
org.apache.nifi.sql.internal.NiFiTableScan Maven / Gradle / Ivy
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package org.apache.nifi.sql.internal;
import org.apache.calcite.adapter.enumerable.EnumerableConvention;
import org.apache.calcite.adapter.enumerable.EnumerableRel;
import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor;
import org.apache.calcite.adapter.enumerable.PhysType;
import org.apache.calcite.adapter.enumerable.PhysTypeImpl;
import org.apache.calcite.adapter.java.JavaTypeFactory;
import org.apache.calcite.linq4j.tree.BlockStatement;
import org.apache.calcite.linq4j.tree.Blocks;
import org.apache.calcite.linq4j.tree.ConstantExpression;
import org.apache.calcite.linq4j.tree.Expression;
import org.apache.calcite.linq4j.tree.Expressions;
import org.apache.calcite.linq4j.tree.MethodCallExpression;
import org.apache.calcite.linq4j.tree.ParameterExpression;
import org.apache.calcite.plan.RelOptCluster;
import org.apache.calcite.plan.RelOptCost;
import org.apache.calcite.plan.RelOptPlanner;
import org.apache.calcite.plan.RelOptTable;
import org.apache.calcite.rel.core.TableScan;
import org.apache.calcite.rel.metadata.RelMetadataQuery;
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rel.type.RelDataTypeFactory;
import org.apache.calcite.rel.type.RelDataTypeField;
import java.util.Collections;
import java.util.List;
class NiFiTableScan extends TableScan implements EnumerableRel {
private final ConstantExpression fieldExpression;
private final int[] fields;
protected NiFiTableScan(final RelOptCluster cluster, final RelOptTable table, final int[] fields) {
super(cluster, cluster.traitSetOf(EnumerableConvention.INSTANCE), Collections.emptyList(), table);
this.fields = fields;
fieldExpression = Expressions.constant(fields);
}
@Override
public void register(final RelOptPlanner planner) {
planner.addRule(new NiFiProjectTableScanRule(NiFiProjectTableScanRule.Config.DEFAULT));
}
@Override
public RelDataType deriveRowType() {
final List fieldList = table.getRowType().getFieldList();
final RelDataTypeFactory.Builder builder = getCluster().getTypeFactory().builder();
for (final int field : fields) {
builder.add(fieldList.get(field));
}
return builder.build();
}
// Logic taken directly from the Calcite CSV Tutorial
@Override
public RelOptCost computeSelfCost(final RelOptPlanner planner, final RelMetadataQuery mq) {
// Multiply the cost by a factor that makes a scan more attractive if it
// has significantly fewer fields than the original scan.
//
// The "+ 2D" on top and bottom keeps the function fairly smooth.
//
// For example, if table has 3 fields, project has 1 field,
// then factor = (1 + 2) / (3 + 2) = 0.6
return super.computeSelfCost(planner, mq)
.multiplyBy(((double) fields.length + 2D)
/ ((double) table.getRowType().getFieldCount() + 2D));
}
@Override
public Result implement(final EnumerableRelImplementor implementor, final Prefer pref) {
final JavaTypeFactory typeFactory = implementor.getTypeFactory();
final ParameterExpression rootExpression = implementor.getRootExpression();
final PhysType physType = PhysTypeImpl.of(typeFactory, getRowType(), pref.preferArray());
final Expression tableExpression = table.getExpression(CalciteTable.class);
final MethodCallExpression methodCallExpression = Expressions.call(tableExpression, "project", rootExpression, fieldExpression);
final BlockStatement blockStatement = Blocks.toBlock(methodCallExpression);
return implementor.result(physType, blockStatement);
}
}
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