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Revert "[ML-41] Revert to old oneCCL and Prepare for OAP 1.1" #49

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3 changes: 2 additions & 1 deletion .github/workflows/oap-mllib-ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -38,4 +38,5 @@ jobs:
source /opt/intel/oneapi/dal/latest/env/vars.sh
source /opt/intel/oneapi/tbb/latest/env/vars.sh
source /tmp/oneCCL/build/_install/env/setvars.sh
./test.sh
# temp disable and will enable for new release of oneCCL
#./build.sh
1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
*.o
*.log
.vscode
*.iml
target/
.idea/
.idea_modules/
19 changes: 12 additions & 7 deletions README.md
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Expand Up @@ -17,7 +17,7 @@ You can find the all the OAP MLlib documents on the [project web page](https://o

### Java/Scala Users Preferred

Use a pre-built OAP MLlib JAR to get started. You can firstly download OAP package from [OAP-JARs-Tarball](https://github.com/oap-mllib/releases/download/v1.1.0-spark-3.0.0/oap-1.1.0-bin-spark-3.0.0.tar.gz) and extract this Tarball to get `oap-mllib-x.x.x-with-spark-x.x.x.jar` under `oap-1.1.0-bin-spark-3.0.0/jars`.
Use a pre-built OAP MLlib JAR to get started. You can firstly download OAP package from [OAP-JARs-Tarball](https://github.com/Intel-bigdata/OAP/releases/download/v1.0.0-spark-3.0.0/oap-1.0.0-bin-spark-3.0.0.tar.gz) and extract this Tarball to get `oap-mllib-x.x.x-with-spark-x.x.x.jar` under `oap-1.0.0-bin-spark-3.0.0/jars`.

Then you can refer to the following [Running](#running) section to try out.

Expand Down Expand Up @@ -65,6 +65,14 @@ To use K-means example for sanity check, you need to upload a data file to your
$ ./run.sh
```

### Benchmark with HiBench
Use [Hibench](https://github.com/Intel-bigdata/HiBench) to generate dataset with various profiles, and change related variables in `run-XXX.sh` script when applicable. Then run the following commands:
```
$ cd oap-mllib/examples/kmeans-hibench
$ ./build.sh
$ ./run-hibench-oap-mllib.sh
```

### PySpark Support

As PySpark-based applications call their Scala couterparts, they shall be supported out-of-box. An example can be found in the [Examples](#examples) section.
Expand All @@ -87,7 +95,7 @@ Intel® oneAPI Toolkits and its components can be downloaded and install from [h

More details about oneAPI can be found [here](https://software.intel.com/content/www/us/en/develop/tools/oneapi.html).

You can also refer to [this script and comments in it](https://github.com/oap-project/oap-mllib/blob/branch-1.1-spark-3.x/dev/install-build-deps-centos.sh) to install correct oneAPI version and manually setup the environments.
You can also refer to [this script and comments in it](https://github.com/Intel-bigdata/OAP/blob/branch-1.0-spark-3.x/oap-mllib/dev/install-build-deps-centos.sh) to install correct oneAPI version and manually setup the environments.

Scala and Java dependency descriptions are already included in Maven POM file.

Expand Down Expand Up @@ -130,7 +138,7 @@ CCL_ROOT | Path to oneCCL home directory
We suggest you to source `setvars.sh` script into current shell to setup building environments as following:

```
$ source /opt/intel/oneapi/setvars.sh
$ source /opt/intel/inteloneapi/setvars.sh
$ source /your/oneCCL_source_code/build/_install/env/setvars.sh
```

Expand All @@ -152,11 +160,8 @@ Example | Description
----------------|---------------------------
kmeans | K-means example for Scala
kmeans-pyspark | K-means example for PySpark
pca | PCA example for Scala
pca-pyspark | PCA example for PySpark
kmeans-hibench | Use HiBench-generated input dataset to benchmark K-means performance

## List of Accelerated Algorithms

* K-Means (CPU, Experimental)
* PCA (CPU, Experimental)

2 changes: 1 addition & 1 deletion dev/install-build-deps-centos.sh
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ cd /tmp
rm -rf oneCCL
git clone https://github.com/oneapi-src/oneCCL
cd oneCCL
git checkout beta08
git checkout 2021.1
mkdir -p build && cd build
cmake ..
make -j 2 install
Expand Down
2 changes: 1 addition & 1 deletion dev/install-build-deps-ubuntu.sh
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ echo "Building oneCCL ..."
cd /tmp
git clone https://github.com/oneapi-src/oneCCL
cd oneCCL
git checkout beta08
git checkout 2021.1
mkdir build && cd build
cmake ..
make -j 2 install
Expand Down
6 changes: 6 additions & 0 deletions dev/test-cluster/config-ssh.sh
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@@ -0,0 +1,6 @@
#!/usr/bin/env bash

ssh-keygen -q -N "" -t rsa -f ~/.ssh/id_rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
echo " StrictHostKeyChecking no " | sudo tee -a /etc/ssh/ssh_config
sudo service ssh restart
24 changes: 24 additions & 0 deletions dev/test-cluster/core-site.xml
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@@ -0,0 +1,24 @@
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:8020</value>
</property>
</configuration>
22 changes: 22 additions & 0 deletions dev/test-cluster/envs.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
# Set user Spark and Hadoop home directory
export HADOOP_HOME=~/opt/hadoop-2.7.7
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export SPARK_HOME=~/opt/spark-3.0.0-bin-hadoop2.7

export PYTHONPATH=$SPARK_HOME/python:$PYTHONPATH
export PYSPARK_PYTHON=python3

# Set user HDFS Root
export HDFS_ROOT=hdfs://localhost:8020
export OAP_MLLIB_DATA_ROOT=OAPMLlib/Data
# Set user Intel MLlib Root directory
export OAP_MLLIB_ROOT=${GITHUB_WORKSPACE}

# Target jar built
OAP_MLLIB_JAR_NAME=oap-mllib-1.1.0.jar
OAP_MLLIB_JAR=$OAP_MLLIB_ROOT/mllib-dal/target/$OAP_MLLIB_JAR_NAME

# Use absolute path
SPARK_DRIVER_CLASSPATH=$OAP_MLLIB_JAR
# Use relative path
SPARK_EXECUTOR_CLASSPATH=./$OAP_MLLIB_JAR_NAME
99 changes: 99 additions & 0 deletions dev/test-cluster/hadoop-env.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,99 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.

# Set Hadoop-specific environment variables here.

# The only required environment variable is JAVA_HOME. All others are
# optional. When running a distributed configuration it is best to
# set JAVA_HOME in this file, so that it is correctly defined on
# remote nodes.

# The java implementation to use.
# export JAVA_HOME=${JAVA_HOME}
export JAVA_HOME=/usr/local/lib/jvm/openjdk8

# The jsvc implementation to use. Jsvc is required to run secure datanodes
# that bind to privileged ports to provide authentication of data transfer
# protocol. Jsvc is not required if SASL is configured for authentication of
# data transfer protocol using non-privileged ports.
#export JSVC_HOME=${JSVC_HOME}

export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}

# Extra Java CLASSPATH elements. Automatically insert capacity-scheduler.
for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; do
if [ "$HADOOP_CLASSPATH" ]; then
export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
else
export HADOOP_CLASSPATH=$f
fi
done

# The maximum amount of heap to use, in MB. Default is 1000.
#export HADOOP_HEAPSIZE=
#export HADOOP_NAMENODE_INIT_HEAPSIZE=""

# Extra Java runtime options. Empty by default.
export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"

# Command specific options appended to HADOOP_OPTS when specified
export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"

export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"

export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS"
export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"

# The following applies to multiple commands (fs, dfs, fsck, distcp etc)
export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS"
#HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"

# On secure datanodes, user to run the datanode as after dropping privileges.
# This **MUST** be uncommented to enable secure HDFS if using privileged ports
# to provide authentication of data transfer protocol. This **MUST NOT** be
# defined if SASL is configured for authentication of data transfer protocol
# using non-privileged ports.
export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}

# Where log files are stored. $HADOOP_HOME/logs by default.
#export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER

# Where log files are stored in the secure data environment.
export HADOOP_SECURE_DN_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}

###
# HDFS Mover specific parameters
###
# Specify the JVM options to be used when starting the HDFS Mover.
# These options will be appended to the options specified as HADOOP_OPTS
# and therefore may override any similar flags set in HADOOP_OPTS
#
# export HADOOP_MOVER_OPTS=""

###
# Advanced Users Only!
###

# The directory where pid files are stored. /tmp by default.
# NOTE: this should be set to a directory that can only be written to by
# the user that will run the hadoop daemons. Otherwise there is the
# potential for a symlink attack.
export HADOOP_PID_DIR=${HADOOP_PID_DIR}
export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}

# A string representing this instance of hadoop. $USER by default.
export HADOOP_IDENT_STRING=$USER
32 changes: 32 additions & 0 deletions dev/test-cluster/hdfs-site.xml
Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/tmp/run/hdfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/tmp/run/hdfs/datanode</value>
</property>
</configuration>
42 changes: 42 additions & 0 deletions dev/test-cluster/setup-cluster.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
#!/usr/bin/env bash

WORK_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"

cd $WORK_DIR

echo JAVA_HOME is $JAVA_HOME

mkdir ~/opt
cd ~/opt
wget https://archive.apache.org/dist/spark/spark-3.0.0/spark-3.0.0-bin-hadoop2.7.tgz
tar -xzf spark-3.0.0-bin-hadoop2.7.tgz
wget https://archive.apache.org/dist/hadoop/core/hadoop-2.7.7/hadoop-2.7.7.tar.gz
tar -xzf hadoop-2.7.7.tar.gz

cd $WORK_DIR

cp ./core-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
cp ./hdfs-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
cp ./yarn-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
cp ./hadoop-env.sh ~/opt/hadoop-2.7.7/etc/hadoop/
cp ./spark-defaults.conf ~/opt/spark-3.0.0-bin-hadoop2.7/conf

# create directories
mkdir -p /tmp/run/hdfs/namenode
mkdir -p /tmp/run/hdfs/datanode

# hdfs format
~/opt/hadoop-2.7.7/bin/hdfs namenode -format

export HADOOP_HOME=~/opt/hadoop-2.7.7
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export SPARK_HOME=~/opt/spark-3.0.0-bin-hadoop2.7

export PATH=$HADOOP_HOME/bin:$SPARK_HOME/bin:$PATH

# start hdfs and yarn
$HADOOP_HOME/sbin/start-dfs.sh
$HADOOP_HOME/sbin/start-yarn.sh

hadoop fs -ls /
yarn node -list
12 changes: 12 additions & 0 deletions dev/test-cluster/setup-python3-env.sh
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@@ -0,0 +1,12 @@
#!/usr/bin/env bash

sudo apt-get update
sudo apt-get install python3-pip python3-setuptools python3-wheel

pip3 install --user numpy

echo python is in $(which python)
python --version

echo python3 is in $(which python3)
python3 --version
34 changes: 34 additions & 0 deletions dev/test-cluster/spark-defaults.conf
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@@ -0,0 +1,34 @@
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#

# Default system properties included when running spark-submit.
# This is useful for setting default environmental settings.

# Example:
# spark.master spark://master:7077
# spark.eventLog.enabled true
# spark.eventLog.dir hdfs://namenode:8021/directory
# spark.serializer org.apache.spark.serializer.KryoSerializer
# spark.driver.memory 5g
# spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"

spark.master yarn
spark.serializer org.apache.spark.serializer.KryoSerializer
spark.driver.memory 3g
spark.executor.num 2
spark.executor.cores 1
spark.executor.memory 4g
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