use of org.apache.hadoop.hbase.protobuf.generated.AggregateProtos.AggregateResponse in project hbase by apache.
the class AsyncAggregationClient method rowCount.
public static <R, S, P extends Message, Q extends Message, T extends Message> CompletableFuture<Long> rowCount(RawAsyncTable table, ColumnInterpreter<R, S, P, Q, T> ci, Scan scan) {
CompletableFuture<Long> future = new CompletableFuture<>();
AggregateRequest req;
try {
req = validateArgAndGetPB(scan, ci, true);
} catch (IOException e) {
future.completeExceptionally(e);
return future;
}
AbstractAggregationCallback<Long> callback = new AbstractAggregationCallback<Long>(future) {
private long count;
@Override
protected void aggregate(HRegionInfo region, AggregateResponse resp) throws IOException {
count += resp.getFirstPart(0).asReadOnlyByteBuffer().getLong();
}
@Override
protected Long getFinalResult() {
return count;
}
};
table.coprocessorService(channel -> AggregateService.newStub(channel), (stub, controller, rpcCallback) -> stub.getRowNum(controller, req, rpcCallback), scan.getStartRow(), scan.includeStartRow(), scan.getStopRow(), scan.includeStopRow(), callback);
return future;
}
use of org.apache.hadoop.hbase.protobuf.generated.AggregateProtos.AggregateResponse in project hbase by apache.
the class AsyncAggregationClient method sum.
public static <R, S, P extends Message, Q extends Message, T extends Message> CompletableFuture<S> sum(RawAsyncTable table, ColumnInterpreter<R, S, P, Q, T> ci, Scan scan) {
CompletableFuture<S> future = new CompletableFuture<>();
AggregateRequest req;
try {
req = validateArgAndGetPB(scan, ci, false);
} catch (IOException e) {
future.completeExceptionally(e);
return future;
}
AbstractAggregationCallback<S> callback = new AbstractAggregationCallback<S>(future) {
private S sum;
@Override
protected void aggregate(HRegionInfo region, AggregateResponse resp) throws IOException {
if (resp.getFirstPartCount() > 0) {
S s = getPromotedValueFromProto(ci, resp, 0);
sum = ci.add(sum, s);
}
}
@Override
protected S getFinalResult() {
return sum;
}
};
table.coprocessorService(channel -> AggregateService.newStub(channel), (stub, controller, rpcCallback) -> stub.getSum(controller, req, rpcCallback), scan.getStartRow(), scan.includeStartRow(), scan.getStopRow(), scan.includeStopRow(), callback);
return future;
}
use of org.apache.hadoop.hbase.protobuf.generated.AggregateProtos.AggregateResponse in project hbase by apache.
the class AggregateImplementation method getAvg.
/**
* Gives a Pair with first object as Sum and second object as row count,
* computed for a given combination of column qualifier and column family in
* the given row range as defined in the Scan object. In its current
* implementation, it takes one column family and one column qualifier (if
* provided). In case of null column qualifier, an aggregate sum over all the
* entire column family will be returned.
* <p>
* The average is computed in
* AggregationClient#avg(byte[], ColumnInterpreter, Scan) by
* processing results from all regions, so its "ok" to pass sum and a Long
* type.
*/
@Override
public void getAvg(RpcController controller, AggregateRequest request, RpcCallback<AggregateResponse> done) {
AggregateResponse response = null;
InternalScanner scanner = null;
try {
ColumnInterpreter<T, S, P, Q, R> ci = constructColumnInterpreterFromRequest(request);
S sumVal = null;
Long rowCountVal = 0l;
Scan scan = ProtobufUtil.toScan(request.getScan());
scanner = env.getRegion().getScanner(scan);
byte[] colFamily = scan.getFamilies()[0];
NavigableSet<byte[]> qualifiers = scan.getFamilyMap().get(colFamily);
byte[] qualifier = null;
if (qualifiers != null && !qualifiers.isEmpty()) {
qualifier = qualifiers.pollFirst();
}
List<Cell> results = new ArrayList<>();
boolean hasMoreRows = false;
do {
results.clear();
hasMoreRows = scanner.next(results);
int listSize = results.size();
for (int i = 0; i < listSize; i++) {
sumVal = ci.add(sumVal, ci.castToReturnType(ci.getValue(colFamily, qualifier, results.get(i))));
}
rowCountVal++;
} while (hasMoreRows);
if (sumVal != null) {
ByteString first = ci.getProtoForPromotedType(sumVal).toByteString();
AggregateResponse.Builder pair = AggregateResponse.newBuilder();
pair.addFirstPart(first);
ByteBuffer bb = ByteBuffer.allocate(8).putLong(rowCountVal);
bb.rewind();
pair.setSecondPart(ByteString.copyFrom(bb));
response = pair.build();
}
} catch (IOException e) {
CoprocessorRpcUtils.setControllerException(controller, e);
} finally {
if (scanner != null) {
try {
scanner.close();
} catch (IOException ignored) {
}
}
}
done.run(response);
}
use of org.apache.hadoop.hbase.protobuf.generated.AggregateProtos.AggregateResponse in project hbase by apache.
the class AggregateImplementation method getSum.
/**
* Gives the sum for a given combination of column qualifier and column
* family, in the given row range as defined in the Scan object. In its
* current implementation, it takes one column family and one column qualifier
* (if provided). In case of null column qualifier, sum for the entire column
* family will be returned.
*/
@Override
public void getSum(RpcController controller, AggregateRequest request, RpcCallback<AggregateResponse> done) {
AggregateResponse response = null;
InternalScanner scanner = null;
long sum = 0l;
try {
ColumnInterpreter<T, S, P, Q, R> ci = constructColumnInterpreterFromRequest(request);
S sumVal = null;
T temp;
Scan scan = ProtobufUtil.toScan(request.getScan());
scanner = env.getRegion().getScanner(scan);
byte[] colFamily = scan.getFamilies()[0];
NavigableSet<byte[]> qualifiers = scan.getFamilyMap().get(colFamily);
byte[] qualifier = null;
if (qualifiers != null && !qualifiers.isEmpty()) {
qualifier = qualifiers.pollFirst();
}
List<Cell> results = new ArrayList<>();
boolean hasMoreRows = false;
do {
hasMoreRows = scanner.next(results);
int listSize = results.size();
for (int i = 0; i < listSize; i++) {
temp = ci.getValue(colFamily, qualifier, results.get(i));
if (temp != null)
sumVal = ci.add(sumVal, ci.castToReturnType(temp));
}
results.clear();
} while (hasMoreRows);
if (sumVal != null) {
response = AggregateResponse.newBuilder().addFirstPart(ci.getProtoForPromotedType(sumVal).toByteString()).build();
}
} catch (IOException e) {
CoprocessorRpcUtils.setControllerException(controller, e);
} finally {
if (scanner != null) {
try {
scanner.close();
} catch (IOException ignored) {
}
}
}
log.debug("Sum from this region is " + env.getRegion().getRegionInfo().getRegionNameAsString() + ": " + sum);
done.run(response);
}
use of org.apache.hadoop.hbase.protobuf.generated.AggregateProtos.AggregateResponse in project hbase by apache.
the class AggregateImplementation method getStd.
/**
* Gives a Pair with first object a List containing Sum and sum of squares,
* and the second object as row count. It is computed for a given combination of
* column qualifier and column family in the given row range as defined in the
* Scan object. In its current implementation, it takes one column family and
* one column qualifier (if provided). The idea is get the value of variance first:
* the average of the squares less the square of the average a standard
* deviation is square root of variance.
*/
@Override
public void getStd(RpcController controller, AggregateRequest request, RpcCallback<AggregateResponse> done) {
InternalScanner scanner = null;
AggregateResponse response = null;
try {
ColumnInterpreter<T, S, P, Q, R> ci = constructColumnInterpreterFromRequest(request);
S sumVal = null, sumSqVal = null, tempVal = null;
long rowCountVal = 0l;
Scan scan = ProtobufUtil.toScan(request.getScan());
scanner = env.getRegion().getScanner(scan);
byte[] colFamily = scan.getFamilies()[0];
NavigableSet<byte[]> qualifiers = scan.getFamilyMap().get(colFamily);
byte[] qualifier = null;
if (qualifiers != null && !qualifiers.isEmpty()) {
qualifier = qualifiers.pollFirst();
}
List<Cell> results = new ArrayList<>();
boolean hasMoreRows = false;
do {
tempVal = null;
hasMoreRows = scanner.next(results);
int listSize = results.size();
for (int i = 0; i < listSize; i++) {
tempVal = ci.add(tempVal, ci.castToReturnType(ci.getValue(colFamily, qualifier, results.get(i))));
}
results.clear();
sumVal = ci.add(sumVal, tempVal);
sumSqVal = ci.add(sumSqVal, ci.multiply(tempVal, tempVal));
rowCountVal++;
} while (hasMoreRows);
if (sumVal != null) {
ByteString first_sumVal = ci.getProtoForPromotedType(sumVal).toByteString();
ByteString first_sumSqVal = ci.getProtoForPromotedType(sumSqVal).toByteString();
AggregateResponse.Builder pair = AggregateResponse.newBuilder();
pair.addFirstPart(first_sumVal);
pair.addFirstPart(first_sumSqVal);
ByteBuffer bb = ByteBuffer.allocate(8).putLong(rowCountVal);
bb.rewind();
pair.setSecondPart(ByteString.copyFrom(bb));
response = pair.build();
}
} catch (IOException e) {
CoprocessorRpcUtils.setControllerException(controller, e);
} finally {
if (scanner != null) {
try {
scanner.close();
} catch (IOException ignored) {
}
}
}
done.run(response);
}
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