本文整理汇总了Java中org.apache.hadoop.hive.ql.io.RCFileOutputFormat.setColumnNumber方法的典型用法代码示例。如果您正苦于以下问题：Java RCFileOutputFormat.setColumnNumber方法的具体用法？Java RCFileOutputFormat.setColumnNumber怎么用？Java RCFileOutputFormat.setColumnNumber使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.hive.ql.io.RCFileOutputFormat的用法示例。
在下文中一共展示了RCFileOutputFormat.setColumnNumber方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: setStoreLocation
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat; //导入方法依赖的package包/类
@Override
public void setStoreLocation(String location, Job job) throws IOException {
super.setStoreLocation(location, job);
// set number of columns if this is set in context.
Properties p = getUDFProperties();
if (p != null) {
numColumns = Integer.parseInt(p.getProperty("numColumns", "-1"));
}
if (numColumns > 0) {
RCFileOutputFormat.setColumnNumber(job.getConfiguration(), numColumns);
}
}
示例2: writeRCFileTest
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat; //导入方法依赖的package包/类
private static int writeRCFileTest(FileSystem fs, int rowCount, Path file, int columnNum,
CompressionCodec codec, int columnCount) throws IOException {
fs.delete(file, true);
int rowsWritten = 0;
resetRandomGenerators();
RCFileOutputFormat.setColumnNumber(conf, columnNum);
RCFile.Writer writer = new RCFile.Writer(fs, conf, file, null, codec);
byte[][] columnRandom;
BytesRefArrayWritable bytes = new BytesRefArrayWritable(columnNum);
columnRandom = new byte[columnNum][];
for (int i = 0; i < columnNum; i++) {
BytesRefWritable cu = new BytesRefWritable();
bytes.set(i, cu);
}
for (int i = 0; i < rowCount; i++) {
nextRandomRow(columnRandom, bytes, columnCount);
rowsWritten++;
writer.append(bytes);
}
writer.close();
return rowsWritten;
}
示例3: writeRCFileTest
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat; //导入方法依赖的package包/类
private static int writeRCFileTest(FileSystem fs, int rowCount, Path file, int columnNum,
CompressionCodec codec, int columnCount) throws IOException {
fs.delete(file, true);
int rowsWritten = 0;
RCFileOutputFormat.setColumnNumber(conf, columnNum);
RCFile.Writer writer = new RCFile.Writer(fs, conf, file, null, codec);
byte[][] columnRandom;
BytesRefArrayWritable bytes = new BytesRefArrayWritable(columnNum);
columnRandom = new byte[columnNum][];
for (int i = 0; i < columnNum; i++) {
BytesRefWritable cu = new BytesRefWritable();
bytes.set(i, cu);
}
for (int i = 0; i < rowCount; i++) {
bytes.resetValid(columnRandom.length);
for (int j = 0; j < columnRandom.length; j++) {
columnRandom[j]= "Sample value".getBytes();
bytes.get(j).set(columnRandom[j], 0, columnRandom[j].length);
}
rowsWritten++;
writer.append(bytes);
}
writer.close();
return rowsWritten;
}
示例4: writeRCFileTest
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat; //导入方法依赖的package包/类
private static int writeRCFileTest(FileSystem fs, int rowCount, Path file,
int columnNum, CompressionCodec codec, int columnCount)
throws IOException {
fs.delete(file, true);
int rowsWritten = 0;
resetRandomGenerators();
RCFileOutputFormat.setColumnNumber(conf, columnNum);
RCFile.Writer writer = new RCFile.Writer(fs, conf, file, null, codec);
byte[][] columnRandom;
BytesRefArrayWritable bytes = new BytesRefArrayWritable(columnNum);
columnRandom = new byte[columnNum][];
for (int i = 0; i < columnNum; i++) {
BytesRefWritable cu = new BytesRefWritable();
bytes.set(i, cu);
}
for (int i = 0; i < rowCount; i++) {
nextRandomRow(columnRandom, bytes, columnCount);
rowsWritten++;
writer.append(bytes);
}
writer.close();
return rowsWritten;
}
示例5: writeTestData
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat; //导入方法依赖的package包/类
@Override
public void writeTestData(File file, int recordCounts, int columnCount,
String colSeparator) throws IOException {
// write random test data
Configuration conf = new Configuration();
FileSystem fs = FileSystem.getLocal(conf);
RCFileOutputFormat.setColumnNumber(conf, columnCount);
RCFile.Writer writer = new RCFile.Writer(fs, conf, new Path(
file.getAbsolutePath()));
BytesRefArrayWritable bytes = new BytesRefArrayWritable(columnCount);
for (int c = 0; c < columnCount; c++) {
bytes.set(c, new BytesRefWritable());
}
try {
for (int r = 0; r < recordCounts; r++) {
// foreach row write n columns
for (int c = 0; c < columnCount; c++) {
byte[] stringbytes = String.valueOf(Math.random())
.getBytes();
bytes.get(c).set(stringbytes, 0, stringbytes.length);
}
writer.append(bytes);
}
} finally {
writer.close();
}
}