Elasitcsearch High Level Rest Client学习笔记（三）批量api

最新推荐文章于 2024-11-16 20:33:00 发布

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最新推荐文章于 2024-11-16 20:33:00 发布

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文章标签： json 大数据

原文链接：https://my.oschina.net/muziH/blog/1859001

本文介绍了Elasticsearch中批量操作的方法，包括使用BulkRequest进行批量添加、更新和删除文档的具体步骤，以及如何设置超时时间和刷新策略等高级功能。同时，还详细解释了BulkProcessor的构建和使用方法。

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Bulk Request

BulkRequest可以在一起从请求执行批量添加、更新和删除，至少需要添加一个操作

BulkRequest request = new BulkRequest(); //创建BulkRequest
request.add(new IndexRequest("posts", "doc", "1")  //添加操作
        .source(XContentType.JSON,"field", "foo"));
request.add(new IndexRequest("posts", "doc", "2")  //添加操作
        .source(XContentType.JSON,"field", "bar"));
request.add(new IndexRequest("posts", "doc", "3")  //添加操作
        .source(XContentType.JSON,"field", "baz"));

注意：每次只支持一种encoded，否则会报错

可以在同一个BulkRequest中添加不同类型操作

BulkRequest request = new BulkRequest();
request.add(new DeleteRequest("posts", "doc", "3")); 
request.add(new UpdateRequest("posts", "doc", "2") 
        .doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("posts", "doc", "4")  
        .source(XContentType.JSON,"field", "baz"));

可选参数

超时时间设置

request.timeout(TimeValue.timeValueMinutes(2)); 
request.timeout("2m");

刷新策略

request.setRefreshPolicy(WriteRequest.RefreshPolicy.WAIT_UNTIL); 
request.setRefreshPolicy("wait_for");

设置副本shard活跃验证，执行index、update、delete操作前必须有多少个副本shard活跃

request.waitForActiveShards(2); 
request.waitForActiveShards(ActiveShardCount.ALL);

调用方式

同步

BulkResponse bulkResponse = client.bulk(request);

异步

client.bulkAsync(request, new ActionListener<BulkResponse>() {
    @Override
    public void onResponse(BulkResponse bulkResponse) {
        //成功
    }

    @Override
    public void onFailure(Exception e) {
        //失败
    }
});

响应对象

响应对象包括操作信息，并且可以便利每一个结果

for (BulkItemResponse bulkItemResponse : bulkResponse) { 
    DocWriteResponse itemResponse = bulkItemResponse.getResponse(); 

    if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
            || bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {     //index操作
        IndexResponse indexResponse = (IndexResponse) itemResponse;

    } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {     //update操作
        UpdateResponse updateResponse = (UpdateResponse) itemResponse;

    } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {     //delete操作
        DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
    }
}

BulkResponce提供方法快速查看操作是否失败

if (bulkResponse.hasFailures()) { 
    //todo
}

BulkProcessor

RestHighLevelClient:执行BulkRequest并且返回BulkResponse

BulkProcessor.Listener:在bulk请求前后执行，并且可以处理失败情况

BulkProcessor.Listener listener = new BulkProcessor.Listener() { 
    @Override
    public void beforeBulk(long executionId, BulkRequest request) {
        //bulk请求前执行
    }

    @Override
    public void afterBulk(long executionId, BulkRequest request, BulkResponse response) {
        //bulk请求后执行
    }

    @Override
    public void afterBulk(long executionId, BulkRequest request, Throwable failure) {
        //失败后执行
    }
};

BulkProcessor bulkProcessor = BulkProcessor.builder(client::bulkAsync, listener).build();  //BulkProcessor通过 BulkProcessor.Builder build()方法构建， RestHighLevelClient.bulkAsync() 用来执行bulk请求

BulkProcessor.Builder提供方法使BulkProcessor调整请求参数

BulkProcessor.Builder builder = BulkProcessor.builder(client::bulkAsync, listener);
builder.setBulkActions(500); //按照数量批量处理（默认1000，-1禁用） 
builder.setBulkSize(new ByteSizeValue(1L, ByteSizeUnit.MB)); //按照大小批量处理
builder.setConcurrentRequests(0); //并发处理线程
builder.setFlushInterval(TimeValue.timeValueSeconds(10L)); //设置flush索引周期
builder.setBackoffPolicy(BackoffPolicy.constantBackoff(TimeValue.timeValueSeconds(1L), 3)); //回退策略，等待1秒并重试3次， BackoffPolicy.noBackoff()  BackoffPolicy.constantBackoff()  BackoffPolicy.exponentialBackoff()  查看更多选项

添加请求

IndexRequest one = new IndexRequest("posts", "doc", "1").
        source(XContentType.JSON, "title", "In which order are my Elasticsearch queries executed?");
IndexRequest two = new IndexRequest("posts", "doc", "2")
        .source(XContentType.JSON, "title", "Current status and upcoming changes in Elasticsearch");
IndexRequest three = new IndexRequest("posts", "doc", "3")
        .source(XContentType.JSON, "title", "The Future of Federated Search in Elasticsearch");

bulkProcessor.add(one);
bulkProcessor.add(two);
bulkProcessor.add(three);

BulkProcessor通过 BulkProcessor.Listener 监控请求， BulkProcessor.Listener 提供方法接受BulkRequest和BulkResponse

BulkProcessor.Listener listener = new BulkProcessor.Listener() {
    @Override
    public void beforeBulk(long executionId, BulkRequest request) {
        int numberOfActions = request.numberOfActions(); //在每个execution前执行，可以获知每次执行多少个操作
        logger.debug("Executing bulk [{}] with {} requests", executionId, numberOfActions);
    }

    @Override
    public void afterBulk(long executionId, BulkRequest request, BulkResponse response) {
        if (response.hasFailures()) {  //在每个execution后执行，可以获知是否包含错误
            logger.warn("Bulk [{}] executed with failures", executionId);
        } else {
            logger.debug("Bulk [{}] completed in {} milliseconds", executionId, response.getTook().getMillis());
        }
    }

    @Override
    public void afterBulk(long executionId, BulkRequest request, Throwable failure) {
        logger.error("Failed to execute bulk", failure); //发生错误时执行
    }
};

批量请求执行后需要关闭BulkProcessor。两种关闭方式选其一

awaitClose()，所有请求被处理后或者等待时间结束后关闭，返回ture表明所有请求已经完成，false说明等待时间结束后请求并未执行结束

boolean terminated = bulkProcessor.awaitClose(30L, TimeUnit.SECONDS);

close()，立即关闭BulkProcessor

bulkProcessor.close();

关闭processor之前，所有已经被添加的请求会被提交执行，并且不能再向其中添加请求

转载于:https://my.oschina.net/muziH/blog/1859001