亿级消息系统的核心存储：Tablestore发布Timeline 2.0模型

<dependency>
    <groupId>com.aliyun.openservices.tablestore</groupId>
    <artifactId>Timeline</artifactId>
    <version>2.0.0</version>
</dependency>

<dependency>
  <groupId>com.aliyun.openservices</groupId>
  <artifactId>tablestore</artifactId>
  <version>4.12.1</version>
</dependency>

/**
 * 重试策略设置
 * Code: configuration.setRetryStrategy(new DefaultRetryStrategy());
 * */
ClientConfiguration configuration = new ClientConfiguration();

SyncClient client = new SyncClient(
        "http://instanceName.cn-shanghai.ots.aliyuncs.com",
        "accessKeyId",
        "accessKeySecret",
        "instanceName", configuration);

TimelineStoreFactory factory = new TimelineStoreFactoryImpl(client);

TimelineIdentifierSchema idSchema = new TimelineIdentifierSchema.Builder()
        .addStringField("timeline_id").build();

IndexSchema metaIndex = new IndexSchema();
metaIndex.addFieldSchema( //配置索引字段、类型
        new FieldSchema("group_name", FieldType.TEXT).setIndex(true).setAnalyzer(FieldSchema.Analyzer.MaxWord)
        new FieldSchema("create_time", FieldType.Long).setIndex(true)
);

TimelineMetaSchema metaSchema = new TimelineMetaSchema("groupMeta", idSchema)
        .withIndex("metaIndex", metaIndex); //设置索引

TimelineMetaStore timelineMetaStore = serviceFactory.createMetaStore(metaSchema);

TimelineIdentifierSchema idSchema = new TimelineIdentifierSchema.Builder()
        .addStringField("timeline_id").build();

IndexSchema timelineIndex = new IndexSchema();
timelineIndex.setFieldSchemas(Arrays.asList(//配置索引的字段、类型
        new FieldSchema("text", FieldType.TEXT).setIndex(true).setAnalyzer(FieldSchema.Analyzer.MaxWord),
        new FieldSchema("receivers", FieldType.KEYWORD).setIndex(true).setIsArray(true)
));

TimelineSchema timelineSchema = new TimelineSchema("timeline", idSchema)
        .autoGenerateSeqId() //SequenceId 设置为自增列方式
        .setCallbackExecuteThreads(5) //设置Writer初始线程数为5
        .withIndex("metaIndex", timelineIndex); //设置索引

TimelineStore timelineStore = serviceFactory.createTimelineStore(timelineSchema);

/**
 * 接口使用参数
 * */
TimelineIdentifier identifier = new TimelineIdentifier.Builder()
        .addField("timeline_id", "group")
        .build();
TimelineMeta meta = new TimelineMeta(identifier)
        .setField("filedName", "fieldValue");

/**
 * 创建Meta表（如果设置索引则会创建索引）
 * */
timelineMetaStore.prepareTables();

/**
 * 插入Meta数据
 * */
timelineMetaStore.insert(meta);

/**
 * 根据id读取单行Meta数据
 * */
timelineMetaStore.read(identifier);

/**
 * 更新Meta数据
 * */
meta.setField("fieldName", "newValue");
timelineMetaStore.update(meta);

/**
 * 根据id删除单行Meta数据
 * */
timelineMetaStore.delete(identifier);

/**
 * 通过SearchParameter参数检索
 * */
SearchParameter parameter = new SearchParameter(
        field("fieldName").equals("fieldValue")
);
timelineMetaStore.search(parameter);

/**
 * 通过SearchQuery参数检索（SearchQuery是SDK原生类型，支持所有多元索引检索条件）
 * */
TermQuery query = new TermQuery();
query.setFieldName("fieldName");
query.setTerm(ColumnValue.fromString("fieldValue"));

SearchQuery searchQuery = new SearchQuery().setQuery(query);
timelineMetaStore.search(searchQuery);

/**
 * 删除Meta表（如果存在索引，同时删除索引）
 * */
timelineMetaStore.dropAllTables();

/**
 * 接口使用参数
 * */
SearchParameter searchParameter = new SearchParameter(
        field("text").equals("fieldValue")
);

TermQuery query = new TermQuery();
query.setFieldName("text");
query.setTerm(ColumnValue.fromString("fieldValue"));
SearchQuery searchQuery = new SearchQuery().setQuery(query).setLimit(10);

/**
 * 创建Meta表（如果设置索引则会创建索引）
 * */
timelineStore.prepareTables();

/**
 * 通过SearchParameter参数检索
 * */
timelineStore.search(searchParameter);

/**
 * 通过SearchQuery参数检索（SearchQuery是SDK原生类型，支持所有多元索引检索条件）
 * */

timelineStore.search(searchQuery);

/**
 * 将Writer队列中未发的请求主动触发，同步等待直到所有消息完成存储
 * */
timelineStore.flush();

/**
 * 关闭Writer与Writer中的线程池
 * */
timelineStore.close();

/**
 * 删除Timeline表（如果存在索引，同时删除索引）
 * */
timelineStore.dropAllTables();

/**
 * 接口使用参数
 * */
TimelineIdentifier identifier = new TimelineIdentifier.Builder()
        .addField("timeline_id", "group")
        .build();
long sequenceId = 1557133858994L;
TimelineMessage message = new TimelineMessage().setField("text", "Timeline is fine.");
ScanParameter scanParameter = new ScanParameter().scanBackward(Long.MAX_VALUE, 0);
TimelineCallback callback = new TimelineCallback() {
    @Override
    public void onCompleted(TimelineIdentifier i, TimelineMessage m, TimelineEntry t) {
        // do something when succeed.
    }

    @Override
    public void onFailed(TimelineIdentifier i, TimelineMessage m, Exception e) {
        // do something when failed.
    }
};

/**
 * 单个Identifier对应的消息队列
 * */
timelineQueue = timelineStore.createTimelineQueue(identifier);

/**
 * 存储消息
 * */
//同步
timelineQueue.store(message);
timelineQueue.store(sequenceId, message);
//异步，支持callback
timelineQueue.storeAsync(message, callback);
timelineQueue.storeAsync(sequenceId, message, callback);
//异步批量
timelineQueue.batchStore(message);
timelineQueue.batchStore(sequenceId, message);
//异步批量，支持callback
timelineQueue.batchStore(message, callback);
timelineQueue.batchStore(sequenceId, message, callback);

/**
 * 单行读取、获取最新一行、获取最新SequenceId
 * */
timelineQueue.get(sequenceId);
timelineQueue.getLatestTimelineEntry();
timelineQueue.getLatestSequenceId();

/**
 * 根据SequenceId更新消息
 * */
message.setField("text", "newValue");
timelineQueue.update(sequenceId, message);
timelineQueue.updateAsync(sequenceId, message, callback);

/**
 * 根据SequenceId删除消息
 * */
timelineQueue.delete(sequenceId);

/**
 * 根据范围参数、Filter获取批量消息
 * */
timelineQueue.scan(scanParameter);