MarkLogic结构化查询Peformance
我工作的地方达1万份文件需要我们使用的是Java客户端API和结构化查询来执行搜索以2小时MarkLogic结构化查询Peformance
要获取的应用程序。但是,查询仍然很慢。
守则如下:
def fetchPostMessages(dbParam: DbParam): Page = { val queryManager = dbClient.newQueryManager()
val sqb: StructuredQueryBuilder = queryManager.newStructuredQueryBuilder()
log.info(s "Fetching post messages from database for params: {}", dbParam)
val modifiedQueryDef = dbParam.param.map {
param => {
sqb.and(
sqb.word(sqb.jsonProperty(status), toBeReported),
sqb.word(sqb.jsonProperty(dataCategory), "dataCategory1"),
sqb.range(sqb.jsonProperty(creationDate), marklogicDateFormat.name, Operator.LE, DateUtil.printFpmlDateTime(param.messagesTime)))
}
}.getOrElse(sqb.and(sqb.word(sqb.jsonProperty(status.name), toBeReported.name)))
modifiedQueryDef.setCollections(XmlConstants.ItracMessageTypes.OUTPUT_MESSAGE.name)
modifiedQueryDef.setOptionsName(sortOption)
search(modifiedQueryDef, dbParam.pageNum, dbParam.batchSize)
}
private def search(queryDef: QueryDefinition, startIndex: Int, batchSize: Int): Page = {
val dataList: ListBuffer[Document] = new ListBuffer()
val jsonDocManager = dbClient.newJSONDocumentManager()
jsonDocManager.setMetadataCategories(Metadata.ALL)
jsonDocManager.setPageLength(
if (batchSize < pageLength) batchSize
else pageLength)
val documentPage = jsonDocManager.search(queryDef, startIndex);
dataList.++ = (extractContent(documentPage))
val totalSize = documentPage.getTotalSize
log.info(s "Total documents to be reported : ${totalSize}")
var pageSize = documentPage.getPageSize
while (pageSize < batchSize && pageSize <= totalSize) {
if (batchSize - pageSize < pageSize)
jsonDocManager.setPageLength(batchSize - pageSize)
var newDocPage = jsonDocManager.search(queryDef, pageSize + 1)
dataList.++ = (extractContent(newDocPage))
pageSize = pageSize + newDocPage.getPageSize
}
log.info("Total messages fetched are : {}", dataList.size)
Page(startIndex, totalSize - batchSize, dataList.to[collection.immutable.Seq])
}
排序选项:
<search:options xmlns:search="http://marklogic.com/appservices/search"> <search:sort-order type="xs:string" direction="ascending">
<search:json-property>subdomLvl1</search:json-property>
</search:sort-order>
<search:sort-order type="xs:string" direction="ascending">
<search:json-property>trdId</search:json-property>
</search:sort-order>
<search:sort-order type="xs:string" direction="ascending">
<search:json-property>validStartDate</search:json-property>
</search:sort-order>
<search:sort-order type="xs:string" direction="ascending">
<search:json-property>ver</search:json-property>
</search:sort-order>
<search:sort-order type="xs:string" direction="ascending">
<search:json-property>reportStatus</search:json-property>
</search:sort-order>
</search:options>
的数据库索引是如下:
元素范围索引上 - 状态,dataCategory和creationDate和所有排序选项
回答:
如果进程不需要该文档nt元数据,请考虑使用jsonDocManager.clearMetadataCategories()而不是jsonDocManager.setMetadataCategories(Metadata.ALL)进行配置。这种方法将减少服务器和客户端的工作,并减少传输的数据。
循环可以通过测试newDocPage.hasNextPage()被简化 - 见:
http://docs.marklogic.com/guide/java/bulk#id_21619
而是在一个列表中积累的所有万份文件中,可以在客户端流文件到消费过程他们到了?这肯定会提高吞吐量。
您还可以考虑使用数据移动SDK阅读多线程文件:
http://docs.marklogic.com/guide/java/data-movement#id_60613
http://docs.marklogic.com/javadoc/client/com/marklogic/client/datamovement/QueryBatcher.html
希望帮助,
以上是 MarkLogic结构化查询Peformance 的全部内容, 来源链接: utcz.com/qa/265368.html