Author: zkaoudi
Date: Tue Feb 4 20:52:24 2025
New Revision: 74705
Log:
Staging of rc5 of Wayang 1.0.0
Added:
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dev/incubator/wayang/1.0.0/rc5/README.md
dev/incubator/wayang/1.0.0/rc5/RELEASE_NOTES
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+# Apache Wayang (incubating) <img align="right" width="128px"
src="https://wayang.apache.org/img/wayang.png"; alt="Wayang Logo">
+
+## The first open-source cross-platform data processing system
+
+[](https://img.shields.io/maven-central/v/org.apache.wayang/wayang-core.svg)
+[](http://www.apache.org/licenses/LICENSE-2.0)
+[]()
+
+
+
+
+[](https://twitter.com/intent/tweet?text=Apache%20Wayang%20enables%20cross%20platform%20data%20processing,%20star%20it%20via:%20&url=https://github.com/apache/incubator-wayang&via=apachewayang&hashtags=dataprocessing,bigdata,analytics,hybridcloud,developers)
[](https://www.reddit.com/r/ApacheWayang/)
+## Table of contents
+ * [Description](#description)
+ * [Quick Guide for Running Wayang](#quick-guide-for-running-wayang)
+ * [Quick Guide for Developing with
Wayang](#quick-guide-for-developing-with-wayang)
+ * [Installing Wayang](#installing-wayang)
+ + [Requirements at Runtime](#requirements-at-runtime)
+ + [Validating the installation](#validating-the-installation)
+ * [Getting Started](#getting-started)
+ + [Prerequisites](#prerequisites)
+ + [Building](#building)
+ * [Running the tests](#running-the-tests)
+ * [Example Applications](#example-applications)
+ * [Built With](#built-with)
+ * [Contributing](#contributing)
+ * [Authors](#authors)
+ * [License](#license)
+
+## Description
+
+In contrast to traditional data processing systems that provide one dedicated
execution engine, Apache Wayang (incubating) can transparently and seamlessly
integrate multiple execution engines and use them to perform a single task. We
call this *cross-platform data processing*. In Wayang, users can specify any
data processing application using one of Wayang's APIs and then Wayang will
choose the data processing platform(s), e.g., Postgres or Apache Spark, that
best fits the application. Finally, Wayang will perform the execution, thereby
hiding the different platform-specific APIs and coordinating inter-platform
communication.
+
+Apache Wayang (incubating) aims at freeing data engineers and software
developers from the burden of learning all different data processing systems,
their APIs, strengths and weaknesses; the intricacies of coordinating and
integrating different processing platforms; and the inflexibility when trying a
fixed set of processing platforms. As of now, Wayang has built-in support for
the following processing platforms:
+- [Java
Streams](https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html)
+- [Apache Spark](https://spark.apache.org/)
+- [Apache Flink](https://flink.apache.org/)
+- [Apache Giraph](https://giraph.apache.org/)
+- [GraphChi](https://github.com/GraphChi/graphchi-java)
+- [Postgres](http://www.postgresql.org)
+- [SQLite](https://www.sqlite.org/)
+- [Apache Kafka](https://kafka.apache.org)
+
+Apache Wayang (incubating) can be used via the following APIs:
+- Java native
+- Java scala-like
+- Scala
+- SQL (limited support of simple select-project queries for now)
+
+## Quick Guide for Running Wayang
+
+For a quick guide on how to run WordCount see [here](guides/tutorial.md).
+
+## Quick Guide for Developing with Wayang
+
+For a quick guide on how to use Wayang in your Java/Scala project see
[here](guides/develop-with-Wayang.md).
+
+## Installing Wayang
+
+You first have to build the binaries as shown [here](guides/tutorial.md).
+Once you have the binaries built, follow these steps to install Wayang:
+
+```shell
+tar -xvf wayang-1.0.0-snapshot.tar.gz
+cd wayang-1.0.0-SNAPSHOT
+```
+
+In linux
+```shell
+echo "export WAYANG_HOME=$(pwd)" >> ~/.bashrc
+echo "export PATH=${PATH}:${WAYANG_HOME}/bin" >> ~/.bashrc
+source ~/.bashrc
+```
+In MacOS
+```shell
+echo "export WAYANG_HOME=$(pwd)" >> ~/.zshrc
+echo "export PATH=${PATH}:${WAYANG_HOME}/bin" >> ~/.zshrc
+source ~/.zshrc
+```
+
+### Requirements at Runtime
+
+Since Apache Wayang (incubating) is not an execution engine itself but rather
manages the execution engines for you, it is important to have the necessary
requirements installed.
+
+- Apache Wayang supports Java versions 8 and above. However, the Wayang team
recommends using Java version 11. Donât forget to set the `JAVA_HOME`
environment variable.
+- You need to install Apache Spark version 3 or higher. Donât forget to set
the `SPARK_HOME` environment variable.
+- You need to install Apache Hadoop version 3 or higher. Donât forget to set
the `HADOOP_HOME` environment variable.
+
+### Validating the installation
+
+To execute your first application with Apache Wayang, you need to execute your
program with the 'wayang-submit' command:
+
+```shell
+bin/wayang-submit org.apache.wayang.apps.wordcount.Main java
file://$(pwd)/README.md
+```
+
+## Getting Started
+
+Wayang is available via Maven Central. To use it with Maven, include the
following code snippet into your POM file:
+```xml
+<dependency>
+ <groupId>org.apache.wayang</groupId>
+ <artifactId>wayang-***</artifactId>
+ <version>1.0.0</version>
+</dependency>
+```
+Note the `***`: Wayang ships with multiple modules that can be included in
your app, depending on how you want to use it:
+* `wayang-core`: provides core data structures and the optimizer (required)
+* `wayang-basic`: provides common operators and data types for your apps
(recommended)
+* `wayang-api-scala-java`: provides an easy-to-use Scala and Java API to
assemble Wayang plans (recommended)
+* `wayang-java`, `wayang-spark`, `wayang-graphchi`, `wayang-sqlite3`,
`wayang-postgres`: adapters for the various supported processing platforms
+* `wayang-profiler`: provides functionality to learn operator and UDF cost
functions from historical execution data
+
+> **NOTE:** The module `wayang-api-scala-java` is intended to be used with
Java 11 and Scala 2.12.
+
+For the sake of version flexibility, you still have to include in the POM file
your Hadoop (`hadoop-hdfs` and `hadoop-common`) and Spark (`spark-core` and
`spark-graphx`) version of choice.
+
+In addition, you can obtain the most recent snapshot version of Wayang via
Sonatype's snapshot repository. Just include:
+```xml
+<repositories>
+ <repository>
+ <id>apache-snapshots</id>
+ <name>Apache Foundation Snapshot Repository</name>
+ <url>https://repository.apache.org/content/repositories/snapshots</url>
+ </repository>
+</repositories>
+```
+
+### Prerequisites
+Apache Wayang (incubating) is built with Java 11 and Scala 2.12. However, to
run Apache Wayang it is sufficient to have just Java 11 installed. Please also
consider that processing platforms employed by Wayang might have further
requirements.
+```
+Java 11
+[Scala 2.12]
+```
+
+> **NOTE:** In windows, you need to define the variable `HADOOP_HOME` with the
winutils.exe, an not official option to obtain [this
repository](https://github.com/steveloughran/winutils), or you can generate
your winutils.exe following the instructions in the repository. Also, you may
need to install
[msvcr100.dll](https://www.microsoft.com/en-us/download/details.aspx?id=26999)
+
+> **NOTE:** Make sure that the JAVA_HOME environment variable is set correctly
to Java 11 as the prerequisite checker script currently supports up to Java 11
and checks the latest version of Java if you have higher version installed. In
Linux, it is preferably to use the export JAVA_HOME method inside the project
folder. It is also recommended running './mvnw clean install' before opening
the project using IntelliJ.
+
+
+### Building
+
+If you need to rebuild Wayang, e.g., to use a different Scala version, you can
simply do so via Maven:
+
+1. Adapt the version variables (e.g., `spark.version`) in the main `pom.xml`
file.
+2. Build Wayang with the adapted versions.
+ ```shell
+ git clone https://github.com/apache/incubator-wayang.git
+ cd incubator-wayang
+ ./mvnw clean install -DskipTests
+ ```
+> **NOTE:** If you receive an error about not finding `MathExBaseVisitor`,
then the problem might be that you are trying to build from IntelliJ, without
Maven. MathExBaseVisitor is generated code, and a Maven build should generate
it automatically.
+
+> **NOTE:** In the current Maven setup, the version of scala is tied to the
Java version, you can compile the profile `scala-11` with Java 8 and profile
`scala-12` with Java 11.
+
+> **NOTE:** For compiling and testing the code it is required to have Hadoop
installed on your machine.
+
+> **NOTE:** the `standalone` profile to fix Hadoop and Spark versions, so
that Wayang apps do not explicitly need to declare the corresponding
dependencies.
+>
+> Also, note the `distro` profile, which assembles a binary Wayang
distribution.
+To activate these profiles, you need to specify them when running maven, i.e.,
+
+```shell
+./mvnw clean install -DskipTests -P<profile name>
+```
+
+## Running the tests
+In the incubator-wayang root folder run:
+```shell
+./mvnw test
+```
+
+## Example Applications
+You can see examples on how to start using Wayang
[here](guides/wayang-examples.md)
+
+## Built With
+
+* [Java
11](https://www.oracle.com/de/java/technologies/javase/jdk11-archive-downloads.html)
+* [Scala 2.12](https://www.scala-lang.org/download/2.12.0.html)
+* [Maven](https://maven.apache.org/)
+
+## Contributing
+Before submitting a PR, please take a look on how to contribute with Apache
Wayang contributing guidelines [here](CONTRIBUTING.md).
+
+There is also a guide on how to compile your code
[here](guides/develop-in-Wayang.md).
+## Authors
+The list of
[contributors](https://github.com/apache/incubator-wayang/graphs/contributors).
+
+## License
+All files in this repository are licensed under the Apache Software License 2.0
+
+Copyright 2020 - 2024 The Apache Software Foundation.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+## Acknowledgements
+The
[Logo](http://wayang.apache.org/assets/img/logo/Apache_Wayang/Apache_Wayang.pdf)
was donated by Brian Vera.
Added: dev/incubator/wayang/1.0.0/rc5/RELEASE_NOTES
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+==============================================================
+Apache Wayang (incubating) 1.0.0
+==============================================================
+
+This is a major release of Apache Wayang (incubating).
+Based on this release the projects wants to continue the path towards becoming
an
+Apache TLP.
+
+This release supports the following new features:
+- Support for Tensorflow Java as a platform (Note: this platform is not
compatible with Apple's M1 chip)
+- Support for Kafka source/sink
+- Python API
+- MultiContext for federated data processing
+- Explain utility for displaying execution plans
+- Abstracted cost model to be pluggable
+- Retired Java 8/Scala 2.11
+- Added Join operator for JDBC and Postgres platforms
+- Support for any JDBC-supported database
+- Added ML4all abstraction
+
+Several bug fixes are also included:
+- Aligned Flink versions
+- Fixed CardinalityRepository to sample measured cardinalities
+- Copied cost models for different configurations
+
+
+==============================================================
+Apache Wayang (incubating) 0.7.1
+==============================================================
+
+This is a patch/bugfix release of Apache Wayang (incubating).
+
+This release supports the following frameworks:
+- This patch version fixes a problem in the artifact gpg encrypting key.
+
+Previous updates that are included in this release:
+- Apache Flink v1.7.1
+- Apache Giraph v1.2.0-hadoop2
+- GraphChi v0.2.2 (only available with scala 11.x)
+- Java Streams (version depends on the java version)
+- JDBC-Template
+- Postgres v9.4.1208 (Implementation JDBC-Template)
+- Apache Spark v3.1.2 (scala 2.12) and v2.4.8 (scala 2.11)
+- SQLite3 v3.8.11.2 (implementation JDBC-Template)
+
+NOTE: depending on the scala version the list of the supported platforms
available
+could be different.
+
+
+New Features
+------------
+[WAYANG-34] Terasort
+[WAYANG-IDE] Recognition of Scala code in IDE
+[WAYANG-8] Inclusion of Python as platform of processing
+[WAYANG-211] JVM-platform inside of Python-API
+Grep Benchmark
+Test classes and operators for Flink
+Support for S3 files locations
+Initial version of the SQL API and suppport for joins
+
+Basic SQL support
+
+Incompatible changes
+--------------------
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