Question

我目前正在开发ArangoDB POC。我发现使用PyArango在ArangoDB中创建文档所需的时间非常长。插入300个文档大约需要5分钟。我已粘贴下面的粗略代码，如果有更好的方法可以加快速度，请告诉我：

with open('abc.csv') as fp:
for line in fp:
    dataList = line.split(",")

    aaa = dbObj['aaa'].createDocument()
    bbb = dbObj['bbb'].createDocument() 
    ccc = dbObj['ccc'].createEdge()

    bbb['bbb'] = dataList[1]
    aaa['aaa'] = dataList[0]
    aaa._key = dataList[0]

    aaa.save()
    bbb.save()

    ccc.links(aaa,bbb)
    ccc['related_to'] = "gfdgf"
    ccc['weight'] = 0

    ccc.save()

不同的集合由以下代码创建：

 dbObj.createCollection(className='aaa', waitForSync=False)

Answer 1

了解arango java驱动程序中批处理模式的问题。如果您知道顶点的关键属性，则可以通过＆＃34; collectionName＆＃34;来构建文档句柄。 +＆＃34; /＆＃34; +＆＃34; documentKey＆＃34;。例如：

arangoDriver.startBatchMode();

for(String line : lines)
{
  String[] data = line.split(",");

  BaseDocument device = new BaseDocument();
  BaseDocument phyAddress = new BaseDocument(); 
  BaseDocument conn = new BaseDocument();

  String keyDevice = data[0];
  String handleDevice = "DeviceId/" + keyDevice; 

  device.setDocumentKey(keyDevice);

  device.addAttribute("device_id",data[0]);

  String keyPhyAddress = data[1];
  String handlePhyAddress = "PhysicalLocation/" + keyPhyAddress; 

  phyAddress.setDocumentKey(keyPhyAddress);

  phyAddress.addAttribute("address",data[1]);

  final DocumentEntity<BaseDocument> from = arangoDriver.graphCreateVertex("testGraph", "DeviceId", device, null);       
  final DocumentEntity<BaseDocument> to = arangoDriver.graphCreateVertex("testGraph", "PhysicalLocation", phyAddress, null);

  arangoDriver.graphCreateEdge("testGraph", "DeviceId_PhysicalLocation", null, handleDevice, handlePhyAddress, null, null);

}
arangoDriver.executeBatch();

Answer 2

我将构建要插入json格式字符串的所有数据，并使用createDocumentRaw一次创建所有数据，只需一次保存。

将批量数据导入ArangoDB的最佳方法

2 个答案: