下面列出了org.apache.hadoop.hbase.client.HTable#setWriteBufferSize ( ) 实例代码,或者点击链接到github查看源代码,也可以在右侧发表评论。
@Override
public void open(int taskNumber, int numTasks) throws IOException {
table = new HTable(conf, this.hbaseProperties.getTableName());
if (this.hbaseProperties.getBufferSize() > 0) {
table.setAutoFlushTo(false);
table.setWriteBufferSize(this.hbaseProperties.getBufferSize());
}
}
public static void put(String row, String column, String data)
throws Exception {
HTable table = new HTable(cfg, tableName);
table.setAutoFlush(false);
table.setWriteBufferSize(10 * 1024 * 1024);
Put p1 = new Put(Bytes.toBytes(row));
p1.add(Bytes.toBytes(familyName), Bytes.toBytes(column),
Bytes.toBytes(data));
table.put(p1);
System.out.println("put '" + row + "','" + familyName + ":" + column
+ "','" + data + "'");
}
public static void put(String row,String column,String data) throws Exception {
HTable table = new HTable(cfg, tableName);
table.setAutoFlush(false);
table.setWriteBufferSize(10*1024*1024);
Put p1=new Put(Bytes.toBytes(row));
p1.add(Bytes.toBytes(familyName), Bytes.toBytes(column), Bytes.toBytes(data));
table.put(p1);
System.out.println("put '"+row+"','"+familyName+":"+column+"','"+data+"'");
}
@Override
protected void setup(Context context) throws IOException,
InterruptedException {
super.setup(context);
conf = HBaseConfiguration.create(context.getConfiguration());
conf.set("hbase.zookeeper.quorum", "zk1.hadoop,zk2.hadoop,zk3.hadoop");
conf.set("hbase.zookeeper.property.clientPort", "2181");
htable = new HTable(conf, "micmiu");
htable.setAutoFlush(false);
htable.setWriteBufferSize(12 * 1024 * 1024);//12M
wal = true;
}
/**
* The MapReduce driver - setup and launch the job.
*
* @param args the command-line arguments
* @return the process exit code
* @throws Exception if something goes wrong
*/
public int run(final String[] args) throws Exception {
Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.InputFileOption.values()).build();
int result = cli.runCmd();
if (result != 0) {
return result;
}
File inputFile = new File(cli.getArgValueAsString(CliCommonOpts.InputFileOption.INPUT));
Configuration conf = HBaseConfiguration.create();
createTableAndColumn(conf, STOCKS_TABLE_NAME,
STOCK_DETAILS_COLUMN_FAMILY_AS_BYTES);
HTable htable = new HTable(conf, STOCKS_TABLE_NAME);
htable.setAutoFlush(false);
htable.setWriteBufferSize(1024 * 1024 * 12);
SpecificDatumWriter<Stock> writer =
new SpecificDatumWriter<Stock>();
writer.setSchema(Stock.SCHEMA$);
ByteArrayOutputStream bao = new ByteArrayOutputStream();
BinaryEncoder encoder =
EncoderFactory.get().directBinaryEncoder(bao, null);
for (Stock stock: AvroStockUtils.fromCsvFile(inputFile)) {
writer.write(stock, encoder);
encoder.flush();
byte[] rowkey = Bytes.add(
Bytes.toBytes(stock.getSymbol().toString()),
Bytes.toBytes(stock.getDate().toString()));
byte[] stockAsAvroBytes = bao.toByteArray();
Put put = new Put(rowkey);
put.add(STOCK_DETAILS_COLUMN_FAMILY_AS_BYTES,
STOCK_COLUMN_QUALIFIER_AS_BYTES,
stockAsAvroBytes);
htable.put(put);
bao.reset();
}
htable.flushCommits();
htable.close();
System.out.println("done");
return 0;
}