/** Creates a DrillScan. */
public DrillScanRel(
final RelOptCluster cluster, final RelTraitSet traits, final RelOptTable table) {
// By default, scan does not support project pushdown.
// Decision whether push projects into scan will be made solely in DrillPushProjIntoScanRule.
this(cluster, traits, table, table.getRowType(), GroupScan.ALL_COLUMNS);
this.settings = PrelUtil.getPlannerSettings(cluster.getPlanner());
}
/** Creates a DrillScanRel for a particular GroupScan */
public DrillScanRel(
final RelOptCluster cluster,
final RelTraitSet traits,
final RelOptTable table,
final GroupScan groupScan,
final RelDataType rowType,
final List<SchemaPath> columns) {
super(DRILL_LOGICAL, cluster, traits, table);
this.rowType = rowType;
this.columns = columns;
this.groupScan = groupScan;
this.settings = PrelUtil.getPlannerSettings(cluster.getPlanner());
}
/// TODO: this method is same as the one for ScanPrel...eventually we should consolidate
/// this and few other methods in a common base class which would be extended
/// by both logical and physical rels.
@Override
public RelOptCost computeSelfCost(final RelOptPlanner planner) {
final ScanStats stats = groupScan.getScanStats(settings);
int columnCount = getRowType().getFieldCount();
double ioCost = 0;
boolean isStarQuery =
Iterables.tryFind(
getRowType().getFieldNames(),
new Predicate<String>() {
@Override
public boolean apply(String input) {
return Preconditions.checkNotNull(input).equals("*");
}
})
.isPresent();
if (isStarQuery) {
columnCount = STAR_COLUMN_COST;
}
// double rowCount = RelMetadataQuery.getRowCount(this);
double rowCount = stats.getRecordCount();
if (rowCount < 1) {
rowCount = 1;
}
if (PrelUtil.getSettings(getCluster()).useDefaultCosting()) {
return planner
.getCostFactory()
.makeCost(rowCount * columnCount, stats.getCpuCost(), stats.getDiskCost());
}
double cpuCost =
rowCount * columnCount; // for now, assume cpu cost is proportional to row count.
// Even though scan is reading from disk, in the currently generated plans all plans will
// need to read the same amount of data, so keeping the disk io cost 0 is ok for now.
// In the future we might consider alternative scans that go against projections or
// different compression schemes etc that affect the amount of data read. Such alternatives
// would affect both cpu and io cost.
DrillCostFactory costFactory = (DrillCostFactory) planner.getCostFactory();
return costFactory.makeCost(rowCount, cpuCost, ioCost, 0);
}
/** Creates a DrillScan. */
public DrillScanRel(
final RelOptCluster cluster,
final RelTraitSet traits,
final RelOptTable table,
final RelDataType rowType,
final List<SchemaPath> columns) {
super(DRILL_LOGICAL, cluster, traits, table);
this.settings = PrelUtil.getPlannerSettings(cluster.getPlanner());
this.rowType = rowType;
if (columns == null) { // planner asks to scan all of the columns
this.columns = ColumnList.all();
} else if (columns.size() == 0) { // planner asks to skip all of the columns
this.columns = ColumnList.none();
} else { // planner asks to scan some columns
this.columns = ColumnList.some(columns);
}
try {
this.groupScan = drillTable.getGroupScan().clone(this.columns);
} catch (final IOException e) {
throw new DrillRuntimeException("Failure creating scan.", e);
}
}
protected void doMatch(
RelOptRuleCall call, ScanPrel scan, ProjectPrel project, FilterPrel filter) {
final RexNode condition = filter.getCondition();
InfoSchemaGroupScan groupScan = (InfoSchemaGroupScan) scan.getGroupScan();
if (groupScan.isFilterPushedDown()) {
return;
}
LogicalExpression conditionExp =
DrillOptiq.toDrill(
new DrillParseContext(PrelUtil.getPlannerSettings(call.getPlanner())),
project != null ? project : scan,
condition);
InfoSchemaFilterBuilder filterBuilder = new InfoSchemaFilterBuilder(conditionExp);
InfoSchemaFilter infoSchemaFilter = filterBuilder.build();
if (infoSchemaFilter == null) {
return; // no filter pushdown ==> No transformation.
}
final InfoSchemaGroupScan newGroupsScan =
new InfoSchemaGroupScan(groupScan.getTable(), infoSchemaFilter);
newGroupsScan.setFilterPushedDown(true);
RelNode input = ScanPrel.create(scan, filter.getTraitSet(), newGroupsScan, scan.getRowType());
if (project != null) {
input =
project.copy(project.getTraitSet(), input, project.getProjects(), filter.getRowType());
}
if (filterBuilder.isAllExpressionsConverted()) {
// Filter can be removed as all expressions in the filter are converted and pushed to scan
call.transformTo(input);
} else {
call.transformTo(filter.copy(filter.getTraitSet(), ImmutableList.of(input)));
}
}
@Override
public Prel visitProject(ProjectPrel project, Object unused) throws RelConversionException {
// Apply the rule to the child
RelNode originalInput = ((Prel) project.getInput(0)).accept(this, null);
project = (ProjectPrel) project.copy(project.getTraitSet(), Lists.newArrayList(originalInput));
List<RexNode> exprList = new ArrayList<>();
List<RelDataTypeField> relDataTypes = new ArrayList();
List<RelDataTypeField> origRelDataTypes = new ArrayList();
int i = 0;
final int lastColumnReferenced = PrelUtil.getLastUsedColumnReference(project.getProjects());
if (lastColumnReferenced == -1) {
return project;
}
final int lastRexInput = lastColumnReferenced + 1;
RexVisitorComplexExprSplitter exprSplitter =
new RexVisitorComplexExprSplitter(factory, funcReg, lastRexInput);
for (RexNode rex : project.getChildExps()) {
origRelDataTypes.add(project.getRowType().getFieldList().get(i));
i++;
exprList.add(rex.accept(exprSplitter));
}
List<RexNode> complexExprs = exprSplitter.getComplexExprs();
if (complexExprs.size() == 1 && findTopComplexFunc(project.getChildExps()).size() == 1) {
return project;
}
ProjectPrel childProject;
List<RexNode> allExprs = new ArrayList();
int exprIndex = 0;
List<String> fieldNames = originalInput.getRowType().getFieldNames();
for (int index = 0; index < lastRexInput; index++) {
RexBuilder builder = new RexBuilder(factory);
allExprs.add(
builder.makeInputRef(new RelDataTypeDrillImpl(new RelDataTypeHolder(), factory), index));
if (fieldNames.get(index).contains(StarColumnHelper.STAR_COLUMN)) {
relDataTypes.add(
new RelDataTypeFieldImpl(
fieldNames.get(index), allExprs.size(), factory.createSqlType(SqlTypeName.ANY)));
} else {
relDataTypes.add(
new RelDataTypeFieldImpl(
"EXPR$" + exprIndex, allExprs.size(), factory.createSqlType(SqlTypeName.ANY)));
exprIndex++;
}
}
RexNode currRexNode;
int index = lastRexInput - 1;
// if the projection expressions contained complex outputs, split them into their own individual
// projects
if (complexExprs.size() > 0) {
while (complexExprs.size() > 0) {
if (index >= lastRexInput) {
allExprs.remove(allExprs.size() - 1);
RexBuilder builder = new RexBuilder(factory);
allExprs.add(
builder.makeInputRef(
new RelDataTypeDrillImpl(new RelDataTypeHolder(), factory), index));
}
index++;
exprIndex++;
currRexNode = complexExprs.remove(0);
allExprs.add(currRexNode);
relDataTypes.add(
new RelDataTypeFieldImpl(
"EXPR$" + exprIndex, allExprs.size(), factory.createSqlType(SqlTypeName.ANY)));
childProject =
new ProjectPrel(
project.getCluster(),
project.getTraitSet(),
originalInput,
ImmutableList.copyOf(allExprs),
new RelRecordType(relDataTypes));
originalInput = childProject;
}
// copied from above, find a better way to do this
allExprs.remove(allExprs.size() - 1);
RexBuilder builder = new RexBuilder(factory);
allExprs.add(
builder.makeInputRef(new RelDataTypeDrillImpl(new RelDataTypeHolder(), factory), index));
relDataTypes.add(
new RelDataTypeFieldImpl(
"EXPR$" + index, allExprs.size(), factory.createSqlType(SqlTypeName.ANY)));
}
return (Prel)
project.copy(
project.getTraitSet(), originalInput, exprList, new RelRecordType(origRelDataTypes));
}
