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Example 6 with RelDataTypeField

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataTypeField 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();
    }
}
Also used : SqlTypeName(org.apache.calcite.sql.type.SqlTypeName) OutputStream(java.io.OutputStream) StreamingOutput(javax.ws.rs.core.StreamingOutput) RelOptPlanner(org.apache.calcite.plan.RelOptPlanner) DateTimeZone(org.joda.time.DateTimeZone) QueryInterruptedException(io.druid.query.QueryInterruptedException) SQLException(java.sql.SQLException) IOException(java.io.IOException) WebApplicationException(javax.ws.rs.WebApplicationException) RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) DruidPlanner(io.druid.sql.calcite.planner.DruidPlanner) JsonGenerator(com.fasterxml.jackson.core.JsonGenerator) ISE(io.druid.java.util.common.ISE) PlannerResult(io.druid.sql.calcite.planner.PlannerResult) POST(javax.ws.rs.POST) Produces(javax.ws.rs.Produces) Consumes(javax.ws.rs.Consumes)

Example 7 with RelDataTypeField

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataTypeField in project druid by druid-io.

the class QueryMaker method executeTimeseries.

private Sequence<Object[]> executeTimeseries(final DruidQueryBuilder queryBuilder, final TimeseriesQuery query) {
    final List<RelDataTypeField> fieldList = queryBuilder.getRowType().getFieldList();
    final List<DimensionSpec> dimensions = queryBuilder.getGrouping().getDimensions();
    final String timeOutputName = dimensions.isEmpty() ? null : Iterables.getOnlyElement(dimensions).getOutputName();
    Hook.QUERY_PLAN.run(query);
    return Sequences.map(query.run(walker, Maps.<String, Object>newHashMap()), new Function<Result<TimeseriesResultValue>, Object[]>() {

        @Override
        public Object[] apply(final Result<TimeseriesResultValue> result) {
            final Map<String, Object> row = result.getValue().getBaseObject();
            final Object[] retVal = new Object[fieldList.size()];
            for (final RelDataTypeField field : fieldList) {
                final String outputName = queryBuilder.getRowOrder().get(field.getIndex());
                if (outputName.equals(timeOutputName)) {
                    retVal[field.getIndex()] = coerce(result.getTimestamp(), field.getType().getSqlTypeName());
                } else {
                    retVal[field.getIndex()] = coerce(row.get(outputName), field.getType().getSqlTypeName());
                }
            }
            return retVal;
        }
    });
}
Also used : DimensionSpec(io.druid.query.dimension.DimensionSpec) TimeseriesResultValue(io.druid.query.timeseries.TimeseriesResultValue) RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) NlsString(org.apache.calcite.util.NlsString) Map(java.util.Map) Result(io.druid.query.Result)

Example 8 with RelDataTypeField

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataTypeField in project druid by druid-io.

the class DruidStatement method createColumnMetaData.

public static List<ColumnMetaData> createColumnMetaData(final RelDataType rowType) {
    final List<ColumnMetaData> columns = new ArrayList<>();
    List<RelDataTypeField> fieldList = rowType.getFieldList();
    for (int i = 0; i < fieldList.size(); i++) {
        RelDataTypeField field = fieldList.get(i);
        final ColumnMetaData.Rep rep = QueryMaker.rep(field.getType().getSqlTypeName());
        final ColumnMetaData.ScalarType columnType = ColumnMetaData.scalar(field.getType().getSqlTypeName().getJdbcOrdinal(), field.getType().getSqlTypeName().getName(), rep);
        columns.add(new ColumnMetaData(// ordinal
        i, // auto increment
        false, // case sensitive
        true, // searchable
        false, // currency
        false, field.getType().isNullable() ? DatabaseMetaData.columnNullable : // nullable
        DatabaseMetaData.columnNoNulls, // signed
        true, // display size
        field.getType().getPrecision(), // label
        field.getName(), // column name
        null, // schema name
        null, // precision
        field.getType().getPrecision(), // scale
        field.getType().getScale(), // table name
        null, // catalog name
        null, // avatica type
        columnType, // read only
        true, // writable
        false, // definitely writable
        false, // column class name
        columnType.columnClassName()));
    }
    return columns;
}
Also used : RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) ArrayList(java.util.ArrayList) ColumnMetaData(org.apache.calcite.avatica.ColumnMetaData)

Example 9 with RelDataTypeField

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataTypeField in project flink by apache.

the class FlinkRelDecorrelator method decorrelateRel.

/**
	 * Rewrite LogicalProject.
	 *
	 * @param rel the project rel to rewrite
	 */
public Frame decorrelateRel(LogicalProject rel) {
    //
    // Rewrite logic:
    //
    // 1. Pass along any correlated variables coming from the input.
    //
    final RelNode oldInput = rel.getInput();
    Frame frame = getInvoke(oldInput, rel);
    if (frame == null) {
        // If input has not been rewritten, do not rewrite this rel.
        return null;
    }
    final List<RexNode> oldProjects = rel.getProjects();
    final List<RelDataTypeField> relOutput = rel.getRowType().getFieldList();
    // LogicalProject projects the original expressions,
    // plus any correlated variables the input wants to pass along.
    final List<Pair<RexNode, String>> projects = Lists.newArrayList();
    // and produce the correlated variables in the new output.
    if (cm.mapRefRelToCorVar.containsKey(rel)) {
        decorrelateInputWithValueGenerator(rel);
        // The old input should be mapped to the LogicalJoin created by
        // rewriteInputWithValueGenerator().
        frame = map.get(oldInput);
    }
    // LogicalProject projects the original expressions
    final Map<Integer, Integer> mapOldToNewOutputPos = Maps.newHashMap();
    int newPos;
    for (newPos = 0; newPos < oldProjects.size(); newPos++) {
        projects.add(newPos, Pair.of(decorrelateExpr(oldProjects.get(newPos)), relOutput.get(newPos).getName()));
        mapOldToNewOutputPos.put(newPos, newPos);
    }
    // Project any correlated variables the input wants to pass along.
    final SortedMap<Correlation, Integer> mapCorVarToOutputPos = new TreeMap<>();
    for (Map.Entry<Correlation, Integer> entry : frame.corVarOutputPos.entrySet()) {
        projects.add(RexInputRef.of2(entry.getValue(), frame.r.getRowType().getFieldList()));
        mapCorVarToOutputPos.put(entry.getKey(), newPos);
        newPos++;
    }
    RelNode newProject = RelOptUtil.createProject(frame.r, projects, false);
    return register(rel, newProject, mapOldToNewOutputPos, mapCorVarToOutputPos);
}
Also used : TreeMap(java.util.TreeMap) RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) RelNode(org.apache.calcite.rel.RelNode) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) NavigableMap(java.util.NavigableMap) SortedMap(java.util.SortedMap) HashMap(java.util.HashMap) ImmutableSortedMap(com.google.common.collect.ImmutableSortedMap) TreeMap(java.util.TreeMap) RexNode(org.apache.calcite.rex.RexNode) Pair(org.apache.calcite.util.Pair)

Example 10 with RelDataTypeField

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataTypeField in project flink by apache.

the class FlinkRelDecorrelator method decorrelateRel.

/**
	 * Rewrite Correlator into a left outer join.
	 *
	 * @param rel Correlator
	 */
public Frame decorrelateRel(LogicalCorrelate rel) {
    //
    // Rewrite logic:
    //
    // The original left input will be joined with the new right input that
    // has generated correlated variables propagated up. For any generated
    // cor vars that are not used in the join key, pass them along to be
    // joined later with the CorrelatorRels that produce them.
    //
    // the right input to Correlator should produce correlated variables
    final RelNode oldLeft = rel.getInput(0);
    final RelNode oldRight = rel.getInput(1);
    final Frame leftFrame = getInvoke(oldLeft, rel);
    final Frame rightFrame = getInvoke(oldRight, rel);
    if (leftFrame == null || rightFrame == null) {
        // If any input has not been rewritten, do not rewrite this rel.
        return null;
    }
    if (rightFrame.corVarOutputPos.isEmpty()) {
        return null;
    }
    assert rel.getRequiredColumns().cardinality() <= rightFrame.corVarOutputPos.keySet().size();
    // Change correlator rel into a join.
    // Join all the correlated variables produced by this correlator rel
    // with the values generated and propagated from the right input
    final SortedMap<Correlation, Integer> corVarOutputPos = new TreeMap<>(rightFrame.corVarOutputPos);
    final List<RexNode> conditions = new ArrayList<>();
    final List<RelDataTypeField> newLeftOutput = leftFrame.r.getRowType().getFieldList();
    int newLeftFieldCount = newLeftOutput.size();
    final List<RelDataTypeField> newRightOutput = rightFrame.r.getRowType().getFieldList();
    for (Map.Entry<Correlation, Integer> rightOutputPos : Lists.newArrayList(corVarOutputPos.entrySet())) {
        final Correlation corVar = rightOutputPos.getKey();
        if (!corVar.corr.equals(rel.getCorrelationId())) {
            continue;
        }
        final int newLeftPos = leftFrame.oldToNewOutputPos.get(corVar.field);
        final int newRightPos = rightOutputPos.getValue();
        conditions.add(rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, RexInputRef.of(newLeftPos, newLeftOutput), new RexInputRef(newLeftFieldCount + newRightPos, newRightOutput.get(newRightPos).getType())));
        // remove this cor var from output position mapping
        corVarOutputPos.remove(corVar);
    }
    // vars that are not used in the join key.
    for (Correlation corVar : corVarOutputPos.keySet()) {
        int newPos = corVarOutputPos.get(corVar) + newLeftFieldCount;
        corVarOutputPos.put(corVar, newPos);
    }
    // then add any cor var from the left input. Do not need to change
    // output positions.
    corVarOutputPos.putAll(leftFrame.corVarOutputPos);
    // Create the mapping between the output of the old correlation rel
    // and the new join rel
    final Map<Integer, Integer> mapOldToNewOutputPos = Maps.newHashMap();
    int oldLeftFieldCount = oldLeft.getRowType().getFieldCount();
    int oldRightFieldCount = oldRight.getRowType().getFieldCount();
    assert rel.getRowType().getFieldCount() == oldLeftFieldCount + oldRightFieldCount;
    // Left input positions are not changed.
    mapOldToNewOutputPos.putAll(leftFrame.oldToNewOutputPos);
    // Right input positions are shifted by newLeftFieldCount.
    for (int i = 0; i < oldRightFieldCount; i++) {
        mapOldToNewOutputPos.put(i + oldLeftFieldCount, rightFrame.oldToNewOutputPos.get(i) + newLeftFieldCount);
    }
    final RexNode condition = RexUtil.composeConjunction(rexBuilder, conditions, false);
    RelNode newJoin = LogicalJoin.create(leftFrame.r, rightFrame.r, condition, ImmutableSet.<CorrelationId>of(), rel.getJoinType().toJoinType());
    return register(rel, newJoin, mapOldToNewOutputPos, corVarOutputPos);
}
Also used : ArrayList(java.util.ArrayList) TreeMap(java.util.TreeMap) RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) RelNode(org.apache.calcite.rel.RelNode) RexInputRef(org.apache.calcite.rex.RexInputRef) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) NavigableMap(java.util.NavigableMap) SortedMap(java.util.SortedMap) HashMap(java.util.HashMap) ImmutableSortedMap(com.google.common.collect.ImmutableSortedMap) TreeMap(java.util.TreeMap) RexNode(org.apache.calcite.rex.RexNode)

Aggregations

RelDataTypeField (org.apache.calcite.rel.type.RelDataTypeField)388 RelDataType (org.apache.calcite.rel.type.RelDataType)210 RexNode (org.apache.calcite.rex.RexNode)185 ArrayList (java.util.ArrayList)179 RelNode (org.apache.calcite.rel.RelNode)130 RexBuilder (org.apache.calcite.rex.RexBuilder)76 RexInputRef (org.apache.calcite.rex.RexInputRef)72 ImmutableBitSet (org.apache.calcite.util.ImmutableBitSet)65 Pair (org.apache.calcite.util.Pair)55 RelDataTypeFactory (org.apache.calcite.rel.type.RelDataTypeFactory)47 HashMap (java.util.HashMap)39 Map (java.util.Map)35 AggregateCall (org.apache.calcite.rel.core.AggregateCall)35 SqlNode (org.apache.calcite.sql.SqlNode)32 ImmutableList (com.google.common.collect.ImmutableList)31 RelBuilder (org.apache.calcite.tools.RelBuilder)29 RelDataTypeFieldImpl (org.apache.calcite.rel.type.RelDataTypeFieldImpl)26 List (java.util.List)23 LinkedHashSet (java.util.LinkedHashSet)22 RelOptUtil (org.apache.calcite.plan.RelOptUtil)22