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本篇文章為大家展示了hbase0.98.9中如何實現endpoints,內容簡明扼要并且容易理解,絕對能使你眼前一亮,通過這篇文章的詳細介紹希望你能有所收獲。
定制一個endpoint的過程。
下面是實現過程:
1、定義接口描述文件(該功能有protobuf提供出來)
option java_package = "coprocessor.endpoints.generated"; option java_outer_classname = "RowCounterEndpointProtos"; option java_generic_services = true; option java_generate_equals_and_hash = true; option optimize_for = SPEED; message CountRequest { } message CountResponse { required int64 count = 1 [default = 0]; } service RowCountService { rpc getRowCount(CountRequest) returns (CountResponse); rpc getKeyValueCount(CountRequest) returns (CountResponse); }
這個文件我直接拿的hbase提供的example中的例子。其中的語法應該有過類似經驗的一看就清楚了,實在不清楚就請查查protobuf的幫助手冊吧。
2、根據接口描述文件生成java接口類(該功能有protobuf提供出來)
有了接口描述文件,還需要生成java語言的接口類。這個需要借助protobuf提供的工具protoc。
$protoc --java_out=./ Examples.proto
簡單解釋下,protoc這個命令在你裝了protobuf后就有了。Examples.proto這個是文件名,也就是剛才編寫的那個接口描述文件。“--java_out”這個用來指定生成后的java類放的地方。
所以,這地方如果你沒有裝protobuf,你需要裝一個,window和linux版都有,多說一句,如果你去裝hadoop64位的編譯環境的話,應該是要裝protobuf。
3、實現接口
package coprocessor; import java.io.IOException; import java.util.ArrayList; import java.util.List; import org.apache.hadoop.hbase.Cell; import org.apache.hadoop.hbase.CellUtil; import org.apache.hadoop.hbase.Coprocessor; import org.apache.hadoop.hbase.CoprocessorEnvironment; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.coprocessor.CoprocessorException; import org.apache.hadoop.hbase.coprocessor.CoprocessorService; import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment; import org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter; import org.apache.hadoop.hbase.protobuf.ResponseConverter; import org.apache.hadoop.hbase.regionserver.InternalScanner; import org.apache.hadoop.hbase.util.Bytes; import com.google.protobuf.RpcCallback; import com.google.protobuf.RpcController; import com.google.protobuf.Service; import coprocessor.endpoints.generated.RowCounterEndpointProtos.CountRequest; import coprocessor.endpoints.generated.RowCounterEndpointProtos.CountResponse; import coprocessor.endpoints.generated.RowCounterEndpointProtos.RowCountService; public class RowCounterEndpointExample extends RowCountService implements Coprocessor, CoprocessorService { private RegionCoprocessorEnvironment env; public RowCounterEndpointExample() { } @Override public Service getService() { return this; } @Override public void getRowCount(RpcController controller, CountRequest request, RpcCallback<CountResponse> done) { Scan scan = new Scan(); scan.setFilter(new FirstKeyOnlyFilter()); CountResponse response = null; InternalScanner scanner = null; try { scanner = env.getRegion().getScanner(scan); List<Cell> results = new ArrayList<Cell>(); boolean hasMore = false; byte[] lastRow = null; long count = 0; do { hasMore = scanner.next(results); for (Cell kv : results) { byte[] currentRow = CellUtil.cloneRow(kv); if (lastRow == null || !Bytes.equals(lastRow, currentRow)) { lastRow = currentRow; count++; } } results.clear(); } while (hasMore); response = CountResponse.newBuilder().setCount(count).build(); } catch (IOException ioe) { ResponseConverter.setControllerException(controller, ioe); } finally { if (scanner != null) { try { scanner.close(); } catch (IOException ignored) { } } } done.run(response); } @Override public void getKeyValueCount(RpcController controller, CountRequest request, RpcCallback<CountResponse> done) { CountResponse response = null; InternalScanner scanner = null; try { scanner = env.getRegion().getScanner(new Scan()); List<Cell> results = new ArrayList<Cell>(); boolean hasMore = false; long count = 0; do { hasMore = scanner.next(results); for (Cell kv : results) { count++; } results.clear(); } while (hasMore); response = CountResponse.newBuilder().setCount(count).build(); } catch (IOException ioe) { ResponseConverter.setControllerException(controller, ioe); } finally { if (scanner != null) { try { scanner.close(); } catch (IOException ignored) { } } } done.run(response); } @Override public void start(CoprocessorEnvironment env) throws IOException { if (env instanceof RegionCoprocessorEnvironment) { this.env = (RegionCoprocessorEnvironment) env; } else { throw new CoprocessorException("Must be loaded on a table region!"); } } @Override public void stop(CoprocessorEnvironment env) throws IOException { // TODO Auto-generated method stub } }
4、注冊接口(Hbase功能,通過配置文件或者表模式方式注冊)
這部分,可以看hbase權威指南了,我就看這部分做的。
5、測試調用
package coprocessor; import java.io.IOException; import java.util.Map; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.coprocessor.Batch; import org.apache.hadoop.hbase.ipc.BlockingRpcCallback; import org.apache.hadoop.hbase.ipc.ServerRpcController; import org.apache.hadoop.hbase.util.Bytes; import com.google.protobuf.ServiceException; import coprocessor.endpoints.generated.RowCounterEndpointProtos.CountRequest; import coprocessor.endpoints.generated.RowCounterEndpointProtos.CountResponse; import coprocessor.endpoints.generated.RowCounterEndpointProtos.RowCountService; import util.HBaseHelper; public class RowCounterEndpointClientExample { public static void main(String[] args) throws ServiceException, Throwable { Configuration conf = HBaseConfiguration.create(); HBaseHelper helper = HBaseHelper.getHelper(conf); //helper.dropTable("testtable"); //helper.createTable("testtable", "colfam1", "colfam2"); System.out.println("Adding rows to table..."); helper.fillTable("testtable", 1, 10, 10, "colfam1", "colfam2"); HTable table = new HTable(conf, "testtable"); final CountRequest request = CountRequest.getDefaultInstance(); final Batch.Call<RowCountService, Long> call =new Batch.Call<RowCountService, Long>() { public Long call(RowCountService counter) throws IOException { ServerRpcController controller = new ServerRpcController(); BlockingRpcCallback<CountResponse> rpcCallback = new BlockingRpcCallback<CountResponse>(); counter.getRowCount(controller, request, rpcCallback); CountResponse response = rpcCallback.get(); if (controller.failedOnException()) { throw controller.getFailedOn(); } return (response != null && response.hasCount()) ? response .getCount() : 0; } }; Map<byte[], Long> results = table.coprocessorService( RowCountService.class, null, null, call); for(byte[] b : results.keySet()){ System.err.println(Bytes.toString(b) + ":" + results.get(b)); } } }
上述內容就是hbase0.98.9中如何實現endpoints,你們學到知識或技能了嗎?如果還想學到更多技能或者豐富自己的知識儲備,歡迎關注億速云行業資訊頻道。
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