Examples with BatchObject com.alibaba.otter.shared.etl.model.BatchObject used on opensource projects

Example 1 with BatchObject

use of com.alibaba.otter.shared.etl.model.BatchObject in project otter by alibaba.

the class OtterTransformerTest method test_rowData_mysql_oracle.

@Test
public void test_rowData_mysql_oracle() {
    final Pipeline pipeline = new Pipeline();
    pipeline.setId(100L);
    List<DataMediaPair> pairs = new ArrayList<DataMediaPair>();
    DataMediaPair pair1 = new DataMediaPair();
    pair1.setId(1L);
    pair1.setPipelineId(pipeline.getId());
    pair1.setPullWeight(1L);
    pair1.setPushWeight(1L);
    DbDataMedia mysqlMedia = getMysqlMedia();
    mysqlMedia.setId(1L);
    pair1.setSource(mysqlMedia);
    DbDataMedia oracleMedia = getOracleMedia();
    pair1.setTarget(oracleMedia);
    pairs.add(pair1);
    pipeline.setPairs(pairs);
    PipelineParameter param = new PipelineParameter();
    param.setSyncMode(SyncMode.ROW);
    pipeline.setParameters(param);
    new NonStrictExpectations() {

        {
            configClientService.findPipeline(anyLong);
            returns(pipeline);
        }
    };
    Identity identity = new Identity();
    identity.setChannelId(100L);
    identity.setPipelineId(100L);
    identity.setProcessId(100L);
    RowBatch rowBatch = new RowBatch();
    rowBatch.setIdentity(identity);
    EventData eventData = new EventData();
    eventData.setTableId(1L);
    eventData.setSchemaName("srf");
    eventData.setTableName("columns");
    eventData.setEventType(EventType.UPDATE);
    eventData.setExecuteTime(100L);
    eventData.getKeys().add(buildColumn("id", Types.INTEGER, "1", true, false));
    eventData.getKeys().add(buildColumn("name", Types.VARCHAR, "ljh", true, false));
    eventData.getColumns().add(buildColumn("alias_name", Types.CHAR, "hello", false, false));
    eventData.getColumns().add(buildColumn("amount", Types.DECIMAL, "100.01", false, false));
    eventData.getColumns().add(buildColumn("text_b", Types.BLOB, "[116,101,120,116,95,98]", false, false));
    eventData.getColumns().add(buildColumn("text_c", Types.CLOB, "text_c", false, false));
    eventData.getColumns().add(buildColumn("curr_date", Types.DATE, "2011-01-01", false, false));
    eventData.getColumns().add(buildColumn("gmt_create", Types.TIMESTAMP, "2011-01-01 11:11:11", false, false));
    eventData.getColumns().add(buildColumn("gmt_modify", Types.TIMESTAMP, "2011-01-01 11:11:11", false, false));
    rowBatch.merge(eventData);
    Map<Class, BatchObject> batchs = otterTransformFactory.transform(rowBatch);
    RowBatch result = (RowBatch) batchs.get(EventData.class);
    want.number(result.getDatas().size()).isEqualTo(1);
}

Example 2 with BatchObject

use of com.alibaba.otter.shared.etl.model.BatchObject in project otter by alibaba.

the class OtterTransformerTest method test_fileData.

@Test
public void test_fileData() {
    final Pipeline pipeline = new Pipeline();
    pipeline.setId(100L);
    List<DataMediaPair> pairs = new ArrayList<DataMediaPair>();
    DataMediaPair pair1 = new DataMediaPair();
    pair1.setId(1L);
    pair1.setPipelineId(pipeline.getId());
    pair1.setPullWeight(1L);
    pair1.setPushWeight(1L);
    DbDataMedia oracleMedia = getOracleMedia();
    oracleMedia.setId(1L);
    pair1.setSource(oracleMedia);
    DbDataMedia mysqlMedia = getMysqlMedia();
    pair1.setTarget(mysqlMedia);
    pairs.add(pair1);
    pipeline.setPairs(pairs);
    new NonStrictExpectations() {

        {
            configClientService.findPipeline(anyLong);
            returns(pipeline);
        }
    };
    Identity identity = new Identity();
    identity.setChannelId(100L);
    identity.setPipelineId(100L);
    identity.setProcessId(100L);
    FileBatch fileBatch = new FileBatch();
    fileBatch.setIdentity(identity);
    File localFile = new File("/tmp", "httpPipeTest.jpg");
    FileData localFileData = new FileData();
    localFileData.setTableId(1L);
    localFileData.setPairId(1L);
    localFileData.setPath(localFile.getPath());
    fileBatch.getFiles().add(localFileData);
    Map<Class, BatchObject> batchs = otterTransformFactory.transform(fileBatch);
    FileBatch result = (FileBatch) batchs.get(FileData.class);
    want.number(result.getFiles().size()).isEqualTo(1);
}

Example 3 with BatchObject

use of com.alibaba.otter.shared.etl.model.BatchObject in project otter by alibaba.

the class TransformTask method run.

public void run() {
    MDC.put(OtterConstants.splitPipelineLogFileKey, String.valueOf(pipelineId));
    while (running) {
        try {
            final EtlEventData etlEventData = arbitrateEventService.transformEvent().await(pipelineId);
            Runnable task = new Runnable() {

                @Override
                public void run() {
                    // 设置profiling信息
                    boolean profiling = isProfiling();
                    Long profilingStartTime = null;
                    if (profiling) {
                        profilingStartTime = System.currentTimeMillis();
                    }
                    MDC.put(OtterConstants.splitPipelineLogFileKey, String.valueOf(pipelineId));
                    String currentName = Thread.currentThread().getName();
                    Thread.currentThread().setName(createTaskName(pipelineId, "transformWorker"));
                    try {
                        // 后续可判断同步数据是否为rowData
                        List<PipeKey> keys = (List<PipeKey>) etlEventData.getDesc();
                        DbBatch dbBatch = rowDataPipeDelegate.get(keys);
                        // 可能拿到为null，因为内存不足或者网络异常，长时间阻塞时，导致从pipe拿数据出现异常，数据可能被上一个节点已经删除
                        if (dbBatch == null) {
                            processMissData(pipelineId, "transform miss data with keys:" + keys.toString());
                            return;
                        }
                        // 根据对应的tid，转化为目标端的tid。后续可进行字段的加工处理
                        // 暂时认为rowBatchs和fileBatchs不会有异构数据的转化
                        Map<Class, BatchObject> dataBatchs = otterTransformerFactory.transform(dbBatch.getRowBatch());
                        // 可能存在同一个Pipeline下有Mq和Db两种同步类型
                        dbBatch.setRowBatch((RowBatch) dataBatchs.get(EventData.class));
                        if (dbBatch.getFileBatch() != null) {
                            Map<Class, BatchObject> fileBatchs = otterTransformerFactory.transform(dbBatch.getFileBatch());
                            dbBatch.setFileBatch((FileBatch) fileBatchs.get(FileData.class));
                        }
                        // 传递给下一个流程
                        List<PipeKey> nextKeys = rowDataPipeDelegate.put(dbBatch, etlEventData.getNextNid());
                        etlEventData.setDesc(nextKeys);
                        if (profiling) {
                            Long profilingEndTime = System.currentTimeMillis();
                            stageAggregationCollector.push(pipelineId, StageType.TRANSFORM, new AggregationItem(profilingStartTime, profilingEndTime));
                        }
                        // 处理完成后通知single已完成
                        arbitrateEventService.transformEvent().single(etlEventData);
                    } catch (Throwable e) {
                        if (!isInterrupt(e)) {
                            logger.error(String.format("[%s] transformWork executor is error! data:%s", pipelineId, etlEventData), e);
                            sendRollbackTermin(pipelineId, e);
                        } else {
                            logger.info(String.format("[%s] transformWork executor is interrrupt! data:%s", pipelineId, etlEventData), e);
                        }
                    } finally {
                        Thread.currentThread().setName(currentName);
                        MDC.remove(OtterConstants.splitPipelineLogFileKey);
                    }
                }
            };
            // 构造pending任务，可在关闭线程时退出任务
            SetlFuture extractFuture = new SetlFuture(StageType.TRANSFORM, etlEventData.getProcessId(), pendingFuture, task);
            executorService.execute(extractFuture);
        } catch (Throwable e) {
            if (isInterrupt(e)) {
                logger.info(String.format("[%s] transformTask is interrupted!", pipelineId), e);
                return;
            } else {
                logger.error(String.format("[%s] transformTask is error!", pipelineId), e);
                sendRollbackTermin(pipelineId, e);
            }
        }
    }
}

Example 4 with BatchObject

use of com.alibaba.otter.shared.etl.model.BatchObject in project otter by alibaba.

the class OtterTransformerTest method test_rowData_oracle_mysql.

@Test
public void test_rowData_oracle_mysql() {
    final Pipeline pipeline = new Pipeline();
    pipeline.setId(100L);
    List<DataMediaPair> pairs = new ArrayList<DataMediaPair>();
    DataMediaPair pair1 = new DataMediaPair();
    pair1.setId(1L);
    pair1.setPipelineId(pipeline.getId());
    pair1.setPullWeight(1L);
    pair1.setPushWeight(1L);
    DbDataMedia oracleMedia = getOracleMedia();
    oracleMedia.setId(1L);
    pair1.setSource(oracleMedia);
    DbDataMedia mysqlMedia = getMysqlMedia();
    pair1.setTarget(mysqlMedia);
    pairs.add(pair1);
    pipeline.setPairs(pairs);
    PipelineParameter param = new PipelineParameter();
    param.setSyncMode(SyncMode.ROW);
    pipeline.setParameters(param);
    new NonStrictExpectations() {

        {
            configClientService.findPipeline(anyLong);
            returns(pipeline);
        }
    };
    Identity identity = new Identity();
    identity.setChannelId(100L);
    identity.setPipelineId(100L);
    identity.setProcessId(100L);
    RowBatch rowBatch = new RowBatch();
    rowBatch.setIdentity(identity);
    EventData eventData = new EventData();
    eventData.setTableId(1L);
    eventData.setSchemaName("srf");
    eventData.setTableName("columns");
    eventData.setEventType(EventType.UPDATE);
    eventData.setExecuteTime(100L);
    eventData.getKeys().add(buildColumn("id", Types.NUMERIC, "1", true, false));
    eventData.getKeys().add(buildColumn("name", Types.VARCHAR, "ljh", true, false));
    eventData.getColumns().add(buildColumn("alias_name", Types.CHAR, "hello", false, false));
    eventData.getColumns().add(buildColumn("amount", Types.NUMERIC, "100.01", false, false));
    eventData.getColumns().add(buildColumn("text_b", Types.BLOB, "[116,101,120,116,95,98]", false, false));
    eventData.getColumns().add(buildColumn("text_c", Types.CLOB, "text_c", false, false));
    eventData.getColumns().add(buildColumn("curr_date", Types.DATE, "2011-01-01", false, false));
    eventData.getColumns().add(buildColumn("gmt_create", Types.DATE, "2011-01-01 11:11:11", false, false));
    eventData.getColumns().add(buildColumn("gmt_modify", Types.DATE, "2011-01-01 11:11:11", false, false));
    rowBatch.merge(eventData);
    Map<Class, BatchObject> batchs = otterTransformFactory.transform(rowBatch);
    RowBatch result = (RowBatch) batchs.get(EventData.class);
    want.number(result.getDatas().size()).isEqualTo(1);
}

Example 5 with BatchObject

use of com.alibaba.otter.shared.etl.model.BatchObject in project otter by alibaba.

the class OtterTransformerFactory method transform.

/**
     * 将一种源数据进行转化，最后得到的结果会根据DataMediaPair中定义的目标对象生成不同的数据对象 <br/>
     * 
     * <pre>
     * 返回对象格式：Map
     * key : Class对象，代表生成的目标数据对象
     * value : 每种目标数据对象的集合数据
     * </pre>
     */
public Map<Class, BatchObject> transform(RowBatch rowBatch) {
    final Identity identity = translateIdentity(rowBatch.getIdentity());
    Map<Class, BatchObject> result = new HashMap<Class, BatchObject>();
    // 初始化默认值
    result.put(EventData.class, initBatchObject(identity, EventData.class));
    for (EventData eventData : rowBatch.getDatas()) {
        // 处理eventData
        Long tableId = eventData.getTableId();
        Pipeline pipeline = configClientService.findPipeline(identity.getPipelineId());
        // 针对每个同步数据，可能会存在多路复制的情况
        List<DataMediaPair> dataMediaPairs = ConfigHelper.findDataMediaPairByMediaId(pipeline, tableId);
        for (DataMediaPair pair : dataMediaPairs) {
            if (!pair.getSource().getId().equals(tableId)) {
                // 过滤tableID不为源的同步
                continue;
            }
            OtterTransformer translate = lookup(pair.getSource(), pair.getTarget());
            // 进行转化
            Object item = translate.transform(eventData, new OtterTransformerContext(identity, pair, pipeline));
            if (item == null) {
                continue;
            }
            // 合并结果
            merge(identity, result, item);
        }
    }
    return result;
}