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Makefile
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.PHONY: clean
clean:
find . \( -name \*.pyc -o -name \*.pyo -o -name __pycache__ \) -prune -exec rm -rf {} +
.PHONY: up
up:
mkdir -p ../albedo-vendors/bin
mkdir -p ../albedo-vendors/dist-packages
docker-compose up
.PHONY: stop
stop:
docker-compose stop
.PHONY: attach
attach:
docker exec -i -t albedo_django_1 bash
.PHONY: install
install:
docker exec -i -t albedo_django_1 pip install -r requirements.txt
.PHONY: run
run:
docker exec -i -t albedo_django_1 python manage.py runserver 0.0.0.0:8000
.PHONY: spark_start
spark_start:
cd ${SPARK_HOME} && ./sbin/start-master.sh -h 0.0.0.0
cd ${SPARK_HOME} && ./sbin/start-slave.sh spark://localhost:7077
.PHONY: spark_stop
spark_stop:
cd ${SPARK_HOME} && ./sbin/stop-master.sh
cd ${SPARK_HOME} && ./sbin/stop-slave.sh
.PHONY: pyspark_notebook
pyspark_notebook:
find . -name __pycache__ | xargs rm -Rf
cd src/main/python/deps/ && zip -r ../deps.zip *
PYSPARK_DRIVER_PYTHON="jupyter" \
PYSPARK_DRIVER_PYTHON_OPTS="notebook --ip 0.0.0.0" \
pyspark \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--py-files src/main/python/deps.zip
.PHONY: zeppelin_start
zeppelin_start:
zeppelin-daemon.sh start
open http://localhost:8080/
open http://localhost:4040/jobs/
.PHONY: zeppelin_stop
zeppelin_stop:
zeppelin-daemon.sh stop
.PHONY: build_jar
build_jar:
mvn clean package -DskipTests
.PHONY: play
play:
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.Playground \
target/albedo-1.0.0-SNAPSHOT.jar
.PHONY: baseline
baseline:
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.PopularityRecommenderTrainer \
target/albedo-1.0.0-SNAPSHOT.jar
.PHONY: build_user_profile
build_user_profile:
ifeq ($(platform),gcp)
# 5 min 18 sec
time gcloud dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--class ws.vinta.albedo.UserProfileBuilder \
--jars target/albedo-1.0.0-SNAPSHOT.jar
else
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.UserProfileBuilder \
target/albedo-1.0.0-SNAPSHOT.jar
endif
.PHONY: build_repo_profile
build_repo_profile:
ifeq ($(platform),gcp)
# 3 min 8 sec
time gcloud dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--class ws.vinta.albedo.RepoProfileBuilder \
--jars target/albedo-1.0.0-SNAPSHOT.jar
else
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.RepoProfileBuilder \
target/albedo-1.0.0-SNAPSHOT.jar
endif
.PHONY: train_als
train_als:
ifeq ($(platform),gcp)
# 10 min 19 sec
time gcloud dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--class ws.vinta.albedo.ALSRecommenderBuilder \
--jars target/albedo-1.0.0-SNAPSHOT.jar
else
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.ALSRecommenderBuilder \
target/albedo-1.0.0-SNAPSHOT.jar
endif
.PHONY: cv_als
cv_als:
time gcloud beta dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--jars target/albedo-1.0.0-SNAPSHOT.jar \
--class ws.vinta.albedo.ALSRecommenderCV
.PHONY: build_cb
build_cb:
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,org.apache.httpcomponents:httpclient:4.5.2,org.elasticsearch.client:elasticsearch-rest-high-level-client:5.6.2,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.ContentRecommenderBuilder \
target/albedo-1.0.0-SNAPSHOT.jar
.PHONY: train_word2vec
train_word2vec:
ifeq ($(platform),gcp)
# 38 min 58 sec
time gcloud dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.jars.packages=com.hankcs:hanlp:portable-1.3.4;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--class ws.vinta.albedo.Word2VecCorpusBuilder \
--jars target/albedo-1.0.0-SNAPSHOT.jar
else
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,com.hankcs:hanlp:portable-1.3.4,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.Word2VecCorpusBuilder \
target/albedo-1.0.0-SNAPSHOT.jar
endif
.PHONY: train_lr
train_lr:
ifeq ($(platform),gcp)
# 1 hr 35 min
time gcloud beta dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.jars.packages=com.hankcs:hanlp:portable-1.3.4;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--jars target/albedo-1.0.0-SNAPSHOT.jar \
--class ws.vinta.albedo.LogisticRegressionRanker
else
time spark-submit \
--verbose \
--driver-memory 2g \
--total-executor-cores 3 \
--executor-cores 3 \
--executor-memory 12g \
--master spark://localhost:7077 \
--packages "com.github.fommil.netlib:all:1.1.2,com.hankcs:hanlp:portable-1.3.4,mysql:mysql-connector-java:5.1.41" \
--class ws.vinta.albedo.LogisticRegressionRanker \
target/albedo-1.0.0-SNAPSHOT.jar
endif
.PHONY: cv_lr
cv_lr:
time gcloud beta dataproc jobs submit spark \
--verbosity debug \
--cluster albedo \
--properties "^;^spark.albedo.checkpointDir=gs://albedo/spark-data/checkpoint;spark.albedo.dataDir=gs://albedo/spark-data;spark.driver.memory=6g;spark.executor.cores=5;spark.executor.instances=4;spark.executor.memory=21g;spark.jars.packages=com.hankcs:hanlp:portable-1.3.4;spark.logConf=true;spark.serializer=org.apache.spark.serializer.KryoSerializer" \
--jars target/albedo-1.0.0-SNAPSHOT.jar \
--class ws.vinta.albedo.LogisticRegressionRankerCV