forked from D-Net/dnet-hadoop
fix issue with flatMap - the return type must not be null
This commit is contained in:
parent
773735f870
commit
01f7876595
|
@ -57,7 +57,7 @@ public class PrepareProjects {
|
||||||
final String outputPath = parser.get("outputPath");
|
final String outputPath = parser.get("outputPath");
|
||||||
log.info("outputPath {}: ", outputPath);
|
log.info("outputPath {}: ", outputPath);
|
||||||
|
|
||||||
final String dbProjectPath = parser.get("dbProjectPath");
|
final String dbProjectPath = parser.get("dbProjectPath");
|
||||||
log.info("dbProjectPath {}: ", dbProjectPath);
|
log.info("dbProjectPath {}: ", dbProjectPath);
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
SparkConf conf = new SparkConf();
|
||||||
|
@ -75,56 +75,39 @@ public class PrepareProjects {
|
||||||
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
|
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void exec(SparkSession spark, String progjectPath, String dbProjectPath, String outputPath) {
|
private static void exec(SparkSession spark, String projectPath, String dbProjectPath, String outputPath) {
|
||||||
Dataset<CSVProject> project = readPath(spark, progjectPath, CSVProject.class);
|
Dataset<CSVProject> project = readPath(spark, projectPath, CSVProject.class);
|
||||||
Dataset<ProjectSubset> dbProjects = readPath(spark, dbProjectPath, ProjectSubset.class);
|
Dataset<ProjectSubset> dbProjects = readPath(spark, dbProjectPath, ProjectSubset.class);
|
||||||
|
|
||||||
dbProjects.joinWith(project, dbProjects.col("code").equalTo(project.col("id")), "left")
|
dbProjects
|
||||||
.flatMap((FlatMapFunction<Tuple2<ProjectSubset, CSVProject>, CSVProject>) value -> {
|
.joinWith(project, dbProjects.col("code").equalTo(project.col("id")), "left")
|
||||||
Optional<CSVProject> csvProject = Optional.ofNullable(value._2());
|
.flatMap(getTuple2CSVProjectFlatMapFunction(), Encoders.bean(CSVProject.class))
|
||||||
if(! csvProject.isPresent()){
|
.filter(Objects::nonNull)
|
||||||
return null;
|
.write()
|
||||||
}
|
.mode(SaveMode.Overwrite)
|
||||||
List<CSVProject> csvProjectList = new ArrayList<>();
|
.option("compression", "gzip")
|
||||||
String[] programme = csvProject.get().getProgramme().split(";");
|
.json(outputPath);
|
||||||
Arrays
|
|
||||||
.stream(programme)
|
|
||||||
.forEach(p -> {
|
|
||||||
CSVProject proj = new CSVProject();
|
|
||||||
proj.setProgramme(p);
|
|
||||||
proj.setId(csvProject.get().getId());
|
|
||||||
csvProjectList.add(proj);
|
|
||||||
});
|
|
||||||
|
|
||||||
return csvProjectList.iterator();
|
}
|
||||||
}, Encoders.bean(CSVProject.class))
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.json(outputPath);
|
|
||||||
//
|
|
||||||
// .map(value -> {
|
|
||||||
// Optional<CSVProject> csvProject = Optional.ofNullable(value._2());
|
|
||||||
// }, Encoders.bean(CSVProject.class))
|
|
||||||
// .filter(Objects::nonNull)
|
|
||||||
// .toJavaRDD()
|
|
||||||
// .flatMap(p -> {
|
|
||||||
// List<CSVProject> csvProjectList = new ArrayList<>();
|
|
||||||
// String[] programme = p.getProgramme().split(";");
|
|
||||||
// Arrays
|
|
||||||
// .stream(programme)
|
|
||||||
// .forEach(value -> {
|
|
||||||
// CSVProject csvProject = new CSVProject();
|
|
||||||
// csvProject.setProgramme(value);
|
|
||||||
// csvProject.setId(p.getId());
|
|
||||||
// csvProjectList.add(csvProject);
|
|
||||||
// });
|
|
||||||
//
|
|
||||||
// return csvProjectList.iterator();
|
|
||||||
// })
|
|
||||||
// .map(p -> OBJECT_MAPPER.writeValueAsString(p))
|
|
||||||
// .saveAsTextFile(outputPath);
|
|
||||||
|
|
||||||
|
private static FlatMapFunction<Tuple2<ProjectSubset, CSVProject>, CSVProject> getTuple2CSVProjectFlatMapFunction() {
|
||||||
|
return (FlatMapFunction<Tuple2<ProjectSubset, CSVProject>, CSVProject>) value -> {
|
||||||
|
Optional<CSVProject> csvProject = Optional.ofNullable(value._2());
|
||||||
|
List<CSVProject> csvProjectList = new ArrayList<>();
|
||||||
|
if (csvProject.isPresent()) {
|
||||||
|
|
||||||
|
String[] programme = csvProject.get().getProgramme().split(";");
|
||||||
|
Arrays
|
||||||
|
.stream(programme)
|
||||||
|
.forEach(p -> {
|
||||||
|
CSVProject proj = new CSVProject();
|
||||||
|
proj.setProgramme(p);
|
||||||
|
proj.setId(csvProject.get().getId());
|
||||||
|
csvProjectList.add(proj);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
return csvProjectList.iterator();
|
||||||
|
};
|
||||||
}
|
}
|
||||||
|
|
||||||
public static <R> Dataset<R> readPath(
|
public static <R> Dataset<R> readPath(
|
||||||
|
|
Loading…
Reference in New Issue