Spark-ml模型保存为PMML格式,PMML version不兼容问题。
前言
最近使用spark-ml做数据模型训练,考虑到怎么把模型部署到线上环境。
本尝试spring-boot启动spark-local模式预测,发现线上预测需要200ms~300ms,耗时太多。
所以考虑把spark模型转换为pmml格式。
我的spark集群版本为2.1.3
本机local模式
采用了JPMML-SparkML,本地环境配置如下:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<groupId>org.jpmml</groupId>
<artifactId>pmml-model</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.jpmml</groupId>
<artifactId>jpmml-sparkml</artifactId>
<version>1.2.13</version>
</dependency>
local模式保存为pmml代码:
import org.dmg.pmml.PMML;
import org.jpmml.model.JAXBUtil;
import org.jpmml.sparkml.PMMLBuilder;
...
StructType schema = trainData.schema();
PMML pmml = new PMMLBuilder(schema, pipelineModel).build();
String targetFile = "D://model/pmml/pipemodel";
FileOutputStream fis = new FileOutputStream(targetFile);
try {
JAXBUtil.marshalPMML(pmml, new StreamResult(fis));
} catch (JAXBException e) {
e.printStackTrace();
}
...
但是放在集群上无法使用。
集群上spark-mllib_2.11是包含pmml-model的,没权限动整个公司的spark,无法exclude,默认为4.2版本。不会主动加载jpmml-sparkml的4.3版本 pmml-model
集群方式
所以采用shaded方式重新打包,重启起一个项目。
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.tc.ml</groupId>
<artifactId>pmml-model</artifactId>
<version>1.0</version>
<dependencies>
<dependency>
<groupId>org.jpmml</groupId>
<artifactId>jpmml-sparkml</artifactId>
<version>1.2.13</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.1.0</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<relocations>
<relocation>
<pattern>org.dmg.pmml</pattern>
<shadedPattern>org.shaded.dmg.pmml</shadedPattern>
</relocation>
<relocation>
<pattern>org.jpmml.model</pattern>
<shadedPattern>org.shaded.jpmml.model</shadedPattern>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
注意下github上jpmml-sparkml shade打包方式为:
<relocations>
<relocation>
<pattern>org.dmg.pmml</pattern>
<shadedPattern>org.shaded.dmg.pmml</shadedPattern>
</relocation>
<relocation>
<pattern>org.jpmml</pattern>
<shadedPattern>org.shaded.jpmml</shadedPattern>
</relocation>
</relocations>
但无法使用VectorAssembler,
所以第二个relocation改为
<relocation>
<pattern>org.jpmml.model</pattern>
<shadedPattern>org.shaded.jpmml.model</shadedPattern>
</relocation>
建依赖改为打包后的pmml-model-1.0.jar包
<dependency>
<groupId>org.jpmml</groupId>
<artifactId>jpmml-sparkml</artifactId>
<version>1.2.13-shaded</version>
<scope>system</scope>
<systemPath>${project.basedir}/lib/pmml-model-1.0.jar</systemPath>
</dependency>
保存为hdfs
import org.jpmml.sparkml.PMMLBuilder;
import org.shaded.dmg.pmml.PMML;
import org.shaded.jpmml.model.JAXBUtil;
....
代码省略
....
StructType schema = trainData.schema();
PMML pmml = new PMMLBuilder(schema, pipelineModel).build();
String targetFile = "/data/twms/traffichuixing/model/pmml/pipepmml";
Path path=new Path(targetFile);
FSDataOutputStream fos = fileSystem.create(path);
try {
JAXBUtil.marshalPMML(pmml, new StreamResult(fos));
} catch (JAXBException e) {
e.printStackTrace();
}finally {
fos.close();
}
.....
代码省略
....