ElasticSearch中bulkProcesser使用

初次接触es，可能对增删改查很熟悉，以为能为得心应手，本次应用场景为 数据库变更一条记录，会触发更新es中的数据，每秒并发大概30条左右，测试环境一切工作正常（数据量较少），上线后发现日志中很多类似于下面的错误：

队列满了

org.elasticsearch.common.util.concurrent.EsRejectedExecutionException: rejected execution (queue capacity 200) on org.elasticsearch.search.action.SearchServiceTransportAction$23@5f804c60
    at org.elasticsearch.common.util.concurrent.EsAbortPolicy.rejectedExecution(EsAbortPolicy.java:62)
    at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821)
    at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372)
    at org.elasticsearch.search.action.SearchServiceTransportAction.execute(SearchServiceTransportAction.java:509)
    at org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteScan(SearchServiceTransportAction.java:441)
    at org.elasticsearch.action.search.type.TransportSearchScanAction$AsyncAction.sendExecuteFirstPhase(TransportSearchScanAction.java:68)
    at org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:171)
    at org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.start(TransportSearchTypeAction.java:153)
    at org.elasticsearch.action.search.type.TransportSearchScanAction.doExecute(TransportSearchScanAction.java:52)
    at org.elasticsearch.action.search.type.TransportSearchScanAction.doExecute(TransportSearchScanAction.java:42)
　　...

更新版本错误：

Caused by: org.elasticsearch.index.engine.VersionConflictEngineException: [kpi][4] [opportunity][1442415600000]: version conflict, current [5933], provided [5932]
        at org.elasticsearch.index.engine.internal.InternalEngine.innerIndex(InternalEngine.java:582) [elasticsearch-1.4.4.jar:]
        at org.elasticsearch.index.engine.internal.InternalEngine.index(InternalEngine.java:522) [elasticsearch-1.4.4.jar:]
        at org.elasticsearch.index.shard.service.InternalIndexShard.index(InternalIndexShard.java:425) [elasticsearch-1.4.4.jar:]
        at org.elasticsearch.action.index.TransportIndexAction.shardOperationOnPrimary(TransportIndexAction.java:193) [elasticsearch-1.4.4.jar:]

经过高手指点，从单次的实时操作改为批量操作，这样做的好处有，减少网路开销，从消息大小，时间，消息数量三个维度来衡量 批量操作的维度，如果数据不是要求非常实时的操作（非常实时的存储应该也不会选择es）,改为批量操作后，错误均修复，大概配置如下。

 private BulkProcessor bulkProcessor;

    @PostConstruct
    public void init() {
        this.bulkProcessor = BulkProcessor.builder(
                esTransportMainClient.getClient(),
                new BulkProcessor.Listener() {

                    @Override
                    public void beforeBulk(long executionId, BulkRequest request) {
                        logger.info("---尝试插入{}条数据---", request.numberOfActions());
                    }

                    @Override
                    public void afterBulk(long executionId,
                                          BulkRequest request, BulkResponse response) {
                        logger.info("---尝试插入{}条数据成功---", request.numberOfActions());
                    }

                    @Override
                    public void afterBulk(long executionId,
                                          BulkRequest request, Throwable failure) {
                        logger.error("[es错误]---尝试插入数据失败---", failure);
                    }

                })
                .setBulkActions(1000)
                .setBulkSize(new ByteSizeValue(5, ByteSizeUnit.MB))
                .setFlushInterval(TimeValue.timeValueSeconds(5))
                .setConcurrentRequests(2)
                .build();
    }

我这里全局保持一个bulkProcesser就可以维持正常业务了。

每次使用的方法：

bulkProcessor.add(updateRequestBuilder.request());

此processer的含义为如果消息数量到达1000 或者消息大小到大5M 或者时间达到5s 任意条件满足，客户端就会把当前的数据提交到服务端处理。效率很高。