Examples with SpatialDimensionSchema org.apache.druid.data.input.impl.SpatialDimensionSchema used on opensource projects

Example 1 with SpatialDimensionSchema

use of org.apache.druid.data.input.impl.SpatialDimensionSchema in project druid by druid-io.

the class IndexMergerV9WithSpatialIndexTest method makeIncrementalIndex.

private static IncrementalIndex makeIncrementalIndex() throws IOException {
    IncrementalIndex theIndex = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(NUM_POINTS).build();
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "foo", "lat", 0.0f, "long", 0.0f, "val", 17L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-02").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-02").toString(), "dim", "foo", "lat", 1.0f, "long", 3.0f, "val", 29L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-03").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-03").toString(), "dim", "foo", "lat", 4.0f, "long", 2.0f, "val", 13L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-04").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-04").toString(), "dim", "foo", "lat", 7.0f, "long", 3.0f, "val", 91L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", 8.0f, "long", 6.0f, "val", 47L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", "_mmx.unknown", "long", "_mmx.unknown", "val", 101L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "lat2", 0.0f, "long2", 0.0f, "val", 13L)));
    // Add a bunch of random points
    Random rand = ThreadLocalRandom.current();
    for (int i = 8; i < NUM_POINTS; i++) {
        theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "boo", "lat", (float) (rand.nextFloat() * 10 + 10.0), "long", (float) (rand.nextFloat() * 10 + 10.0), "val", i)));
    }
    return theIndex;
}

Example 2 with SpatialDimensionSchema

use of org.apache.druid.data.input.impl.SpatialDimensionSchema in project druid by druid-io.

the class IndexMergerV9WithSpatialIndexTest method makeMergedQueryableIndex.

private static QueryableIndex makeMergedQueryableIndex(IndexSpec indexSpec, IndexMergerV9 indexMergerV9, IndexIO indexIO) {
    try {
        IncrementalIndex first = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(1000).build();
        IncrementalIndex second = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(1000).build();
        IncrementalIndex third = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(NUM_POINTS).build();
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "foo", "lat", 0.0f, "long", 0.0f, "val", 17L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-02").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-02").toString(), "dim", "foo", "lat", 1.0f, "long", 3.0f, "val", 29L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-03").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-03").toString(), "dim", "foo", "lat", 4.0f, "long", 2.0f, "val", 13L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", "_mmx.unknown", "long", "_mmx.unknown", "val", 101L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-04").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-04").toString(), "dim", "foo", "lat", 7.0f, "long", 3.0f, "val", 91L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", 8.0f, "long", 6.0f, "val", 47L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "lat2", 0.0f, "long2", 0.0f, "val", 13L)));
        // Add a bunch of random points
        Random rand = ThreadLocalRandom.current();
        for (int i = 8; i < NUM_POINTS; i++) {
            third.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "boo", "lat", (float) (rand.nextFloat() * 10 + 10.0), "long", (float) (rand.nextFloat() * 10 + 10.0), "val", i)));
        }
        File tmpFile = File.createTempFile("yay", "who");
        tmpFile.delete();
        File firstFile = new File(tmpFile, "first");
        File secondFile = new File(tmpFile, "second");
        File thirdFile = new File(tmpFile, "third");
        File mergedFile = new File(tmpFile, "merged");
        FileUtils.mkdirp(firstFile);
        FileUtils.mkdirp(secondFile);
        FileUtils.mkdirp(thirdFile);
        FileUtils.mkdirp(mergedFile);
        indexMergerV9.persist(first, DATA_INTERVAL, firstFile, indexSpec, null);
        indexMergerV9.persist(second, DATA_INTERVAL, secondFile, indexSpec, null);
        indexMergerV9.persist(third, DATA_INTERVAL, thirdFile, indexSpec, null);
        try {
            QueryableIndex mergedRealtime = indexIO.loadIndex(indexMergerV9.mergeQueryableIndex(Arrays.asList(indexIO.loadIndex(firstFile), indexIO.loadIndex(secondFile), indexIO.loadIndex(thirdFile)), true, METRIC_AGGS, mergedFile, indexSpec, null, -1));
            return mergedRealtime;
        } finally {
            FileUtils.deleteDirectory(firstFile);
            FileUtils.deleteDirectory(secondFile);
            FileUtils.deleteDirectory(thirdFile);
            FileUtils.deleteDirectory(mergedFile);
        }
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
}

Example 3 with SpatialDimensionSchema

use of org.apache.druid.data.input.impl.SpatialDimensionSchema in project druid by druid-io.

the class SpatialFilterBonusTest method makeIncrementalIndex.

private static IncrementalIndex makeIncrementalIndex() throws IOException {
    IncrementalIndex theIndex = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Collections.singletonList(new SpatialDimensionSchema("dim.geo", new ArrayList<>()))).build()).build()).setMaxRowCount(NUM_POINTS).build();
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "foo", "dim.geo", "0.0,0.0", "val", 17L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-02").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-02").toString(), "dim", "foo", "dim.geo", "1.0,3.0", "val", 29L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-03").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-03").toString(), "dim", "foo", "dim.geo", "4.0,2.0", "val", 13L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-04").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-04").toString(), "dim", "foo", "dim.geo", "7.0,3.0", "val", 91L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "8.0,6.0", "val", 47L)));
    theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
    // Add a bunch of random points, without replacement
    Set<String> alreadyChosen = new HashSet<>();
    Random rand = ThreadLocalRandom.current();
    for (int i = 6; i < NUM_POINTS; i++) {
        String coord = null;
        while (coord == null) {
            coord = StringUtils.format("%s,%s", (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0));
            if (!alreadyChosen.add(coord)) {
                coord = null;
            }
        }
        theIndex.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "boo", "dim.geo", coord, "val", i)));
    }
    return theIndex;
}

Example 4 with SpatialDimensionSchema

use of org.apache.druid.data.input.impl.SpatialDimensionSchema in project druid by druid-io.

the class SpatialFilterBonusTest method makeMergedQueryableIndex.

private static QueryableIndex makeMergedQueryableIndex(final IndexSpec indexSpec, final IndexMerger indexMerger, final IndexIO indexIO) {
    try {
        IncrementalIndex first = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Collections.singletonList(new SpatialDimensionSchema("dim.geo", new ArrayList<>()))).build()).build()).setMaxRowCount(NUM_POINTS).build();
        IncrementalIndex second = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Collections.singletonList(new SpatialDimensionSchema("dim.geo", new ArrayList<>()))).build()).build()).setMaxRowCount(NUM_POINTS).build();
        IncrementalIndex third = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Collections.singletonList(new SpatialDimensionSchema("dim.geo", new ArrayList<>()))).build()).build()).setMaxRowCount(NUM_POINTS).build();
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "foo", "dim.geo", "0.0,0.0", "val", 17L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-02").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-02").toString(), "dim", "foo", "dim.geo", "1.0,3.0", "val", 29L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-03").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-03").toString(), "dim", "foo", "dim.geo", "4.0,2.0", "val", 13L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-04").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-04").toString(), "dim", "foo", "dim.geo", "7.0,3.0", "val", 91L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "8.0,6.0", "val", 47L)));
        // Add a bunch of random points
        Random rand = ThreadLocalRandom.current();
        for (int i = 6; i < NUM_POINTS; i++) {
            third.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "boo", "dim.geo", StringUtils.format("%s,%s", (float) (rand.nextFloat() * 10 + 10.0), (float) (rand.nextFloat() * 10 + 10.0)), "val", i)));
        }
        File tmpFile = File.createTempFile("yay", "who");
        tmpFile.delete();
        File firstFile = new File(tmpFile, "first");
        File secondFile = new File(tmpFile, "second");
        File thirdFile = new File(tmpFile, "third");
        File mergedFile = new File(tmpFile, "merged");
        FileUtils.mkdirp(firstFile);
        FileUtils.mkdirp(secondFile);
        FileUtils.mkdirp(thirdFile);
        FileUtils.mkdirp(mergedFile);
        firstFile.deleteOnExit();
        secondFile.deleteOnExit();
        thirdFile.deleteOnExit();
        mergedFile.deleteOnExit();
        indexMerger.persist(first, DATA_INTERVAL, firstFile, indexSpec, null);
        indexMerger.persist(second, DATA_INTERVAL, secondFile, indexSpec, null);
        indexMerger.persist(third, DATA_INTERVAL, thirdFile, indexSpec, null);
        QueryableIndex mergedRealtime = indexIO.loadIndex(indexMerger.mergeQueryableIndex(Arrays.asList(indexIO.loadIndex(firstFile), indexIO.loadIndex(secondFile), indexIO.loadIndex(thirdFile)), true, METRIC_AGGS, mergedFile, indexSpec, null, -1));
        return mergedRealtime;
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
}

Example 5 with SpatialDimensionSchema

use of org.apache.druid.data.input.impl.SpatialDimensionSchema in project druid by druid-io.

the class SpatialFilterTest method makeMergedQueryableIndex.

private static QueryableIndex makeMergedQueryableIndex(IndexSpec indexSpec) {
    try {
        IncrementalIndex first = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(1000).build();
        IncrementalIndex second = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(1000).build();
        IncrementalIndex third = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withMinTimestamp(DATA_INTERVAL.getStartMillis()).withQueryGranularity(Granularities.DAY).withMetrics(METRIC_AGGS).withDimensionsSpec(DimensionsSpec.builder().setSpatialDimensions(Arrays.asList(new SpatialDimensionSchema("dim.geo", Arrays.asList("lat", "long")), new SpatialDimensionSchema("spatialIsRad", Arrays.asList("lat2", "long2")))).build()).build()).setMaxRowCount(NUM_POINTS).build();
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "foo", "lat", 0.0f, "long", 0.0f, "val", 17L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-02").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-02").toString(), "dim", "foo", "lat", 1.0f, "long", 3.0f, "val", 29L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-03").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-03").toString(), "dim", "foo", "lat", 4.0f, "long", 2.0f, "val", 13L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", "_mmx.unknown", "long", "_mmx.unknown", "val", 101L)));
        first.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "dim.geo", "_mmx.unknown", "val", 501L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-04").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-04").toString(), "dim", "foo", "lat", 7.0f, "long", 3.0f, "val", 91L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "dim", "foo", "lat", 8.0f, "long", 6.0f, "val", 47L)));
        second.add(new MapBasedInputRow(DateTimes.of("2013-01-05").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-05").toString(), "lat2", 0.0f, "long2", 0.0f, "val", 13L)));
        // Add a bunch of random points
        Random rand = ThreadLocalRandom.current();
        for (int i = 8; i < NUM_POINTS; i++) {
            third.add(new MapBasedInputRow(DateTimes.of("2013-01-01").getMillis(), DIMS, ImmutableMap.of("timestamp", DateTimes.of("2013-01-01").toString(), "dim", "boo", "lat", (float) (rand.nextFloat() * 10 + 10.0), "long", (float) (rand.nextFloat() * 10 + 10.0), "val", i)));
        }
        File tmpFile = File.createTempFile("yay", "who");
        tmpFile.delete();
        File firstFile = new File(tmpFile, "first");
        File secondFile = new File(tmpFile, "second");
        File thirdFile = new File(tmpFile, "third");
        File mergedFile = new File(tmpFile, "merged");
        FileUtils.mkdirp(firstFile);
        FileUtils.mkdirp(secondFile);
        FileUtils.mkdirp(thirdFile);
        FileUtils.mkdirp(mergedFile);
        firstFile.deleteOnExit();
        secondFile.deleteOnExit();
        thirdFile.deleteOnExit();
        mergedFile.deleteOnExit();
        INDEX_MERGER.persist(first, DATA_INTERVAL, firstFile, indexSpec, null);
        INDEX_MERGER.persist(second, DATA_INTERVAL, secondFile, indexSpec, null);
        INDEX_MERGER.persist(third, DATA_INTERVAL, thirdFile, indexSpec, null);
        QueryableIndex mergedRealtime = INDEX_IO.loadIndex(INDEX_MERGER.mergeQueryableIndex(Arrays.asList(INDEX_IO.loadIndex(firstFile), INDEX_IO.loadIndex(secondFile), INDEX_IO.loadIndex(thirdFile)), true, METRIC_AGGS, mergedFile, indexSpec, null, -1));
        return mergedRealtime;
    } catch (IOException e) {
        throw new RuntimeException(e);
    }
}