@Override
public DateTime getMaxTime() {
final IndexedLongs timestamps = index.getReadOnlyTimestamps();
final DateTime retVal = new DateTime(timestamps.get(timestamps.size() - 1));
Closeables.closeQuietly(timestamps);
return retVal;
}
@Override
public boolean withinBounds() {
return baseOffset.withinBounds() && timestamps.get(baseOffset.getOffset()) < threshold;
}
public static Index convertMMapToIndex(MMappedIndex mmappedIndex) {
Indexed<String> dimsIndexed = mmappedIndex.getAvailableDimensions();
String[] dimensions = new String[dimsIndexed.size()];
for (int i = 0; i < dimsIndexed.size(); ++i) {
dimensions[i] = dimsIndexed.get(i);
}
Indexed<String> metricsIndexed = mmappedIndex.getAvailableMetrics();
String[] metrics = new String[metricsIndexed.size()];
for (int i = 0; i < metricsIndexed.size(); ++i) {
metrics[i] = metricsIndexed.get(i);
}
IndexedLongs timeBuf = mmappedIndex.getReadOnlyTimestamps();
long[] timestamps = new long[timeBuf.size()];
timeBuf.fill(0, timestamps);
Closeables.closeQuietly(timeBuf);
Map<String, MetricHolder> metricVals = Maps.newLinkedHashMap();
for (String metric : metrics) {
MetricHolder holder = mmappedIndex.getMetricHolder(metric);
switch (holder.getType()) {
case FLOAT:
IndexedFloats mmappedFloats = holder.getFloatType();
float[] metricValsArray = new float[mmappedFloats.size()];
mmappedFloats.fill(0, metricValsArray);
Closeables.closeQuietly(mmappedFloats);
metricVals.put(
metric,
MetricHolder.floatMetric(
metric,
CompressedFloatsIndexedSupplier.fromFloatBuffer(
FloatBuffer.wrap(metricValsArray), ByteOrder.nativeOrder())));
break;
case COMPLEX:
Indexed complexObjects = holder.getComplexType();
Object[] vals = new Object[complexObjects.size()];
for (int i = 0; i < complexObjects.size(); ++i) {
vals[i] = complexObjects.get(i);
}
final ComplexMetricSerde serde = ComplexMetrics.getSerdeForType(holder.getTypeName());
if (serde == null) {
throw new ISE("Unknown type[%s]", holder.getTypeName());
}
metricVals.put(
metric,
MetricHolder.complexMetric(
metric,
holder.getTypeName(),
new ArrayIndexed(vals, serde.getObjectStrategy().getClazz())));
break;
}
}
Map<String, Map<String, Integer>> dimIdLookup = Maps.newHashMap();
Map<String, String[]> reverseDimLookup = Maps.newHashMap();
Map<String, ImmutableConciseSet[]> invertedIndexesMap = Maps.newHashMap();
Map<String, DimensionColumn> dimensionColumns = Maps.newHashMap();
for (String dimension : dimensions) {
final Indexed<String> dimValueLookup = mmappedIndex.getDimValueLookup(dimension);
String[] values = new String[dimValueLookup.size()];
for (int i = 0; i < dimValueLookup.size(); ++i) {
values[i] = dimValueLookup.get(i);
}
Map<String, Integer> lookupMap = Maps.newHashMapWithExpectedSize(dimValueLookup.size());
for (int i = 0; i < values.length; i++) {
lookupMap.put(values[i], i);
}
ImmutableConciseSet[] invertedIndexes = new ImmutableConciseSet[values.length];
final Indexed<String> dimValuesIndexed = mmappedIndex.getDimValueLookup(dimension);
for (int i = 0; i < dimValuesIndexed.size(); ++i) {
invertedIndexes[i] = mmappedIndex.getInvertedIndex(dimension, dimValuesIndexed.get(i));
}
int[] dimValues = new int[timestamps.length];
Map<List<Integer>, Integer> rowGroupings = Maps.newHashMap();
final Indexed<? extends IndexedInts> dimColumn = mmappedIndex.getDimColumn(dimension);
for (int i = 0; i < dimColumn.size(); ++i) {
int[] expansionValue = Indexedids.arrayFromIndexedInts(dimColumn.get(i));
Integer value = rowGroupings.get(Ints.asList(expansionValue));
if (value == null) {
value = rowGroupings.size();
rowGroupings.put(Ints.asList(expansionValue), value);
}
dimValues[i] = value;
}
int[][] expansionValues = new int[rowGroupings.size()][];
for (Map.Entry<List<Integer>, Integer> entry : rowGroupings.entrySet()) {
expansionValues[entry.getValue()] = Ints.toArray(entry.getKey());
}
dimIdLookup.put(dimension, lookupMap);
reverseDimLookup.put(dimension, values);
invertedIndexesMap.put(dimension, invertedIndexes);
dimensionColumns.put(dimension, new DimensionColumn(expansionValues, dimValues));
}
return new Index(
dimensions,
metrics,
mmappedIndex.getDataInterval(),
timestamps,
metricVals,
dimIdLookup,
reverseDimLookup,
invertedIndexesMap,
dimensionColumns);
}