mongodb

How to update deeply nested array with C# MongoDB.Driver?

由 三世轮回 提交于 2021-02-07 02:57:01
问题 I have such model: { "_id":"5b90eea8c02e062be2888446", "storeGuid":"e97d4730-9b8a-49ed-be87-caf4054439aa", "storeId":"0", "storeDbName":"0", "tenant":"dev", "configGroup":[ { "groupName":"peopleCounter", "config":[ { "key":"averageWaitPeriodTime", "value":"60", } ] }, { "groupName":"sessionMonitor", "config":[ { "key":"testKey1", "value":"987", }, { "key":"testKey2", "value":"123", } ] } ] } I am trying to update value for "key":"testKey2" I have such update statement: await coll

How to update deeply nested array with C# MongoDB.Driver?

由 倾然丶 夕夏残阳落幕 提交于 2021-02-07 02:56:14
问题 I have such model: { "_id":"5b90eea8c02e062be2888446", "storeGuid":"e97d4730-9b8a-49ed-be87-caf4054439aa", "storeId":"0", "storeDbName":"0", "tenant":"dev", "configGroup":[ { "groupName":"peopleCounter", "config":[ { "key":"averageWaitPeriodTime", "value":"60", } ] }, { "groupName":"sessionMonitor", "config":[ { "key":"testKey1", "value":"987", }, { "key":"testKey2", "value":"123", } ] } ] } I am trying to update value for "key":"testKey2" I have such update statement: await coll

Robomongo : Exceeded memory limit for $group

由 倾然丶 夕夏残阳落幕 提交于 2021-02-06 14:49:05
问题 I`m using a script to remove duplicates on mongo, it worked in a collection with 10 items that I used as a test but when I used for the real collection with 6 million documents, I get an error. This is the script which I ran in Robomongo (now known as Robo 3T): var bulk = db.getCollection('RAW_COLLECTION').initializeOrderedBulkOp(); var count = 0; db.getCollection('RAW_COLLECTION').aggregate([ // Group on unique value storing _id values to array and count { "$group": { "_id": { RegisterNumber

MongoDB - installation error - mongodb setup wizard ended prematurely

由 本小妞迷上赌 提交于 2021-02-06 14:24:50
问题 I earlier had this issue while installing. Checked with other threads too, but could not able to find a proper solution in my case. UPDATE : CLOSED! 回答1: Uncheck the Install MongoDB Compass option in the setup wizard. Worked for me. 回答2: unchecking Install MongoDB Compass solves the issue directly from startup wizard while installing in windows10 回答3: For Windows 10, you will have to install MongoDB Compass separately. After install MongoDB, then download MongoDB Compass separately from here.

MongoDB - installation error - mongodb setup wizard ended prematurely

由 放肆的年华 提交于 2021-02-06 14:21:30
问题 I earlier had this issue while installing. Checked with other threads too, but could not able to find a proper solution in my case. UPDATE : CLOSED! 回答1: Uncheck the Install MongoDB Compass option in the setup wizard. Worked for me. 回答2: unchecking Install MongoDB Compass solves the issue directly from startup wizard while installing in windows10 回答3: For Windows 10, you will have to install MongoDB Compass separately. After install MongoDB, then download MongoDB Compass separately from here.

2021年跳槽该如何准备？c/c++ linux服务器开发岗

由 你说的曾经没有我的故事 提交于 2021-02-06 12:56:38
灵魂三问： 2020年你涨薪了吗？ 2020年你的技术提升了吗？ 对于2020年的自己是否满意？ “金三银四”即将到来，作为一年的跳槽季，这是找工作换工作的最佳时机，对于不满现状的朋友考虑在这个时间跳槽，但是看看招聘网站，要求玄的要死。面试几轮之后更是没有深没有浅。经过一段时间的接触之后，内心十分着急，又不知道怎么办，就是没有一个具体可执行的计划。这样下去导致最坏的结果可能是今年的跳槽可能变成了换坑，跳槽是职业生涯有续线性的增长，无论收入还是title或者平台，换坑是从这个坑跳到另外一个坑，从而进入一个恶性循环，给长期职业发展带来很不利的影响，个人能力的成长长期维持在同一水平线上下浮动。 计划的意思是了解当下市场招聘环境的变化，并且根据对自己技术势力的综合评估对当前的市场行情的预估之后，分析技术差距罗列的一个学习列表，具体细节的实施，学习效果的验证，要花费多长时间来完成他，每天要投入多少精力学习等等，根据不同的情况来自己把握。 首先给大家分享一份对标腾讯T8(原2.3)职级的技术栈，供大家查漏补缺 c/c++ linux服务器开发学习地址： c/c++ linux服务器高级架构师 一、精进基石 1、数据结构与算法 2、设计模式23种（没有全部列举） 3、工程管理 视频学习地址： 设计模式很难吗？看mark老师如何吊打设计模式 红黑树，在Linux内核的那些故事 二、高性能网络设计

MongoDB Spark Connector - aggregation is slow

由 天涯浪子 提交于 2021-02-06 12:50:36
问题 I am running the same aggregation pipeline with a Spark Application and on the Mongos console. On the console, the data is fetched within the blink of an eye, and only a second use of "it" is needed to retrieve all expected data. The Spark Application however takes almost two minutes according to the Spark WebUI. As you can see, 242 tasks are being launched to fetch the result. I am not sure why such an high amount of tasks is launched while there are only 40 documents being returned by the

MongoDB Spark Connector - aggregation is slow

由 荒凉一梦 提交于 2021-02-06 12:50:32
问题 I am running the same aggregation pipeline with a Spark Application and on the Mongos console. On the console, the data is fetched within the blink of an eye, and only a second use of "it" is needed to retrieve all expected data. The Spark Application however takes almost two minutes according to the Spark WebUI. As you can see, 242 tasks are being launched to fetch the result. I am not sure why such an high amount of tasks is launched while there are only 40 documents being returned by the

MongoDB Spark Connector - aggregation is slow

由 非 Y 不嫁゛ 提交于 2021-02-06 12:49:07
问题 I am running the same aggregation pipeline with a Spark Application and on the Mongos console. On the console, the data is fetched within the blink of an eye, and only a second use of "it" is needed to retrieve all expected data. The Spark Application however takes almost two minutes according to the Spark WebUI. As you can see, 242 tasks are being launched to fetch the result. I am not sure why such an high amount of tasks is launched while there are only 40 documents being returned by the

What is the best practice to connect/disconnect to a database?

由 烈酒焚心 提交于 2021-02-06 12:48:56
问题 I'd like to know how to work with connectivity to a database in MEAN stack application. In particular, when should I create a connection to a database and when should I destroy a connection to a database. Should I create and destroy a connection on every new HTTP request or should I store a once created connection and use it for any subsequent requests as long as possible. I use Mongoose as a modeling tool. Here is an example. This is my routes.js file with a route /index . A request to this
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