在这种情况下,您需要使用文档ID作为条件。使用where方法来筛选具有特定文档ID的文档。例如,以下代码将选择具有特定文档ID的用户文档: 代码语言:txt 复制 var query = usersRef.where(firebase.firestore.FieldPath.documentId(), "==", "specific_document_id");...
db.collection('books').where(firebase.firestore.FieldPath.documentId(), '==', 'fK3ddutEpD2qQqRMXNW5').get() 当您处理 firebase 安全规则并且只想查询允许访问的记录时,这可能很有用。 原文由 Denys Mikhalenko 发布,翻译遵循 CC BY-SA 4.0 许可协议 有...
Android Firestore上传后获取文档ID Android Firestore是一种云数据库服务,它提供了实时同步和离线数据存储的功能。它是Google Firebase平台的一部分,用于移动应用程序的后端开发。 在Android Firestore中,上传文档后获取文档ID的步骤如下: 首先,确保你的Android应用程序已经集成了Firebase和Firestore。你可以在Firebase控制台...
即:在“TopCollection/document_this/NextCollection/document_that/Travesty/document_Id_I_want”中查找文档 使用集合组“Travesty” db.collectionGroup("Travesty") .where(firebase.firestore.FieldPath.documentId(), '==', "document_id_I_want") … 会 失败,但是… db.collectionGroup("Travesty") .where...
I have the same issue. It seems findByXxxIn() where Xxx is not @DocumentId (so you have to assign an own identifier like UUID) is a workaround albeit a shitty one as FireStore probably uses the documentId for indexing and this might affect performance or costs (?)...
FirebaseFirestore.getInstance().collection("michat").whereEqualTo("alias","test").get().addOnSuccessListener{Log.d("FirstFragment","query success result:$it")it.forEach{queryDocumentSnapshot->Log.d("FirstFragment","query success result:$queryDocumentSnapshot")}}.addOnFailureListener{Log.d("Fi...
Firestore 文档只能包含 1MB 的数据。之后，对它的写入将失败，并且您将很难重组您的应用程序及其数据以...
这段代码清晰地展示了如何使用Firestorm执行复杂的查询任务。通过链式调用where方法来添加多个筛选条件,并使用orderBy方法指定排序规则。最后,通过调用get方法执行查询并获取结果。这样的设计不仅大大简化了代码量,还提高了代码的可读性和可维护性。 4.2 监听器与实时更新 ...
A sprintf compatible template for formatting the collection name where sessions will be stored. The template receives two values, the first being the save path and the latter being the session name. ↳ begin array Configuration options for beginTransaction. ↳ commit array Configuration options...
This document was being managed for the Cards even where User has read everything. So, this Query was relatively larger, as it was loading extra documents. We added a field to this document anyUnread (Boolean); and this Query was updated to include only documents where anyUnread=true. So...