use of org.apache.calcite.adapter.druid.DruidSchema in project hive by apache.
the class HiveMaterializedViewsRegistry method createTableScan.
private static RelNode createTableScan(Table viewTable) {
// 0. Recreate cluster
final RelOptPlanner planner = HiveVolcanoPlanner.createPlanner(null);
final RexBuilder rexBuilder = new RexBuilder(new JavaTypeFactoryImpl());
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<ColumnInfo>();
for (int i = 0; i < fields.size(); i++) {
colName = fields.get(i).getFieldName();
colInfo = new ColumnInfo(fields.get(i).getFieldName(), TypeInfoUtils.getTypeInfoFromObjectInspector(fields.get(i).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
String fullyQualifiedTabName = viewTable.getDbName();
if (fullyQualifiedTabName != null && !fullyQualifiedTabName.isEmpty()) {
fullyQualifiedTabName = fullyQualifiedTabName + "." + viewTable.getTableName();
} else {
fullyQualifiedTabName = viewTable.getTableName();
}
RelOptHiveTable optTable = new RelOptHiveTable(null, fullyQualifiedTabName, rowType, viewTable, nonPartitionColumns, partitionColumns, new ArrayList<VirtualColumn>(), SessionState.get().getConf(), new HashMap<String, PrunedPartitionList>(), new AtomicInteger());
RelNode tableRel;
// 3. Build operator
if (obtainTableType(viewTable) == TableType.DRUID) {
// Build Druid query
String address = HiveConf.getVar(SessionState.get().getConf(), 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<>();
for (RelDataTypeField field : rowType.getFieldList()) {
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 = Arrays.asList(DruidTable.DEFAULT_INTERVAL);
DruidTable druidTable = new DruidTable(new DruidSchema(address, address, false), dataSource, RelDataTypeImpl.proto(rowType), metrics, DruidTable.DEFAULT_TIMESTAMP_COLUMN, intervals);
final TableScan scan = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
tableRel = DruidQuery.create(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, druidTable, ImmutableList.<RelNode>of(scan));
} else {
// Build Hive Table Scan Rel
tableRel = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
}
return tableRel;
}
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