----
doc/content/en/docs/1.12.0/Getting started (Java)/_index.md | 10 +++++-----
doc/content/en/docs/1.12.0/Getting started (Python)/_index.md | 6 +++---
doc/content/en/docs/1.12.0/MapReduce guide/_index.md | 10 +++++-----
12 files changed, 52 insertions(+), 52 deletions(-)
diff --git a/doc/content/en/docs/1.11.1/Getting started (Java)/_index.md
b/doc/content/en/docs/1.11.1/Getting started (Java)/_index.md
index f3944cf02..7731dae06 100644
--- a/doc/content/en/docs/1.11.1/Getting started (Java)/_index.md
+++ b/doc/content/en/docs/1.11.1/Getting started (Java)/_index.md
@@ -31,7 +31,7 @@ This is a short guide for getting started with Apache Avro™
using Java. This g
## Download
-Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro {{< avro_version >}}, the latest version at the time
of writing. For the examples in this guide, download avro-{{< avro_version
>}}.jar and avro-tools-{{< avro_version >}}.jar.
+Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro 1.11.1, the latest version at the time of writing.
For the examples in this guide, download avro-1.11.1.jar and
avro-tools-1.11.1.jar.
Alternatively, if you are using Maven, add the following dependency to your
POM:
@@ -39,7 +39,7 @@ Alternatively, if you are using Maven, add the following
dependency to your POM:
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.1</version>
</dependency>
```
@@ -49,7 +49,7 @@ As well as the Avro Maven plugin (for performing code
generation):
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.1</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -101,13 +101,13 @@ Fields are defined via an array of objects, each of which
defines a name and typ
Code generation allows us to automatically create classes based on our
previously-defined schema. Once we have defined the relevant classes, there is
no need to use the schema directly in our programs. We use the avro-tools jar
to generate code as follows:
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema <schema
file> <destination>
+java -jar /path/to/avro-tools-1.11.1.jar compile schema <schema file>
<destination>
```
This will generate the appropriate source files in a package based on the
schema's namespace in the provided destination folder. For instance, to
generate a User class in package example.avro from the schema defined above, run
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema
user.avsc .
+java -jar /path/to/avro-tools-1.11.1.jar compile schema user.avsc .
```
Note that if you using the Avro Maven plugin, there is no need to manually
invoke the schema compiler; the plugin automatically performs code generation
on any .avsc files present in the configured source directory.
diff --git a/doc/content/en/docs/1.11.1/Getting started (Python)/_index.md
b/doc/content/en/docs/1.11.1/Getting started (Python)/_index.md
index ded4aca5d..26c36f0f1 100644
--- a/doc/content/en/docs/1.11.1/Getting started (Python)/_index.md
+++ b/doc/content/en/docs/1.11.1/Getting started (Python)/_index.md
@@ -39,11 +39,11 @@ For Python, the easiest way to get started is to install it
from PyPI. Python's
$ python3 -m pip install avro
```
-The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro {{< avro_version >}}, the latest version at the time of
writing. Download and unzip avro-{{< avro_version >}}.tar.gz, and install via
python setup.py (this will probably require root privileges). Ensure that you
can import avro from a Python prompt.
+The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro 1.11.1, the latest version at the time of writing. Download and
unzip avro-1.11.1.tar.gz, and install via python setup.py (this will probably
require root privileges). Ensure that you can import avro from a Python prompt.
```shell
-$ tar xvf avro-{{< avro_version >}}.tar.gz
-$ cd avro-{{< avro_version >}}
+$ tar xvf avro-1.11.1.tar.gz
+$ cd avro-1.11.1
$ python setup.py install
$ python
>>> import avro # should not raise ImportError
diff --git a/doc/content/en/docs/1.11.1/MapReduce guide/_index.md
b/doc/content/en/docs/1.11.1/MapReduce guide/_index.md
index f262bc6e2..e51def021 100644
--- a/doc/content/en/docs/1.11.1/MapReduce guide/_index.md
+++ b/doc/content/en/docs/1.11.1/MapReduce guide/_index.md
@@ -35,12 +35,12 @@ The code from this guide is included in the Avro docs under
examples/mr-example.
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.1</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
@@ -53,7 +53,7 @@ And the following plugin:
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.1</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -71,7 +71,7 @@ And the following plugin:
If you do not configure the *sourceDirectory* and *outputDirectory*
properties, the defaults will be used. The *sourceDirectory* property defaults
to *src/main/avro*. The *outputDirectory* property defaults to
*target/generated-sources*. You can change the paths to match your project
layout.
-Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-{{< avro_version >}}.jar* and *avro-mapred-{{<
avro_version >}}.jar*, as well as *avro-tools-{{< avro_version >}}.jar* for
code generation and viewing Avro data files as JSON. In addition, you will need
to install Hadoop in order to use MapReduce.
+Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-1.11.1.jar* and *avro-mapred-1.11.1.jar*, as well as
*avro-tools-1.11.1.jar* for code generation and viewing Avro data files as
JSON. In addition, you will need to install Hadoop in order to use MapReduce.
## Example: ColorCount
Below is a simple example of a MapReduce that uses Avro. There is an example
for both the old (org.apache.hadoop.mapred) and new
(org.apache.hadoop.mapreduce) APIs under
*examples/mr-example/src/main/java/example/*. _MapredColorCount_ is the example
for the older mapred API while _MapReduceColorCount_ is the example for the
newer mapreduce API. Both examples are below, but we will detail the mapred API
in our subsequent examples.
@@ -291,7 +291,7 @@ part-00000.avro _SUCCESS
```
You can check the contents of the generated Avro file using the avro-tools jar:
```shell
-$ java -jar /path/to/avro-tools-{{< avro_version >}}.jar tojson
output/part-00000.avro
+$ java -jar /path/to/avro-tools-1.11.1.jar tojson output/part-00000.avro
{"value": 3, "key": "blue"}
{"value": 7, "key": "green"}
{"value": 1, "key": "none"}
diff --git a/doc/content/en/docs/1.11.2/Getting started (Java)/_index.md
b/doc/content/en/docs/1.11.2/Getting started (Java)/_index.md
index f3944cf02..20a680b1d 100644
--- a/doc/content/en/docs/1.11.2/Getting started (Java)/_index.md
+++ b/doc/content/en/docs/1.11.2/Getting started (Java)/_index.md
@@ -31,7 +31,7 @@ This is a short guide for getting started with Apache Avro™
using Java. This g
## Download
-Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro {{< avro_version >}}, the latest version at the time
of writing. For the examples in this guide, download avro-{{< avro_version
>}}.jar and avro-tools-{{< avro_version >}}.jar.
+Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro 1.11.2, the latest version at the time of writing.
For the examples in this guide, download avro-1.11.2.jar and
avro-tools-1.11.2.jar.
Alternatively, if you are using Maven, add the following dependency to your
POM:
@@ -39,7 +39,7 @@ Alternatively, if you are using Maven, add the following
dependency to your POM:
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.2</version>
</dependency>
```
@@ -49,7 +49,7 @@ As well as the Avro Maven plugin (for performing code
generation):
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.2</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -101,13 +101,13 @@ Fields are defined via an array of objects, each of which
defines a name and typ
Code generation allows us to automatically create classes based on our
previously-defined schema. Once we have defined the relevant classes, there is
no need to use the schema directly in our programs. We use the avro-tools jar
to generate code as follows:
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema <schema
file> <destination>
+java -jar /path/to/avro-tools-1.11.2.jar compile schema <schema file>
<destination>
```
This will generate the appropriate source files in a package based on the
schema's namespace in the provided destination folder. For instance, to
generate a User class in package example.avro from the schema defined above, run
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema
user.avsc .
+java -jar /path/to/avro-tools-1.11.2.jar compile schema user.avsc .
```
Note that if you using the Avro Maven plugin, there is no need to manually
invoke the schema compiler; the plugin automatically performs code generation
on any .avsc files present in the configured source directory.
diff --git a/doc/content/en/docs/1.11.2/Getting started (Python)/_index.md
b/doc/content/en/docs/1.11.2/Getting started (Python)/_index.md
index f11fcc051..96ae73660 100644
--- a/doc/content/en/docs/1.11.2/Getting started (Python)/_index.md
+++ b/doc/content/en/docs/1.11.2/Getting started (Python)/_index.md
@@ -39,11 +39,11 @@ For Python, the easiest way to get started is to install it
from PyPI. Python's
$ python3 -m pip install avro
```
-The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro {{< avro_version >}}, the latest version at the time of
writing. Download and unzip avro-{{< avro_version >}}.tar.gz, and install via
python setup.py (this will probably require root privileges). Ensure that you
can import avro from a Python prompt.
+The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro 1.11.2, the latest version at the time of writing. Download and
unzip avro-1.11.2.tar.gz, and install via python setup.py (this will probably
require root privileges). Ensure that you can import avro from a Python prompt.
```shell
-$ tar xvf avro-{{< avro_version >}}.tar.gz
-$ cd avro-{{< avro_version >}}
+$ tar xvf avro-1.11.2.tar.gz
+$ cd avro-1.11.2
$ python setup.py install
$ python
>>> import avro # should not raise ImportError
diff --git a/doc/content/en/docs/1.11.2/MapReduce guide/_index.md
b/doc/content/en/docs/1.11.2/MapReduce guide/_index.md
index f262bc6e2..5e767936c 100644
--- a/doc/content/en/docs/1.11.2/MapReduce guide/_index.md
+++ b/doc/content/en/docs/1.11.2/MapReduce guide/_index.md
@@ -35,12 +35,12 @@ The code from this guide is included in the Avro docs under
examples/mr-example.
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.2</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.2</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
@@ -53,7 +53,7 @@ And the following plugin:
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.2</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -71,7 +71,7 @@ And the following plugin:
If you do not configure the *sourceDirectory* and *outputDirectory*
properties, the defaults will be used. The *sourceDirectory* property defaults
to *src/main/avro*. The *outputDirectory* property defaults to
*target/generated-sources*. You can change the paths to match your project
layout.
-Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-{{< avro_version >}}.jar* and *avro-mapred-{{<
avro_version >}}.jar*, as well as *avro-tools-{{< avro_version >}}.jar* for
code generation and viewing Avro data files as JSON. In addition, you will need
to install Hadoop in order to use MapReduce.
+Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-1.11.2.jar* and *avro-mapred-1.11.2.jar*, as well as
*avro-tools-1.11.2.jar* for code generation and viewing Avro data files as
JSON. In addition, you will need to install Hadoop in order to use MapReduce.
## Example: ColorCount
Below is a simple example of a MapReduce that uses Avro. There is an example
for both the old (org.apache.hadoop.mapred) and new
(org.apache.hadoop.mapreduce) APIs under
*examples/mr-example/src/main/java/example/*. _MapredColorCount_ is the example
for the older mapred API while _MapReduceColorCount_ is the example for the
newer mapreduce API. Both examples are below, but we will detail the mapred API
in our subsequent examples.
@@ -291,7 +291,7 @@ part-00000.avro _SUCCESS
```
You can check the contents of the generated Avro file using the avro-tools jar:
```shell
-$ java -jar /path/to/avro-tools-{{< avro_version >}}.jar tojson
output/part-00000.avro
+$ java -jar /path/to/avro-tools-1.11.2.jar tojson output/part-00000.avro
{"value": 3, "key": "blue"}
{"value": 7, "key": "green"}
{"value": 1, "key": "none"}
diff --git a/doc/content/en/docs/1.11.3/Getting started (Java)/_index.md
b/doc/content/en/docs/1.11.3/Getting started (Java)/_index.md
index f3944cf02..60e3a8273 100644
--- a/doc/content/en/docs/1.11.3/Getting started (Java)/_index.md
+++ b/doc/content/en/docs/1.11.3/Getting started (Java)/_index.md
@@ -31,7 +31,7 @@ This is a short guide for getting started with Apache Avro™
using Java. This g
## Download
-Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro {{< avro_version >}}, the latest version at the time
of writing. For the examples in this guide, download avro-{{< avro_version
>}}.jar and avro-tools-{{< avro_version >}}.jar.
+Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro 1.11.3, the latest version at the time of writing.
For the examples in this guide, download avro-1.11.3.jar and
avro-tools-1.11.3.jar.
Alternatively, if you are using Maven, add the following dependency to your
POM:
@@ -39,7 +39,7 @@ Alternatively, if you are using Maven, add the following
dependency to your POM:
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.3</version>
</dependency>
```
@@ -49,7 +49,7 @@ As well as the Avro Maven plugin (for performing code
generation):
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.3</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -101,13 +101,13 @@ Fields are defined via an array of objects, each of which
defines a name and typ
Code generation allows us to automatically create classes based on our
previously-defined schema. Once we have defined the relevant classes, there is
no need to use the schema directly in our programs. We use the avro-tools jar
to generate code as follows:
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema <schema
file> <destination>
+java -jar /path/to/avro-tools-1.11.3.jar compile schema <schema file>
<destination>
```
This will generate the appropriate source files in a package based on the
schema's namespace in the provided destination folder. For instance, to
generate a User class in package example.avro from the schema defined above, run
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema
user.avsc .
+java -jar /path/to/avro-tools-1.11.3.jar compile schema user.avsc .
```
Note that if you using the Avro Maven plugin, there is no need to manually
invoke the schema compiler; the plugin automatically performs code generation
on any .avsc files present in the configured source directory.
diff --git a/doc/content/en/docs/1.11.3/Getting started (Python)/_index.md
b/doc/content/en/docs/1.11.3/Getting started (Python)/_index.md
index f11fcc051..8675b399f 100644
--- a/doc/content/en/docs/1.11.3/Getting started (Python)/_index.md
+++ b/doc/content/en/docs/1.11.3/Getting started (Python)/_index.md
@@ -39,11 +39,11 @@ For Python, the easiest way to get started is to install it
from PyPI. Python's
$ python3 -m pip install avro
```
-The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro {{< avro_version >}}, the latest version at the time of
writing. Download and unzip avro-{{< avro_version >}}.tar.gz, and install via
python setup.py (this will probably require root privileges). Ensure that you
can import avro from a Python prompt.
+The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro 1.11.3, the latest version at the time of writing. Download and
unzip avro-1.11.3.tar.gz, and install via python setup.py (this will probably
require root privileges). Ensure that you can import avro from a Python prompt.
```shell
-$ tar xvf avro-{{< avro_version >}}.tar.gz
-$ cd avro-{{< avro_version >}}
+$ tar xvf avro-1.11.3.tar.gz
+$ cd avro-1.11.3
$ python setup.py install
$ python
>>> import avro # should not raise ImportError
diff --git a/doc/content/en/docs/1.11.3/MapReduce guide/_index.md
b/doc/content/en/docs/1.11.3/MapReduce guide/_index.md
index f262bc6e2..0d2df4db1 100644
--- a/doc/content/en/docs/1.11.3/MapReduce guide/_index.md
+++ b/doc/content/en/docs/1.11.3/MapReduce guide/_index.md
@@ -35,12 +35,12 @@ The code from this guide is included in the Avro docs under
examples/mr-example.
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.3</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.3</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
@@ -53,7 +53,7 @@ And the following plugin:
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.11.3</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -71,7 +71,7 @@ And the following plugin:
If you do not configure the *sourceDirectory* and *outputDirectory*
properties, the defaults will be used. The *sourceDirectory* property defaults
to *src/main/avro*. The *outputDirectory* property defaults to
*target/generated-sources*. You can change the paths to match your project
layout.
-Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-{{< avro_version >}}.jar* and *avro-mapred-{{<
avro_version >}}.jar*, as well as *avro-tools-{{< avro_version >}}.jar* for
code generation and viewing Avro data files as JSON. In addition, you will need
to install Hadoop in order to use MapReduce.
+Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-1.11.3.jar* and *avro-mapred-1.11.3.jar*, as well as
*avro-tools-1.11.3.jar* for code generation and viewing Avro data files as
JSON. In addition, you will need to install Hadoop in order to use MapReduce.
## Example: ColorCount
Below is a simple example of a MapReduce that uses Avro. There is an example
for both the old (org.apache.hadoop.mapred) and new
(org.apache.hadoop.mapreduce) APIs under
*examples/mr-example/src/main/java/example/*. _MapredColorCount_ is the example
for the older mapred API while _MapReduceColorCount_ is the example for the
newer mapreduce API. Both examples are below, but we will detail the mapred API
in our subsequent examples.
@@ -291,7 +291,7 @@ part-00000.avro _SUCCESS
```
You can check the contents of the generated Avro file using the avro-tools jar:
```shell
-$ java -jar /path/to/avro-tools-{{< avro_version >}}.jar tojson
output/part-00000.avro
+$ java -jar /path/to/avro-tools-1.11.3.jar tojson output/part-00000.avro
{"value": 3, "key": "blue"}
{"value": 7, "key": "green"}
{"value": 1, "key": "none"}
diff --git a/doc/content/en/docs/1.12.0/Getting started (Java)/_index.md
b/doc/content/en/docs/1.12.0/Getting started (Java)/_index.md
index 429e98376..c40226853 100644
--- a/doc/content/en/docs/1.12.0/Getting started (Java)/_index.md
+++ b/doc/content/en/docs/1.12.0/Getting started (Java)/_index.md
@@ -31,7 +31,7 @@ This is a short guide for getting started with Apache Avro™
using Java. This g
## Download
-Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro {{< avro_version >}}, the latest version at the time
of writing. For the examples in this guide, download avro-{{< avro_version
>}}.jar and avro-tools-{{< avro_version >}}.jar.
+Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be
downloaded from the [Apache Avro™ Download]({{< relref "/project/download" >}})
page. This guide uses Avro 1.12.0, the latest version at the time of writing.
For the examples in this guide, download avro-1.12.0.jar and
avro-tools-1.12.0.jar.
Alternatively, if you are using Maven, add the following dependency to your
POM:
@@ -39,7 +39,7 @@ Alternatively, if you are using Maven, add the following
dependency to your POM:
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.12.0</version>
</dependency>
```
@@ -49,7 +49,7 @@ As well as the Avro Maven plugin (for performing code
generation):
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.12.0</version>
<configuration>
<sourceDirectory>${project.basedir}/src/main/avro/</sourceDirectory>
<outputDirectory>${project.basedir}/src/main/java/</outputDirectory>
@@ -101,13 +101,13 @@ Fields are defined via an array of objects, each of which
defines a name and typ
Code generation allows us to automatically create classes based on our
previously-defined schema. Once we have defined the relevant classes, there is
no need to use the schema directly in our programs. We use the avro-tools jar
to generate code as follows:
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema <schema
file> <destination>
+java -jar /path/to/avro-tools-1.12.0.jar compile schema <schema file>
<destination>
```
This will generate the appropriate source files in a package based on the
schema's namespace in the provided destination folder. For instance, to
generate a User class in package example.avro from the schema defined above, run
```shell
-java -jar /path/to/avro-tools-{{< avro_version >}}.jar compile schema
user.avsc .
+java -jar /path/to/avro-tools-1.12.0.jar compile schema user.avsc .
```
Note that if you using the Avro Maven plugin, there is no need to manually
invoke the schema compiler; the plugin automatically performs code generation
on any .avsc files present in the configured source directory.
diff --git a/doc/content/en/docs/1.12.0/Getting started (Python)/_index.md
b/doc/content/en/docs/1.12.0/Getting started (Python)/_index.md
index 44e3a8f37..8ec8f6d4e 100644
--- a/doc/content/en/docs/1.12.0/Getting started (Python)/_index.md
+++ b/doc/content/en/docs/1.12.0/Getting started (Python)/_index.md
@@ -39,11 +39,11 @@ For Python, the easiest way to get started is to install it
from PyPI. Python's
$ python3 -m pip install avro
```
-The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro {{< avro_version >}}, the latest version at the time of
writing. Download and unzip avro-{{< avro_version >}}.tar.gz, and install via
python setup.py (this will probably require root privileges). Ensure that you
can import avro from a Python prompt.
+The official releases of the Avro implementations for C, C++, C#, Java, PHP,
Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This
guide uses Avro 1.12.0, the latest version at the time of writing. Download and
unzip avro-1.12.0.tar.gz, and install via python setup.py (this will probably
require root privileges). Ensure that you can import avro from a Python prompt.
```shell
-$ tar xvf avro-{{< avro_version >}}.tar.gz
-$ cd avro-{{< avro_version >}}
+$ tar xvf avro-1.12.0.tar.gz
+$ cd avro-1.12.0
$ python setup.py install
$ python
>>> import avro # should not raise ImportError
diff --git a/doc/content/en/docs/1.12.0/MapReduce guide/_index.md
b/doc/content/en/docs/1.12.0/MapReduce guide/_index.md
index f262bc6e2..fdae67a78 100644
--- a/doc/content/en/docs/1.12.0/MapReduce guide/_index.md
+++ b/doc/content/en/docs/1.12.0/MapReduce guide/_index.md
@@ -35,12 +35,12 @@ The code from this guide is included in the Avro docs under
examples/mr-example.
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-mapred</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
@@ -53,7 +53,7 @@ And the following plugin:
<plugin>
<groupId>org.apache.avro</groupId>
<artifactId>avro-maven-plugin</artifactId>
- <version>{{< avro_version >}}</version>
+ <version>1.12.0</version>
<executions>
<execution>
<phase>generate-sources</phase>
@@ -71,7 +71,7 @@ And the following plugin:
If you do not configure the *sourceDirectory* and *outputDirectory*
properties, the defaults will be used. The *sourceDirectory* property defaults
to *src/main/avro*. The *outputDirectory* property defaults to
*target/generated-sources*. You can change the paths to match your project
layout.
-Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-{{< avro_version >}}.jar* and *avro-mapred-{{<
avro_version >}}.jar*, as well as *avro-tools-{{< avro_version >}}.jar* for
code generation and viewing Avro data files as JSON. In addition, you will need
to install Hadoop in order to use MapReduce.
+Alternatively, Avro jars can be downloaded directly from the Apache Avro™
Releases [page](https://avro.apache.org/releases.html). The relevant Avro jars
for this guide are *avro-1.12.0.jar* and *avro-mapred-1.12.0.jar*, as well as
*avro-tools-1.12.0.jar* for code generation and viewing Avro data files as
JSON. In addition, you will need to install Hadoop in order to use MapReduce.
## Example: ColorCount
Below is a simple example of a MapReduce that uses Avro. There is an example
for both the old (org.apache.hadoop.mapred) and new
(org.apache.hadoop.mapreduce) APIs under
*examples/mr-example/src/main/java/example/*. _MapredColorCount_ is the example
for the older mapred API while _MapReduceColorCount_ is the example for the
newer mapreduce API. Both examples are below, but we will detail the mapred API
in our subsequent examples.
@@ -291,7 +291,7 @@ part-00000.avro _SUCCESS
```
You can check the contents of the generated Avro file using the avro-tools jar:
```shell
-$ java -jar /path/to/avro-tools-{{< avro_version >}}.jar tojson
output/part-00000.avro
+$ java -jar /path/to/avro-tools-1.12.0.jar tojson output/part-00000.avro
{"value": 3, "key": "blue"}
{"value": 7, "key": "green"}
{"value": 1, "key": "none"}
