use of org.apache.calcite.rel.type.RelDataTypeFactory in project hive by apache.
the class TypeConverter method getType.
/**
********************* Convert Hive Types To Calcite Types **********************
*/
public static RelDataType getType(RelOptCluster cluster, List<ColumnInfo> cInfoLst) throws CalciteSemanticException {
RexBuilder rexBuilder = cluster.getRexBuilder();
RelDataTypeFactory dtFactory = rexBuilder.getTypeFactory();
List<RelDataType> fieldTypes = new LinkedList<RelDataType>();
List<String> fieldNames = new LinkedList<String>();
for (ColumnInfo ci : cInfoLst) {
fieldTypes.add(convert(ci.getType(), dtFactory));
fieldNames.add(ci.getInternalName());
}
return dtFactory.createStructType(fieldTypes, fieldNames);
}
use of org.apache.calcite.rel.type.RelDataTypeFactory in project hive by apache.
the class TypeConverter method getType.
public static RelDataType getType(RelOptCluster cluster, RowResolver rr, List<String> neededCols) throws CalciteSemanticException {
RexBuilder rexBuilder = cluster.getRexBuilder();
RelDataTypeFactory dtFactory = rexBuilder.getTypeFactory();
RowSchema rs = rr.getRowSchema();
List<RelDataType> fieldTypes = new LinkedList<RelDataType>();
List<String> fieldNames = new LinkedList<String>();
for (ColumnInfo ci : rs.getSignature()) {
if (neededCols == null || neededCols.contains(ci.getInternalName())) {
fieldTypes.add(convert(ci.getType(), dtFactory));
fieldNames.add(ci.getInternalName());
}
}
return dtFactory.createStructType(fieldTypes, fieldNames);
}
use of org.apache.calcite.rel.type.RelDataTypeFactory in project hive by apache.
the class HiveRelDecorrelator method projectJoinOutputWithNullability.
/**
* Pulls project above the join from its RHS input. Enforces nullability
* for join output.
*
* @param join Join
* @param project Original project as the right-hand input of the join
* @param nullIndicatorPos Position of null indicator
* @return the subtree with the new Project at the root
*/
private RelNode projectJoinOutputWithNullability(Join join, Project project, int nullIndicatorPos) {
final RelDataTypeFactory typeFactory = join.getCluster().getTypeFactory();
final RelNode left = join.getLeft();
final JoinRelType joinType = join.getJoinType();
RexInputRef nullIndicator = new RexInputRef(nullIndicatorPos, typeFactory.createTypeWithNullability(join.getRowType().getFieldList().get(nullIndicatorPos).getType(), true));
// now create the new project
List<Pair<RexNode, String>> newProjExprs = Lists.newArrayList();
// project everything from the LHS and then those from the original
// projRel
List<RelDataTypeField> leftInputFields = left.getRowType().getFieldList();
for (int i = 0; i < leftInputFields.size(); i++) {
newProjExprs.add(RexInputRef.of2(i, leftInputFields));
}
// Marked where the projected expr is coming from so that the types will
// become nullable for the original projections which are now coming out
// of the nullable side of the OJ.
boolean projectPulledAboveLeftCorrelator = joinType.generatesNullsOnRight();
for (Pair<RexNode, String> pair : project.getNamedProjects()) {
RexNode newProjExpr = removeCorrelationExpr(pair.left, projectPulledAboveLeftCorrelator, nullIndicator);
newProjExprs.add(Pair.of(newProjExpr, pair.right));
}
return RelOptUtil.createProject(join, Pair.left(newProjExprs), Pair.right(newProjExprs), false, relBuilder);
}
use of org.apache.calcite.rel.type.RelDataTypeFactory in project hive by apache.
the class HiveFilterProjectTSTransposeRule method onMatch.
// ~ Methods ----------------------------------------------------------------
// implement RelOptRule
public void onMatch(RelOptRuleCall call) {
final Filter filter = call.rel(0);
final Project project = call.rel(1);
if (RexOver.containsOver(project.getProjects(), null)) {
// it can be pushed down. For now we don't support this.
return;
}
if (RexUtil.containsCorrelation(filter.getCondition())) {
// Correlate from being de-correlated.
return;
}
// convert the filter to one that references the child of the project
RexNode newCondition = RelOptUtil.pushPastProject(filter.getCondition(), project);
// Remove cast of BOOLEAN NOT NULL to BOOLEAN or vice versa. Filter accepts
// nullable and not-nullable conditions, but a CAST might get in the way of
// other rewrites.
final RelDataTypeFactory typeFactory = filter.getCluster().getTypeFactory();
if (RexUtil.isNullabilityCast(typeFactory, newCondition)) {
newCondition = ((RexCall) newCondition).getOperands().get(0);
}
RelNode newFilterRel = filterFactory == null ? filter.copy(filter.getTraitSet(), project.getInput(), newCondition) : filterFactory.createFilter(project.getInput(), newCondition);
RelNode newProjRel = projectFactory == null ? project.copy(project.getTraitSet(), newFilterRel, project.getProjects(), project.getRowType()) : projectFactory.createProject(newFilterRel, Collections.emptyList(), project.getProjects(), project.getRowType().getFieldNames());
call.transformTo(newProjRel);
}
use of org.apache.calcite.rel.type.RelDataTypeFactory in project hive by apache.
the class HiveMaterializedViewsRegistry method createMaterializedViewScan.
private static RelNode createMaterializedViewScan(HiveConf conf, Table viewTable) {
// 0. Recreate cluster
final RelOptPlanner planner = CalcitePlanner.createPlanner(conf);
final RexBuilder rexBuilder = new RexBuilder(new JavaTypeFactoryImpl(new HiveTypeSystemImpl()));
final RelOptCluster cluster = RelOptCluster.create(planner, rexBuilder);
// 1. Create column schema
final RowResolver rr = new RowResolver();
// 1.1 Add Column info for non partion cols (Object Inspector fields)
StructObjectInspector rowObjectInspector;
try {
rowObjectInspector = (StructObjectInspector) viewTable.getDeserializer().getObjectInspector();
} catch (SerDeException e) {
// Bail out
return null;
}
List<? extends StructField> fields = rowObjectInspector.getAllStructFieldRefs();
ColumnInfo colInfo;
String colName;
ArrayList<ColumnInfo> cInfoLst = new ArrayList<>();
for (StructField structField : fields) {
colName = structField.getFieldName();
colInfo = new ColumnInfo(structField.getFieldName(), TypeInfoUtils.getTypeInfoFromObjectInspector(structField.getFieldObjectInspector()), null, false);
rr.put(null, colName, colInfo);
cInfoLst.add(colInfo);
}
ArrayList<ColumnInfo> nonPartitionColumns = new ArrayList<ColumnInfo>(cInfoLst);
// 1.2 Add column info corresponding to partition columns
ArrayList<ColumnInfo> partitionColumns = new ArrayList<ColumnInfo>();
for (FieldSchema part_col : viewTable.getPartCols()) {
colName = part_col.getName();
colInfo = new ColumnInfo(colName, TypeInfoFactory.getPrimitiveTypeInfo(part_col.getType()), null, true);
rr.put(null, colName, colInfo);
cInfoLst.add(colInfo);
partitionColumns.add(colInfo);
}
// 1.3 Build row type from field <type, name>
RelDataType rowType;
try {
rowType = TypeConverter.getType(cluster, rr, null);
} catch (CalciteSemanticException e) {
// Bail out
return null;
}
// 2. Build RelOptAbstractTable
List<String> fullyQualifiedTabName = new ArrayList<>();
if (viewTable.getDbName() != null && !viewTable.getDbName().isEmpty()) {
fullyQualifiedTabName.add(viewTable.getDbName());
}
fullyQualifiedTabName.add(viewTable.getTableName());
RelNode tableRel;
// 3. Build operator
if (obtainTableType(viewTable) == TableType.DRUID) {
// Build Druid query
String address = HiveConf.getVar(conf, HiveConf.ConfVars.HIVE_DRUID_BROKER_DEFAULT_ADDRESS);
String dataSource = viewTable.getParameters().get(Constants.DRUID_DATA_SOURCE);
Set<String> metrics = new HashSet<>();
List<RelDataType> druidColTypes = new ArrayList<>();
List<String> druidColNames = new ArrayList<>();
// @NOTE this code is very similar to the code at org/apache/hadoop/hive/ql/parse/CalcitePlanner.java:2362
// @TODO it will be nice to refactor it
RelDataTypeFactory dtFactory = cluster.getRexBuilder().getTypeFactory();
for (RelDataTypeField field : rowType.getFieldList()) {
if (DruidTable.DEFAULT_TIMESTAMP_COLUMN.equals(field.getName())) {
// Druid's time column is always not null.
druidColTypes.add(dtFactory.createTypeWithNullability(field.getType(), false));
} else {
druidColTypes.add(field.getType());
}
druidColNames.add(field.getName());
if (field.getName().equals(DruidTable.DEFAULT_TIMESTAMP_COLUMN)) {
// timestamp
continue;
}
if (field.getType().getSqlTypeName() == SqlTypeName.VARCHAR) {
// dimension
continue;
}
metrics.add(field.getName());
}
List<Interval> intervals = Collections.singletonList(DruidTable.DEFAULT_INTERVAL);
rowType = dtFactory.createStructType(druidColTypes, druidColNames);
// We can pass null for Hive object because it is only used to retrieve tables
// if constraints on a table object are existing, but constraints cannot be defined
// for materialized views.
RelOptHiveTable optTable = new RelOptHiveTable(null, cluster.getTypeFactory(), fullyQualifiedTabName, rowType, viewTable, nonPartitionColumns, partitionColumns, new ArrayList<>(), conf, null, new QueryTables(true), new HashMap<>(), new HashMap<>(), new AtomicInteger());
DruidTable druidTable = new DruidTable(new DruidSchema(address, address, false), dataSource, RelDataTypeImpl.proto(rowType), metrics, DruidTable.DEFAULT_TIMESTAMP_COLUMN, intervals, null, null);
final TableScan scan = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
tableRel = DruidQuery.create(cluster, cluster.traitSetOf(BindableConvention.INSTANCE), optTable, druidTable, ImmutableList.<RelNode>of(scan), ImmutableMap.of());
} else {
// Build Hive Table Scan Rel.
// We can pass null for Hive object because it is only used to retrieve tables
// if constraints on a table object are existing, but constraints cannot be defined
// for materialized views.
RelOptHiveTable optTable = new RelOptHiveTable(null, cluster.getTypeFactory(), fullyQualifiedTabName, rowType, viewTable, nonPartitionColumns, partitionColumns, new ArrayList<>(), conf, null, new QueryTables(true), new HashMap<>(), new HashMap<>(), new AtomicInteger());
tableRel = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
}
return tableRel;
}
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