Examples with PlannerResult io.druid.sql.calcite.planner.PlannerResult used on opensource projects

Example 1 with PlannerResult

use of io.druid.sql.calcite.planner.PlannerResult in project druid by druid-io.

the class SqlResource method doPost.

@POST
@Produces(MediaType.APPLICATION_JSON)
@Consumes(MediaType.APPLICATION_JSON)
public Response doPost(final SqlQuery sqlQuery) throws SQLException, IOException {
    // This is not integrated with the experimental authorization framework.
    // (Non-trivial since we don't know the dataSources up-front)
    final PlannerResult plannerResult;
    final DateTimeZone timeZone;
    try (final DruidPlanner planner = plannerFactory.createPlanner(sqlQuery.getContext())) {
        plannerResult = planner.plan(sqlQuery.getQuery());
        timeZone = planner.getPlannerContext().getTimeZone();
        // Remember which columns are time-typed, so we can emit ISO8601 instead of millis values.
        final List<RelDataTypeField> fieldList = plannerResult.rowType().getFieldList();
        final boolean[] timeColumns = new boolean[fieldList.size()];
        final boolean[] dateColumns = new boolean[fieldList.size()];
        for (int i = 0; i < fieldList.size(); i++) {
            final SqlTypeName sqlTypeName = fieldList.get(i).getType().getSqlTypeName();
            timeColumns[i] = sqlTypeName == SqlTypeName.TIMESTAMP;
            dateColumns[i] = sqlTypeName == SqlTypeName.DATE;
        }
        final Yielder<Object[]> yielder0 = Yielders.each(plannerResult.run());
        try {
            return Response.ok(new StreamingOutput() {

                @Override
                public void write(final OutputStream outputStream) throws IOException, WebApplicationException {
                    Yielder<Object[]> yielder = yielder0;
                    try (final JsonGenerator jsonGenerator = jsonMapper.getFactory().createGenerator(outputStream)) {
                        jsonGenerator.writeStartArray();
                        while (!yielder.isDone()) {
                            final Object[] row = yielder.get();
                            jsonGenerator.writeStartObject();
                            for (int i = 0; i < fieldList.size(); i++) {
                                final Object value;
                                if (timeColumns[i]) {
                                    value = ISODateTimeFormat.dateTime().print(Calcites.calciteTimestampToJoda((long) row[i], timeZone));
                                } else if (dateColumns[i]) {
                                    value = ISODateTimeFormat.dateTime().print(Calcites.calciteDateToJoda((int) row[i], timeZone));
                                } else {
                                    value = row[i];
                                }
                                jsonGenerator.writeObjectField(fieldList.get(i).getName(), value);
                            }
                            jsonGenerator.writeEndObject();
                            yielder = yielder.next(null);
                        }
                        jsonGenerator.writeEndArray();
                        jsonGenerator.flush();
                        // End with CRLF
                        outputStream.write('\r');
                        outputStream.write('\n');
                    } finally {
                        yielder.close();
                    }
                }
            }).build();
        } catch (Throwable e) {
            // make sure to close yielder if anything happened before starting to serialize the response.
            yielder0.close();
            throw Throwables.propagate(e);
        }
    } catch (Exception e) {
        log.warn(e, "Failed to handle query: %s", sqlQuery);
        final Exception exceptionToReport;
        if (e instanceof RelOptPlanner.CannotPlanException) {
            exceptionToReport = new ISE("Cannot build plan for query: %s", sqlQuery.getQuery());
        } else {
            exceptionToReport = e;
        }
        return Response.serverError().type(MediaType.APPLICATION_JSON_TYPE).entity(jsonMapper.writeValueAsBytes(QueryInterruptedException.wrapIfNeeded(exceptionToReport))).build();
    }
}

Example 2 with PlannerResult

use of io.druid.sql.calcite.planner.PlannerResult in project druid by druid-io.

the class CalciteQueryTest method getResults.

private List<Object[]> getResults(final PlannerContext plannerContext, final String sql) throws Exception {
    final PlannerConfig plannerConfig = plannerContext.getPlannerConfig();
    final DruidSchema druidSchema = CalciteTests.createMockSchema(walker, plannerConfig);
    final SchemaPlus rootSchema = Calcites.createRootSchema(druidSchema);
    final DruidOperatorTable operatorTable = CalciteTests.createOperatorTable();
    final PlannerFactory plannerFactory = new PlannerFactory(rootSchema, walker, operatorTable, plannerConfig);
    try (DruidPlanner planner = plannerFactory.createPlanner(plannerContext.getQueryContext())) {
        final PlannerResult plan = planner.plan(sql);
        return Sequences.toList(plan.run(), Lists.<Object[]>newArrayList());
    }
}

Example 3 with PlannerResult

use of io.druid.sql.calcite.planner.PlannerResult in project druid by druid-io.

the class QuantileSqlAggregatorTest method testQuantileOnComplexColumn.

@Test
public void testQuantileOnComplexColumn() throws Exception {
    try (final DruidPlanner planner = plannerFactory.createPlanner(null)) {
        final String sql = "SELECT\n" + "APPROX_QUANTILE(hist_m1, 0.01),\n" + "APPROX_QUANTILE(hist_m1, 0.5, 50),\n" + "APPROX_QUANTILE(hist_m1, 0.98, 200),\n" + "APPROX_QUANTILE(hist_m1, 0.99),\n" + "APPROX_QUANTILE(hist_m1, 0.99) FILTER(WHERE dim1 = 'abc'),\n" + "APPROX_QUANTILE(hist_m1, 0.999) FILTER(WHERE dim1 <> 'abc'),\n" + "APPROX_QUANTILE(hist_m1, 0.999) FILTER(WHERE dim1 = 'abc')\n" + "FROM foo";
        final PlannerResult plannerResult = planner.plan(sql);
        // Verify results
        final List<Object[]> results = Sequences.toList(plannerResult.run(), new ArrayList<Object[]>());
        final List<Object[]> expectedResults = ImmutableList.of(new Object[] { 1.0, 3.0, 5.880000114440918, 5.940000057220459, 6.0, 4.994999885559082, 6.0 });
        Assert.assertEquals(expectedResults.size(), results.size());
        for (int i = 0; i < expectedResults.size(); i++) {
            Assert.assertArrayEquals(expectedResults.get(i), results.get(i));
        }
        // Verify query
        Assert.assertEquals(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE1).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).aggregators(ImmutableList.of(new ApproximateHistogramFoldingAggregatorFactory("a0:agg", "hist_m1", null, null, null, null), new ApproximateHistogramFoldingAggregatorFactory("a2:agg", "hist_m1", 200, null, null, null), new FilteredAggregatorFactory(new ApproximateHistogramFoldingAggregatorFactory("a4:agg", "hist_m1", null, null, null, null), new SelectorDimFilter("dim1", "abc", null)), new FilteredAggregatorFactory(new ApproximateHistogramFoldingAggregatorFactory("a5:agg", "hist_m1", null, null, null, null), new NotDimFilter(new SelectorDimFilter("dim1", "abc", null))))).postAggregators(ImmutableList.<PostAggregator>of(new QuantilePostAggregator("a0", "a0:agg", 0.01f), new QuantilePostAggregator("a1", "a0:agg", 0.50f), new QuantilePostAggregator("a2", "a2:agg", 0.98f), new QuantilePostAggregator("a3", "a0:agg", 0.99f), new QuantilePostAggregator("a4", "a4:agg", 0.99f), new QuantilePostAggregator("a5", "a5:agg", 0.999f), new QuantilePostAggregator("a6", "a4:agg", 0.999f))).context(ImmutableMap.<String, Object>of("skipEmptyBuckets", true)).build(), Iterables.getOnlyElement(queryLogHook.getRecordedQueries()));
    }
}

Example 4 with PlannerResult

use of io.druid.sql.calcite.planner.PlannerResult in project druid by druid-io.

the class SqlBenchmark method queryPlanner.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public void queryPlanner(Blackhole blackhole) throws Exception {
    try (final DruidPlanner planner = plannerFactory.createPlanner(null)) {
        final PlannerResult plannerResult = planner.plan(sqlQuery);
        final ArrayList<Object[]> results = Sequences.toList(plannerResult.run(), Lists.<Object[]>newArrayList());
        blackhole.consume(results);
    }
}

Example 5 with PlannerResult

use of io.druid.sql.calcite.planner.PlannerResult in project druid by druid-io.

the class QuantileSqlAggregatorTest method testQuantileOnFloatAndLongs.

@Test
public void testQuantileOnFloatAndLongs() throws Exception {
    try (final DruidPlanner planner = plannerFactory.createPlanner(null)) {
        final String sql = "SELECT\n" + "APPROX_QUANTILE(m1, 0.01),\n" + "APPROX_QUANTILE(m1, 0.5, 50),\n" + "APPROX_QUANTILE(m1, 0.98, 200),\n" + "APPROX_QUANTILE(m1, 0.99),\n" + "APPROX_QUANTILE(m1, 0.99) FILTER(WHERE dim1 = 'abc'),\n" + "APPROX_QUANTILE(m1, 0.999) FILTER(WHERE dim1 <> 'abc'),\n" + "APPROX_QUANTILE(m1, 0.999) FILTER(WHERE dim1 = 'abc'),\n" + "APPROX_QUANTILE(cnt, 0.5)\n" + "FROM foo";
        final PlannerResult plannerResult = planner.plan(sql);
        // Verify results
        final List<Object[]> results = Sequences.toList(plannerResult.run(), new ArrayList<Object[]>());
        final List<Object[]> expectedResults = ImmutableList.of(new Object[] { 1.0, 3.0, 5.880000114440918, 5.940000057220459, 6.0, 4.994999885559082, 6.0, 1.0 });
        Assert.assertEquals(expectedResults.size(), results.size());
        for (int i = 0; i < expectedResults.size(); i++) {
            Assert.assertArrayEquals(expectedResults.get(i), results.get(i));
        }
        // Verify query
        Assert.assertEquals(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE1).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(Filtration.eternity()))).granularity(Granularities.ALL).aggregators(ImmutableList.of(new ApproximateHistogramAggregatorFactory("a0:agg", "m1", null, null, null, null), new ApproximateHistogramAggregatorFactory("a2:agg", "m1", 200, null, null, null), new FilteredAggregatorFactory(new ApproximateHistogramAggregatorFactory("a4:agg", "m1", null, null, null, null), new SelectorDimFilter("dim1", "abc", null)), new FilteredAggregatorFactory(new ApproximateHistogramAggregatorFactory("a5:agg", "m1", null, null, null, null), new NotDimFilter(new SelectorDimFilter("dim1", "abc", null))), new ApproximateHistogramAggregatorFactory("a7:agg", "cnt", null, null, null, null))).postAggregators(ImmutableList.<PostAggregator>of(new QuantilePostAggregator("a0", "a0:agg", 0.01f), new QuantilePostAggregator("a1", "a0:agg", 0.50f), new QuantilePostAggregator("a2", "a2:agg", 0.98f), new QuantilePostAggregator("a3", "a0:agg", 0.99f), new QuantilePostAggregator("a4", "a4:agg", 0.99f), new QuantilePostAggregator("a5", "a5:agg", 0.999f), new QuantilePostAggregator("a6", "a4:agg", 0.999f), new QuantilePostAggregator("a7", "a7:agg", 0.50f))).context(ImmutableMap.<String, Object>of("skipEmptyBuckets", true)).build(), Iterables.getOnlyElement(queryLogHook.getRecordedQueries()));
    }
}