/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.hadoop.zebra.pig;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.StringTokenizer;
import junit.framework.Assert;
import junit.framework.TestCase;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.RawLocalFileSystem;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.zebra.io.BasicTable;
import org.apache.hadoop.zebra.io.TableInserter;
import org.apache.hadoop.zebra.io.TableScanner;
import org.apache.hadoop.zebra.io.BasicTable.Reader.RangeSplit;
import org.apache.hadoop.zebra.types.ParseException;
import org.apache.hadoop.zebra.types.Projection;
import org.apache.hadoop.zebra.types.Schema;
import org.apache.hadoop.zebra.types.TypesUtils;
import org.apache.pig.ExecType;
import org.apache.pig.PigServer;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DataByteArray;
import org.apache.pig.data.Tuple;
import org.apache.pig.test.MiniCluster;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
/**
*
* Test projections on complicated column types.
*
*/
public class TestCollection {
final static String STR_SCHEMA = "c:collection(a:double, b:float, c:bytes)";
final static String STR_STORAGE = "[c]";
private static Configuration conf;
private static FileSystem fs;
protected static ExecType execType = ExecType.MAPREDUCE;
private static MiniCluster cluster;
protected static PigServer pigServer;
private static Path path;
@BeforeClass
public static void setUpOnce() throws IOException {
System.out.println("ONCE SETUP !! ---------");
if (System.getProperty("hadoop.log.dir") == null) {
String base = new File(".").getPath(); // getAbsolutePath();
System
.setProperty("hadoop.log.dir", new Path(base).toString() + "./logs");
}
if (execType == ExecType.MAPREDUCE) {
cluster = MiniCluster.buildCluster();
pigServer = new PigServer(ExecType.MAPREDUCE, cluster.getProperties());
} else {
pigServer = new PigServer(ExecType.LOCAL);
}
conf = new Configuration();
FileSystem fs = cluster.getFileSystem();
Path pathWorking = fs.getWorkingDirectory();
// path = new Path(pathWorking, this.getClass().getSimpleName());
path = fs.getWorkingDirectory();
System.out.println("path =" + path);
BasicTable.Writer writer = new BasicTable.Writer(path, STR_SCHEMA,
STR_STORAGE, false, conf);
/*
* conf = new Configuration();
* conf.setInt("table.output.tfile.minBlock.size", 64 * 1024);
* conf.setInt("table.input.split.minSize", 64 * 1024);
* conf.set("table.output.tfile.compression", "none");
*
* RawLocalFileSystem rawLFS = new RawLocalFileSystem(); fs = new
* LocalFileSystem(rawLFS); path = new Path(fs.getWorkingDirectory(),
* this.getClass() .getSimpleName()); fs = path.getFileSystem(conf); // drop
* any previous tables BasicTable.drop(path, conf); BasicTable.Writer writer
* = new BasicTable.Writer(path, STR_SCHEMA, STR_STORAGE, false, conf);
*/
/*
* /* Schema schema = writer.getSchema(); Tuple tuple =
* TypesUtils.createTuple(schema);
*
* final int numsBatch = 10; final int numsInserters = 2; TableInserter[]
* inserters = new TableInserter[numsInserters]; for (int i = 0; i <
* numsInserters; i++) { inserters[i] = writer.getInserter("ins" + i,
* false); }
*
* for (int b = 0; b < numsBatch; b++) { for (int i = 0; i < numsInserters;
* i++) { TypesUtils.resetTuple(tuple);
*
* DataBag bagColl = TypesUtils.createBag(); Schema schColl =
* schema.getColumn(0).getSchema(); Tuple tupColl1 =
* TypesUtils.createTuple(schColl); Tuple tupColl2 =
* TypesUtils.createTuple(schColl); byte[] abs1 = new byte[3]; byte[] abs2 =
* new byte[4]; tupColl1.set(0, 3.1415926); tupColl1.set(1, 1.6); abs1[0] =
* 11; abs1[1] = 12; abs1[2] = 13; tupColl1.set(2, new DataByteArray(abs1));
* bagColl.add(tupColl1); tupColl2.set(0, 123.456789); tupColl2.set(1, 100);
* abs2[0] = 21; abs2[1] = 22; abs2[2] = 23; abs2[3] = 24; tupColl2.set(2,
* new DataByteArray(abs2)); bagColl.add(tupColl2); tuple.set(0, bagColl);
*
* inserters[i].insert(new BytesWritable(("key" + i).getBytes()), tuple); }
* } for (int i = 0; i < numsInserters; i++) { inserters[i].close(); }
*/
writer.finish();
Schema schema = writer.getSchema();
Tuple tuple = TypesUtils.createTuple(schema);
BasicTable.Writer writer1 = new BasicTable.Writer(path, conf);
int part = 0;
TableInserter inserter = writer1.getInserter("part" + part, true);
TypesUtils.resetTuple(tuple);
DataBag bagColl = TypesUtils.createBag();
Schema schColl = schema.getColumn(0).getSchema();
Tuple tupColl1 = TypesUtils.createTuple(schColl);
Tuple tupColl2 = TypesUtils.createTuple(schColl);
byte[] abs1 = new byte[3];
byte[] abs2 = new byte[4];
tupColl1.set(0, 3.1415926);
tupColl1.set(1, 1.6);
abs1[0] = 11;
abs1[1] = 12;
abs1[2] = 13;
tupColl1.set(2, new DataByteArray(abs1));
bagColl.add(tupColl1);
tupColl2.set(0, 123.456789);
tupColl2.set(1, 100);
abs2[0] = 21;
abs2[1] = 22;
abs2[2] = 23;
abs2[3] = 24;
tupColl2.set(2, new DataByteArray(abs2));
bagColl.add(tupColl2);
tuple.set(0, bagColl);
int row = 0;
inserter.insert(new BytesWritable(String.format("k%d%d", part + 1, row + 1)
.getBytes()), tuple);
bagColl.clear();
TypesUtils.resetTuple(tupColl1);
TypesUtils.resetTuple(tupColl2);
tupColl1.set(0, 7654.321);
tupColl1.set(1, 0.0001);
abs1[0] = 31;
abs1[1] = 32;
abs1[2] = 33;
tupColl1.set(2, new DataByteArray(abs1));
bagColl.add(tupColl1);
tupColl2.set(0, 0.123456789);
tupColl2.set(1, 0.3333);
abs2[0] = 41;
abs2[1] = 42;
abs2[2] = 43;
abs2[3] = 44;
tupColl2.set(2, new DataByteArray(abs2));
bagColl.add(tupColl2);
tuple.set(0, bagColl);
inserter.insert(new BytesWritable(String.format("k%d%d", part + 1, row + 1)
.getBytes()), tuple);
inserter.close();
writer1.finish();
writer.close();
}
@AfterClass
public static void tearDownOnce() throws IOException {
BasicTable.drop(path, conf);
}
@Test
public void testRead1() throws IOException, ParseException {
String query = "records = LOAD '" + path.toString()
+ "' USING org.apache.pig.table.pig.TableLoader('c');";
System.out.println(query);
pigServer.registerQuery(query);
Iterator<Tuple> it = pigServer.openIterator("records");
int row = 0;
int inner = 0;
while (it.hasNext()) {
Tuple cur = it.next();
row++;
if (row == 1) {
Iterator<Tuple> bag = ((DataBag) cur.get(0)).iterator();
while (bag.hasNext()) {
Tuple cur2 = bag.next();
inner++;
if (inner == 1) {
Assert.assertEquals(3.1415926, cur2.get(0));
Assert.assertEquals(1.6, cur2.get(1));
}
if (inner == 2) {
Assert.assertEquals(123.456789, cur2.get(0));
Assert.assertEquals(100, cur2.get(1));
}
}// inner while
} // if count ==1
if (row == 2) {
Iterator<Tuple> bag = ((DataBag) cur.get(0)).iterator();
while (bag.hasNext()) {
Tuple cur2 = bag.next();
inner++;
if (inner == 1) {
Assert.assertEquals(7654.321, cur2.get(0));
Assert.assertEquals(0.0001, cur2.get(1));
System.out.println("cur : " + cur2.toString());
System.out.println("byte : " + cur2.get(2).toString());
}
if (inner == 2) {
Assert.assertEquals(0.123456789, cur2.get(0));
Assert.assertEquals(0.3333, cur2.get(1));
System.out.println("byte : " + cur2.get(2).toString());
}
}// inner while
}// if count ==2
TypesUtils.resetTuple(cur);
}
}
@Test
// Negative none exist column, using IO layer impl
public void testRead2() throws IOException, ParseException {
String projection = new String("d");
BasicTable.Reader reader = new BasicTable.Reader(path, conf);
reader.setProjection(projection);
List<RangeSplit> splits = reader.rangeSplit(1);
TableScanner scanner = reader.getScanner(splits.get(0), true);
BytesWritable key = new BytesWritable();
Tuple RowValue = TypesUtils.createTuple(scanner.getSchema());
scanner.getKey(key);
// Assert.assertEquals(key, new BytesWritable("k11".getBytes()));
scanner.getValue(RowValue);
// RowValue is an emplty record
Assert.assertEquals(false, RowValue.isNull());
Assert.assertEquals(null, RowValue.get(0));
Assert.assertEquals(1, RowValue.size());
reader.close();
}
// Negative none exist column, TODO: failed, throw null pointer
public void testReadNeg2() throws IOException, ParseException {
String query = "records = LOAD '" + path.toString()
+ "' USING org.apache.hadoop.zebra.pig.TableLoader('d');";
System.out.println(query);
pigServer.registerQuery(query);
// TODO: verify it returns a tuple with null value
}
}