@Override
public int run(SparkConf conf, CommandLine cli) throws Exception {
long startMs = System.currentTimeMillis();
conf.set("spark.ui.enabled", "false");
JavaSparkContext jsc = new JavaSparkContext(conf);
SQLContext sqlContext = new SQLContext(jsc);
long diffMs = (System.currentTimeMillis() - startMs);
System.out.println(">> took " + diffMs + " ms to create SQLContext");
Map<String, String> options = new HashMap<>();
options.put("zkhost", "localhost:9983");
options.put("collection", "ml20news");
options.put("query", "content_txt:[* TO *]");
options.put("fields", "content_txt");
DataFrame solrData = sqlContext.read().format("solr").options(options).load();
DataFrame sample = solrData.sample(false, 0.1d, 5150).select("content_txt");
List<Row> rows = sample.collectAsList();
System.out.println(">> loaded " + rows.size() + " docs to classify");
StructType schema = sample.schema();
CrossValidatorModel cvModel = CrossValidatorModel.load("ml-pipeline-model");
PipelineModel bestModel = (PipelineModel) cvModel.bestModel();
int r = 0;
startMs = System.currentTimeMillis();
for (Row next : rows) {
Row oneRow = RowFactory.create(next.getString(0));
DataFrame oneRowDF =
sqlContext.createDataFrame(Collections.<Row>singletonList(oneRow), schema);
DataFrame scored = bestModel.transform(oneRowDF);
Row scoredRow = scored.collect()[0];
String predictedLabel = scoredRow.getString(scoredRow.fieldIndex("predictedLabel"));
// an acutal app would save the predictedLabel
// System.out.println(">> for row["+r+"], model returned "+scoredRows.length+" rows,
// "+scoredRows[0]);
r++;
}
diffMs = (System.currentTimeMillis() - startMs);
System.out.println(">> took " + diffMs + " ms to score " + rows.size() + " docs");
return 0;
}
