use of com.linkedin.pinot.common.data.DimensionFieldSpec in project pinot by linkedin.
the class DataFetcherTest method setup.
@BeforeClass
private void setup() throws Exception {
GenericRow[] segmentData = new GenericRow[NUM_ROWS];
// Generate random dimension and metric values.
for (int i = 0; i < NUM_ROWS; i++) {
double randomDouble = _random.nextDouble();
String randomDoubleString = String.valueOf(randomDouble);
_dimensionValues[i] = randomDoubleString;
_intMetricValues[i] = (int) randomDouble;
_longMetricValues[i] = (long) randomDouble;
_floatMetricValues[i] = (float) randomDouble;
_doubleMetricValues[i] = randomDouble;
HashMap<String, Object> map = new HashMap<>();
map.put(DIMENSION_NAME, _dimensionValues[i]);
map.put(INT_METRIC_NAME, _intMetricValues[i]);
map.put(LONG_METRIC_NAME, _longMetricValues[i]);
map.put(FLOAT_METRIC_NAME, _floatMetricValues[i]);
map.put(DOUBLE_METRIC_NAME, _doubleMetricValues[i]);
map.put(NO_DICT_INT_METRIC_NAME, _intMetricValues[i]);
map.put(NO_DICT_LONG_METRIC_NAME, _longMetricValues[i]);
map.put(NO_DICT_FLOAT_METRIC_NAME, _floatMetricValues[i]);
map.put(NO_DICT_DOUBLE_METRIC_NAME, _doubleMetricValues[i]);
GenericRow genericRow = new GenericRow();
genericRow.init(map);
segmentData[i] = genericRow;
}
// Create an index segment with the random dimension and metric values.
final Schema schema = new Schema();
schema.addField(new DimensionFieldSpec(DIMENSION_NAME, FieldSpec.DataType.STRING, true));
schema.addField(new MetricFieldSpec(INT_METRIC_NAME, FieldSpec.DataType.INT));
schema.addField(new MetricFieldSpec(LONG_METRIC_NAME, FieldSpec.DataType.LONG));
schema.addField(new MetricFieldSpec(FLOAT_METRIC_NAME, FieldSpec.DataType.FLOAT));
schema.addField(new MetricFieldSpec(DOUBLE_METRIC_NAME, FieldSpec.DataType.DOUBLE));
schema.addField(new MetricFieldSpec(NO_DICT_INT_METRIC_NAME, FieldSpec.DataType.INT));
schema.addField(new MetricFieldSpec(NO_DICT_LONG_METRIC_NAME, FieldSpec.DataType.LONG));
schema.addField(new MetricFieldSpec(NO_DICT_FLOAT_METRIC_NAME, FieldSpec.DataType.FLOAT));
schema.addField(new MetricFieldSpec(NO_DICT_DOUBLE_METRIC_NAME, FieldSpec.DataType.DOUBLE));
SegmentGeneratorConfig config = new SegmentGeneratorConfig(schema);
FileUtils.deleteQuietly(new File(INDEX_DIR_PATH));
config.setOutDir(INDEX_DIR_PATH);
config.setSegmentName(SEGMENT_NAME);
config.setRawIndexCreationColumns(Arrays.asList(NO_DICT_INT_METRIC_NAME, NO_DICT_LONG_METRIC_NAME, NO_DICT_FLOAT_METRIC_NAME, NO_DICT_DOUBLE_METRIC_NAME));
SegmentIndexCreationDriverImpl driver = new SegmentIndexCreationDriverImpl();
driver.init(config, new TestDataRecordReader(schema, segmentData));
driver.build();
IndexSegment indexSegment = Loaders.IndexSegment.load(new File(INDEX_DIR_PATH, SEGMENT_NAME), ReadMode.heap);
Map<String, BaseOperator> dataSourceMap = new HashMap<>();
for (String column : indexSegment.getColumnNames()) {
dataSourceMap.put(column, indexSegment.getDataSource(column));
}
// Get a data fetcher for the index segment.
_dataFetcher = new DataFetcher(dataSourceMap);
}
use of com.linkedin.pinot.common.data.DimensionFieldSpec in project pinot by linkedin.
the class PinotSegmentRecordReaderTest method createPinotSchema.
private Schema createPinotSchema() {
Schema testSchema = new Schema();
testSchema.setSchemaName("schema");
FieldSpec spec;
spec = new DimensionFieldSpec(D_SV_1, DataType.STRING, true);
testSchema.addField(spec);
spec = new DimensionFieldSpec(D_MV_1, DataType.STRING, false);
testSchema.addField(spec);
spec = new MetricFieldSpec(M1, DataType.INT);
testSchema.addField(spec);
spec = new MetricFieldSpec(M2, DataType.FLOAT);
testSchema.addField(spec);
spec = new TimeFieldSpec(new TimeGranularitySpec(DataType.LONG, TimeUnit.HOURS, TIME));
testSchema.addField(spec);
return testSchema;
}
use of com.linkedin.pinot.common.data.DimensionFieldSpec in project pinot by linkedin.
the class SegmentInfoProvider method readOneSegment.
/**
* Read the metadata of the given segmentFile and collect:
* - Unique metric columns
* - Unique single-value dimension columns
* - Unique values for each single-value dimension columns
*
* @param segmentFile segment file.
* @param uniqueMetrics unique metric columns buffer.
* @param uniqueSingleValueDimensions unique single-value dimension columns buffer.
* @param singleValueDimensionValuesMap single-value dimension columns to unique values map buffer.
* @throws Exception
*/
private void readOneSegment(File segmentFile, Set<String> uniqueMetrics, Set<String> uniqueSingleValueDimensions, Map<String, Set<Object>> singleValueDimensionValuesMap) throws Exception {
// Get segment directory from segment file (decompress if necessary).
File segmentDir;
File tmpDir = null;
if (segmentFile.isFile()) {
tmpDir = File.createTempFile(SEGMENT_INFO_PROVIDER, null, new File(TMP_DIR));
FileUtils.deleteQuietly(tmpDir);
tmpDir.mkdir();
TarGzCompressionUtils.unTar(segmentFile, tmpDir);
segmentDir = tmpDir.listFiles()[0];
} else {
segmentDir = segmentFile;
}
IndexSegment indexSegment = Loaders.IndexSegment.load(segmentDir, ReadMode.heap);
Schema schema = indexSegment.getSegmentMetadata().getSchema();
// Add time column if exists.
String timeColumn = schema.getTimeColumnName();
if (timeColumn != null) {
uniqueSingleValueDimensions.add(timeColumn);
loadValuesForSingleValueDimension(indexSegment, singleValueDimensionValuesMap, timeColumn);
}
// Add all metric columns.
uniqueMetrics.addAll(schema.getMetricNames());
// Add all single-value dimension columns.
for (DimensionFieldSpec fieldSpec : schema.getDimensionFieldSpecs()) {
if (!fieldSpec.isSingleValueField()) {
continue;
}
String column = fieldSpec.getName();
uniqueSingleValueDimensions.add(column);
loadValuesForSingleValueDimension(indexSegment, singleValueDimensionValuesMap, column);
}
if (tmpDir != null) {
FileUtils.deleteQuietly(tmpDir);
}
}
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