io.cdap.directives.transformation.Quantization Maven / Gradle / Ivy
/*
* Copyright © 2017-2019 Cask Data, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
package io.cdap.directives.transformation;
import com.google.common.collect.Range;
import com.google.common.collect.RangeMap;
import com.google.common.collect.TreeRangeMap;
import io.cdap.cdap.api.annotation.Description;
import io.cdap.cdap.api.annotation.Name;
import io.cdap.cdap.api.annotation.Plugin;
import io.cdap.wrangler.api.Arguments;
import io.cdap.wrangler.api.Directive;
import io.cdap.wrangler.api.DirectiveExecutionException;
import io.cdap.wrangler.api.DirectiveParseException;
import io.cdap.wrangler.api.ExecutorContext;
import io.cdap.wrangler.api.Row;
import io.cdap.wrangler.api.Triplet;
import io.cdap.wrangler.api.annotations.Categories;
import io.cdap.wrangler.api.lineage.Lineage;
import io.cdap.wrangler.api.lineage.Mutation;
import io.cdap.wrangler.api.parser.ColumnName;
import io.cdap.wrangler.api.parser.Numeric;
import io.cdap.wrangler.api.parser.Ranges;
import io.cdap.wrangler.api.parser.TokenType;
import io.cdap.wrangler.api.parser.UsageDefinition;
import java.util.ArrayList;
import java.util.List;
/**
* A Wrangler step for quantizing a column.
*/
@Plugin(type = Directive.TYPE)
@Name(Quantization.NAME)
@Categories(categories = { "transform"})
@Description("Quanitize the range of numbers into label values.")
public class Quantization implements Directive, Lineage {
public static final String NAME = "quantize";
private final RangeMap rangeMap = TreeRangeMap.create();
private String col1;
private String col2;
@Override
public UsageDefinition define() {
UsageDefinition.Builder builder = UsageDefinition.builder(NAME);
builder.define("source", TokenType.COLUMN_NAME);
builder.define("destination", TokenType.COLUMN_NAME);
builder.define("ranges", TokenType.RANGES);
return builder.build();
}
@Override
public void initialize(Arguments args) throws DirectiveParseException {
this.col1 = ((ColumnName) args.value("source")).value();
this.col2 = ((ColumnName) args.value("destination")).value();
List> ranges = ((Ranges) args.value("ranges")).value();
for (Triplet range : ranges) {
double lower = range.getFirst().value().doubleValue();
double upper = range.getSecond().value().doubleValue();
rangeMap.put(Range.closed(lower, upper), range.getThird());
}
}
@Override
public void destroy() {
// no-op
}
@Override
public List execute(List rows, ExecutorContext context) throws DirectiveExecutionException {
List results = new ArrayList<>();
for (Row row : rows) {
int idx = row.find(col1);
if (idx != -1) {
try {
Object object = row.getValue(idx);
if (object == null) {
throw new DirectiveExecutionException(
NAME, String.format("Column '%s' has null value. It should be a non-null 'String', " +
"'Float' or 'Double'.", col1));
}
Double d;
if (object instanceof String) {
d = Double.parseDouble((String) object);
} else if (object instanceof Double) {
d = (Double) object;
} else if (object instanceof Float) {
d = ((Float) object).doubleValue();
} else {
throw new DirectiveExecutionException(
NAME, String.format("Column '%s' has invalid type '%s'. It should be of type 'String', " +
"'Float' or 'Double'.", col1, object.getClass().getSimpleName()));
}
String value = rangeMap.get(d);
int destIdx = row.find(col2);
if (destIdx == -1) {
row.add(col2, value);
} else {
row.setValue(destIdx, value);
}
} catch (NumberFormatException e) {
throw new DirectiveExecutionException(
NAME, String.format("Column '%s' has invalid type. It should be of type 'String', " +
"'Float' or 'Double'.", col1), e);
}
} else {
throw new DirectiveExecutionException(NAME, "Column '" + col1 + "' does not exist.");
}
results.add(row);
}
return results;
}
@Override
public Mutation lineage() {
return Mutation.builder()
.readable("Quanitized column '%s' into column '%s'", col1, col2)
.conditional(col1, col2)
.build();
}
}