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* Licensed to the Apache Software Foundation (ASF) under one
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* 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
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package org.apache.orc;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.ql.exec.vector.DateColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TestName;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.io.File;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Date;
import java.util.GregorianCalendar;
import java.util.List;
import java.util.TimeZone;
import java.util.concurrent.TimeUnit;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
@RunWith(Parameterized.class)
public class TestProlepticConversions {
@Parameterized.Parameter
public boolean writerProlepticGregorian;
@Parameterized.Parameter(1)
public boolean readerProlepticGregorian;
@Parameterized.Parameters
public static Collection<Object[]> getParameters() {
List<Object[]> result = new ArrayList<>();
final boolean[] BOOLEANS = new boolean[]{false, true};
for(Boolean writer: BOOLEANS) {
for (Boolean reader: BOOLEANS) {
result.add(new Object[]{writer, reader});
}
}
return result;
}
private Path workDir = new Path(System.getProperty("test.tmp.dir",
"target" + File.separator + "test" + File.separator + "tmp"));
private final Configuration conf;
private final TimeZone UTC = TimeZone.getTimeZone("UTC");
private final GregorianCalendar PROLEPTIC = new GregorianCalendar();
private final GregorianCalendar HYBRID = new GregorianCalendar();
{
conf = new Configuration();
PROLEPTIC.setTimeZone(UTC);
PROLEPTIC.setGregorianChange(new Date(Long.MIN_VALUE));
HYBRID.setTimeZone(UTC);
}
private FileSystem fs;
private Path testFilePath;
@Rule
public TestName testCaseName = new TestName();
@Before
public void setupPath() throws Exception {
fs = FileSystem.getLocal(conf);
testFilePath = new Path(workDir, "TestProlepticConversion." +
testCaseName.getMethodName().replaceFirst("\\[[0-9]+]", "") + ".orc");
fs.delete(testFilePath, false);
}
private SimpleDateFormat createParser(String format, GregorianCalendar calendar) {
SimpleDateFormat result = new SimpleDateFormat(format);
result.setCalendar(calendar);
return result;
}
@Test
public void testReadWrite() throws Exception {
TypeDescription schema = TypeDescription.fromString(
"struct<d:date,t:timestamp,i:timestamp with local time zone>");
try (Writer writer = OrcFile.createWriter(testFilePath,
OrcFile.writerOptions(conf)
.setSchema(schema)
.fileSystem(fs)
.setProlepticGregorian(writerProlepticGregorian))) {
VectorizedRowBatch batch = schema.createRowBatchV2();
batch.size = 1024;
DateColumnVector d = (DateColumnVector) batch.cols[0];
TimestampColumnVector t = (TimestampColumnVector) batch.cols[1];
TimestampColumnVector i = (TimestampColumnVector) batch.cols[2];
d.changeCalendar(writerProlepticGregorian, false);
t.changeCalendar(writerProlepticGregorian, false);
i.changeCalendar(writerProlepticGregorian, false);
GregorianCalendar cal = writerProlepticGregorian ? PROLEPTIC : HYBRID;
SimpleDateFormat dateFormat = createParser("yyyy-MM-dd", cal);
SimpleDateFormat timeFormat = createParser("yyyy-MM-dd HH:mm:ss", cal);
for(int r=0; r < batch.size; ++r) {
d.vector[r] = TimeUnit.MILLISECONDS.toDays(
dateFormat.parse(String.format("%04d-01-23", r * 2 + 1)).getTime());
Date val = timeFormat.parse(
String.format("%04d-03-21 %02d:12:34", 2 * r + 1, r % 24));
t.time[r] = val.getTime();
t.nanos[r] = 0;
i.time[r] = val.getTime();
i.nanos[r] = 0;
}
writer.addRowBatch(batch);
}
try (Reader reader = OrcFile.createReader(testFilePath,
OrcFile.readerOptions(conf)
.filesystem(fs)
.convertToProlepticGregorian(readerProlepticGregorian));
RecordReader rows = reader.rows(reader.options())) {
assertEquals(writerProlepticGregorian, reader.writerUsedProlepticGregorian());
VectorizedRowBatch batch = reader.getSchema().createRowBatchV2();
DateColumnVector d = (DateColumnVector) batch.cols[0];
TimestampColumnVector t = (TimestampColumnVector) batch.cols[1];
TimestampColumnVector i = (TimestampColumnVector) batch.cols[2];
GregorianCalendar cal = readerProlepticGregorian ? PROLEPTIC : HYBRID;
SimpleDateFormat dateFormat = createParser("yyyy-MM-dd", cal);
SimpleDateFormat timeFormat = createParser("yyyy-MM-dd HH:mm:ss", cal);
// Check the file statistics
ColumnStatistics[] colStats = reader.getStatistics();
DateColumnStatistics dStats = (DateColumnStatistics) colStats[1];
TimestampColumnStatistics tStats = (TimestampColumnStatistics) colStats[2];
TimestampColumnStatistics iStats = (TimestampColumnStatistics) colStats[3];
assertEquals("0001-01-23", dateFormat.format(dStats.getMinimum()));
assertEquals("2047-01-23", dateFormat.format(dStats.getMaximum()));
assertEquals("0001-03-21 00:12:34", timeFormat.format(tStats.getMinimum()));
assertEquals("2047-03-21 15:12:34", timeFormat.format(tStats.getMaximum()));
assertEquals("0001-03-21 00:12:34", timeFormat.format(iStats.getMinimum()));
assertEquals("2047-03-21 15:12:34", timeFormat.format(iStats.getMaximum()));
// Check the stripe stats
List<StripeStatistics> stripeStats = reader.getStripeStatistics();
assertEquals(1, stripeStats.size());
colStats = stripeStats.get(0).getColumnStatistics();
dStats = (DateColumnStatistics) colStats[1];
tStats = (TimestampColumnStatistics) colStats[2];
iStats = (TimestampColumnStatistics) colStats[3];
assertEquals("0001-01-23", dateFormat.format(dStats.getMinimum()));
assertEquals("2047-01-23", dateFormat.format(dStats.getMaximum()));
assertEquals("0001-03-21 00:12:34", timeFormat.format(tStats.getMinimum()));
assertEquals("2047-03-21 15:12:34", timeFormat.format(tStats.getMaximum()));
assertEquals("0001-03-21 00:12:34", timeFormat.format(iStats.getMinimum()));
assertEquals("2047-03-21 15:12:34", timeFormat.format(iStats.getMaximum()));
// Check the data
assertTrue(rows.nextBatch(batch));
assertEquals(1024, batch.size);
// Ensure the column vectors are using the right calendar
assertEquals(readerProlepticGregorian, d.isUsingProlepticCalendar());
assertEquals(readerProlepticGregorian, t.usingProlepticCalendar());
assertEquals(readerProlepticGregorian, i.usingProlepticCalendar());
for(int r=0; r < batch.size; ++r) {
String expectedD = String.format("%04d-01-23", r * 2 + 1);
String expectedT = String.format("%04d-03-21 %02d:12:34", 2 * r + 1, r % 24);
assertEquals("row " + r, expectedD, dateFormat.format(
new Date(TimeUnit.DAYS.toMillis(d.vector[r]))));
assertEquals("row " + r, expectedT, timeFormat.format(t.asScratchTimestamp(r)));
assertEquals("row " + r, expectedT, timeFormat.format(i.asScratchTimestamp(r)));
}
}
}
}