Java BatchStateEnum.NotProcessed方法代码示例

import com.sforce.async.BatchStateEnum; //导入方法依赖的package包/类
private BatchInfo waitBatch(BatchInfo batchInfo)
        throws InterruptedException, AsyncApiException {
    while(true) {
        Thread.sleep(pollingIntervalMillisecond);
        batchInfo = bulkConnection.getBatchInfo(
                batchInfo.getJobId(),
                batchInfo.getId());
        BatchStateEnum state = batchInfo.getState();
        if (state == BatchStateEnum.Completed ||
                state == BatchStateEnum.Failed ||
                state == BatchStateEnum.NotProcessed) {
            return batchInfo;
        }
    }
}
 

import com.sforce.async.BatchStateEnum; //导入方法依赖的package包/类
/**
 * Wait for a job to complete by polling the Bulk API.
 * 
 * @param connection
 *            BulkConnection used to check results.
 * @param job
 *            The job awaiting completion.
 * @param batchInfoList
 *            List of batches for this job.
 * @throws AsyncApiException
 */
public void awaitCompletion(BulkConnection connection, JobInfo job, List<BatchInfo> batchInfoList)
		throws AsyncApiException {
	long sleepTime = 0L;
	Set<String> incompleteBatchInfos = new HashSet<String>();
	for (BatchInfo bi : batchInfoList) {
		incompleteBatchInfos.add(bi.getId());
	}
	while (!incompleteBatchInfos.isEmpty()) {
		try {
			Thread.sleep(sleepTime);
		} catch (InterruptedException e) {
			ApexUnitUtils
					.shutDownWithDebugLog(e, "InterruptedException encountered while the thread was attempting to sleep");
		}
		LOG.debug("Awaiting results... Batches remaining for processing: " + incompleteBatchInfos.size());
		sleepTime = 10000L;
		BatchInfo[] statusList = connection.getBatchInfoList(job.getId()).getBatchInfo();
		for (BatchInfo batchInfo : statusList) {
			// Retain the BatchInfo's which are in InProgress and Queued
			// status,
			// Remove the rest from the incompleteBatchInfos
			if (batchInfo.getState() == BatchStateEnum.Completed) {
				if (incompleteBatchInfos.remove(batchInfo.getId())) {
					LOG.debug("BATCH STATUS:" + batchInfo.getStateMessage());
				}
			} else if (batchInfo.getState() == BatchStateEnum.NotProcessed) {
				LOG.info("Batch " + batchInfo.getId() + " did not process, terminating it");
				incompleteBatchInfos.remove(batchInfo.getId());
			} else if (batchInfo.getState() == BatchStateEnum.Failed) {
				ApexUnitUtils.shutDownWithErrMsg("BATCH STATUS:" + batchInfo.getStateMessage());
			}
		}
	}
}
 

import com.sforce.async.BatchStateEnum; //导入方法依赖的package包/类
/**
 * Creates and executes job for bulk query. Job must be finished in 2 minutes on Salesforce side.<br/>
 * From Salesforce documentation two scenarios are possible here:
 * <ul>
 * <li>simple bulk query. It should have status - {@link BatchStateEnum#Completed}.</li>
 * <li>primary key chunking bulk query. It should return first batch info with status - {@link BatchStateEnum#NotProcessed}.<br/>
 * Other batch info's should have status - {@link BatchStateEnum#Completed}</li>
 * </ul>
 *
 * @param moduleName - input module name.
 * @param queryStatement - to be executed.
 * @throws AsyncApiException
 * @throws InterruptedException
 * @throws ConnectionException
 */
public void doBulkQuery(String moduleName, String queryStatement)
        throws AsyncApiException, InterruptedException, ConnectionException {
    job = new JobInfo();
    job.setObject(moduleName);
    job.setOperation(OperationEnum.query);
    if (concurrencyMode != null) {
        job.setConcurrencyMode(concurrencyMode);
    }
    job.setContentType(ContentType.CSV);
    job = createJob(job);
    if (job.getId() == null) { // job creation failed
        throw new ComponentException(new DefaultErrorCode(HttpServletResponse.SC_INTERNAL_SERVER_ERROR, "failedBatch"),
                ExceptionContext.build().put("failedBatch", job));
    }

    ByteArrayInputStream bout = new ByteArrayInputStream(queryStatement.getBytes());
    BatchInfo info = createBatchFromStream(job, bout);
    int secToWait = 1;
    int tryCount = 0;
    while (true) {
        LOGGER.debug("Awaiting " + secToWait + " seconds for results ...\n" + info);
        Thread.sleep(secToWait * 1000);
        info = getBatchInfo(job.getId(), info.getId());

        if (info.getState() == BatchStateEnum.Completed
                || (BatchStateEnum.NotProcessed == info.getState() && 0 < chunkSize)) {
            break;
        } else if (info.getState() == BatchStateEnum.Failed) {
            throw new ComponentException(new DefaultErrorCode(HttpServletResponse.SC_BAD_REQUEST, "failedBatch"),
                    ExceptionContext.build().put("failedBatch", info));
        }
        tryCount++;
        if (tryCount % 3 == 0) {// after 3 attempt to get the result we multiply the time to wait by 2
            secToWait = secToWait * 2;
        }
        // There is also a 2-minute limit on the time to process the query.
        // If the query takes more than 2 minutes to process, a QUERY_TIMEOUT error is returned.
        // https://developer.salesforce.com/docs/atlas.en-us.api_asynch.meta/api_asynch/asynch_api_concepts_limits.htm
        int processingTime = (int) ((System.currentTimeMillis() - job.getCreatedDate().getTimeInMillis()) / 1000);
        if (processingTime > 120) {
            throw new ComponentException(new DefaultErrorCode(HttpServletResponse.SC_REQUEST_TIMEOUT, "failedBatch"),
                    ExceptionContext.build().put("failedBatch", info));
        }
    }

    retrieveResultsOfQuery(info);
}