Package org.apache.kafka.common

Examples of org.apache.kafka.common.TopicPartition

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            Struct topicResponse = (Struct) topicResponseObj;
            String topic = topicResponse.getString(TOPIC_KEY_NAME);
            for (Object partitionResponseObj : topicResponse.getArray(PARTITIONS_KEY_NAME)) {
                Struct partitionResponse = (Struct) partitionResponseObj;
                int partition = partitionResponse.getInt(PARTITION_KEY_NAME);
                partitions.add(new TopicPartition(topic, partition));
            }
        }
        groupId = struct.getString(GROUP_ID_KEY_NAME);
   }
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        Map<TopicPartition, RecordBatch> batches = (Map<TopicPartition, RecordBatch>) response.request().attachment();
        // if we have a response, parse it
        if (response.hasResponse()) {
            ProduceResponse produceResponse = new ProduceResponse(response.responseBody());
            for (Map.Entry<TopicPartition, ProduceResponse.PartitionResponse> entry : produceResponse.responses().entrySet()) {
                TopicPartition tp = entry.getKey();
                ProduceResponse.PartitionResponse partResp = entry.getValue();
                Errors error = Errors.forCode(partResp.errorCode);
                RecordBatch batch = batches.get(tp);
                completeBatch(batch, error, partResp.baseOffset, correlationId, now);
            }
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     */
    private ClientRequest produceRequest(long now, int destination, short acks, int timeout, List<RecordBatch> batches) {
        Map<TopicPartition, ByteBuffer> produceRecordsByPartition = new HashMap<TopicPartition, ByteBuffer>(batches.size());
        Map<TopicPartition, RecordBatch> recordsByPartition = new HashMap<TopicPartition, RecordBatch>(batches.size());
        for (RecordBatch batch : batches) {
            TopicPartition tp = batch.topicPartition;
            ByteBuffer recordsBuffer = batch.records.buffer();
            recordsBuffer.flip();
            produceRecordsByPartition.put(tp, recordsBuffer);
            recordsByPartition.put(tp, batch);
        }
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                Struct partitionResponse = (Struct) partitionResponseObj;
                int partition = partitionResponse.getInt(PARTITION_KEY_NAME);
                long offset = partitionResponse.getLong(FETCH_OFFSET_KEY_NAME);
                int maxBytes = partitionResponse.getInt(MAX_BYTES_KEY_NAME);
                PartitionData partitionData = new PartitionData(offset, maxBytes);
                fetchData.put(new TopicPartition(topic, partition), partitionData);
            }
        }
    }
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        long nextReadyCheckDelayMs = Long.MAX_VALUE;
        boolean unknownLeadersExist = false;

        boolean exhausted = this.free.queued() > 0;
        for (Map.Entry<TopicPartition, Deque<RecordBatch>> entry : this.batches.entrySet()) {
            TopicPartition part = entry.getKey();
            Deque<RecordBatch> deque = entry.getValue();

            Node leader = cluster.leaderFor(part);
            if (leader == null) {
                unknownLeadersExist = true;
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            List<RecordBatch> ready = new ArrayList<RecordBatch>();
            /* to make starvation less likely this loop doesn't start at 0 */
            int start = drainIndex = drainIndex % parts.size();
            do {
                PartitionInfo part = parts.get(drainIndex);
                Deque<RecordBatch> deque = dequeFor(new TopicPartition(part.topic(), part.partition()));
                if (deque != null) {
                    synchronized (deque) {
                        RecordBatch first = deque.peekFirst();
                        if (first != null) {
                            if (size + first.records.sizeInBytes() > maxSize && !ready.isEmpty()) {
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                Struct partitionResponse = (Struct) partitionResponseObj;
                int partition = partitionResponse.getInt(PARTITION_KEY_NAME);
                long timestamp = partitionResponse.getLong(TIMESTAMP_KEY_NAME);
                int maxNumOffsets = partitionResponse.getInt(MAX_NUM_OFFSETS_KEY_NAME);
                PartitionData partitionData = new PartitionData(timestamp, maxNumOffsets);
                offsetData.put(new TopicPartition(topic, partition), partitionData);
            }
        }
    }
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            for (Object partResponse : topicRespStruct.getArray("partition_responses")) {
                Struct partRespStruct = (Struct) partResponse;
                int partition = partRespStruct.getInt("partition");
                short errorCode = partRespStruct.getShort("error_code");
                long offset = partRespStruct.getLong("base_offset");
                TopicPartition tp = new TopicPartition(topic, partition);
                responses.put(tp, new PartitionResponse(errorCode, offset));
            }
        }
    }
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            // first make sure the metadata for the topic is available
            waitOnMetadata(record.topic(), this.metadataFetchTimeoutMs);
            int partition = partitioner.partition(record, metadata.fetch());
            int serializedSize = Records.LOG_OVERHEAD + Record.recordSize(record.key(), record.value());
            ensureValidRecordSize(serializedSize);
            TopicPartition tp = new TopicPartition(record.topic(), partition);
            log.trace("Sending record {} with callback {} to topic {} partition {}", record, callback, record.topic(), partition);
            RecordAccumulator.RecordAppendResult result = accumulator.append(tp, record.key(), record.value(), compressionType, callback);
            if (result.batchIsFull || result.newBatchCreated) {
                log.trace("Waking up the sender since topic {} partition {} is either full or getting a new batch", record.topic(), partition);
                this.sender.wakeup();
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                int partition = partitionResponse.getInt(PARTITION_KEY_NAME);
                long offset = partitionResponse.getLong(COMMIT_OFFSET_KEY_NAME);
                String metadata = partitionResponse.getString(METADATA_KEY_NAME);
                short errorCode = partitionResponse.getShort(ERROR_CODE_KEY_NAME);
                PartitionData partitionData = new PartitionData(offset, metadata, errorCode);
                responseData.put(new TopicPartition(topic, partition), partitionData);
            }
        }
    }
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Related Classes of org.apache.kafka.common.TopicPartition

  • org.apache.kafka.clients.consumer.ConsumerRecord
  • org.apache.kafka.clients.consumer.MockConsumer
  • org.apache.kafka.clients.producer.internals.RecordAccumulator
  • org.apache.kafka.clients.producer.internals.Sender
  • org.apache.kafka.clients.producer.KafkaProducer
  • org.apache.kafka.clients.producer.MockProducer
  • org.apache.kafka.clients.producer.RecordAccumulatorTest
  • org.apache.kafka.common.requests.FetchRequest
  • org.apache.kafka.common.requests.FetchResponse
  • org.apache.kafka.common.requests.JoinGroupResponse
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