mongodb indexes best practices

first, the index MongoDB provides a variety of index support, the index information is saved in System.indexes, and the default is always to create an index for _ID, its index uses the basic and MySQL and other relational database. In fact, it can be said that the index is above the data storage system on the other layer of the system, so the various structures of different storage have the same or similar index implementation and use of interfaces a

Introduction to MongoDb indexes and mongodb Indexes MongoDb Index 1. _ Id index: Default Index 2. single-Key Index: for example, a record: {x: 1, y: 2, z: 3}, statement db. collection. ensureIndex ({x: 1}) indicates creating an ascending index for x. The value 1 after x: 1

@ Zheng summary creation date: 2012/9 Application Design: 1) If the query does not use the expected index, use hint to force the specified index.The Product Center of the main site uses many document fields and many indexes. When Sha Chuang checked for slow queries, he was puzzled. Why is the query still very slow when the joint index was explicitly specified. Hint example: db. collection. find ({"age": 18, "username ":/. */}). hint ({"username": 1, "

Thoughts on MongoDB application practices and practicesI recently studied MongoDB and used it to quickly build a flexible no schema storage system. Through demonstration and analysis, this article uses MongoDB to quickly build a storage system with good performance and availability to meet the needs of hundreds of mill

I saw a PPT about MongoDB deep indexing a few days ago. MongoDB indexing: the details You can see the range and consistency of compound indexes from the beginning and end. On the 129th page of the PPT, review this example. insert nine data records into a collection, as shown below: > db.good.find(){ "_id" : ObjectId("4e8d629d8ad8bdf2ed6c1990"), "x" : 1, "y" :

There is not a lot to know about MongoDB, but in this limited cognition, it is found that its nosql features are distinct. Because the nosql of the relationship is very interesting and feels more comfortable than relational databases like MySQL. So we are concerned about the MongoDB database, hoping to delve deeper into the powerful place where it can be used more skillfully. These articles are the study of

MongoDB connection pool introduction, important parameters of the connection pool and connection pool practices, mongodb ParametersI. mongoDB connection pool When using MongoDB, the database connection pool will be considered due to the impact of the previous use of relation

amazing to see the question. But the actual look of the past has not changed.Determine if MongoDB used index intersection, run explain (); The results of explain () would include either an and_sorted stage or an and_hash stage. Merge sort or hash combination. Similar to join practices. Stages is descriptive of the operation; e.g. COLLSCANFor a collection scan IXSCANFor scanning index keys

Tags: tags sed test data gray process localhost SSE localOne, the connection 1.mongo mongodb://localhost:27000 2. Show Databases (DBS) Use test 3. Db Show collections Second, insert 1.db.proccessedfile.insertone ({fileName: "20170403/3.gz", Processeddate:new isodate (), datanumber:10000, x:10}) 2.db.mongodb.insertmany ([{item: "Journal", Qty:25, Tags: ["blank", "red"], size: {h:14, w:21, UoM: "CM"}}, { Item: "Mat", qty:85, Tags: ["Gray"], size: {h:27.

It has been nearly a year since I came into contact with mongodb, And I have accumulated a lot of experience in indexing it. On this dark night, I would like to summarize the mongodb index. I. Index description mongodb has two types of indexes: single-key index and composite index. 1. Single-key index is the simplest i

Selecting a suitable NoSQL database is not discussed in this article, but please do some research before using NoSQL. No database is suitable for all situations. This article is false Selecting a suitable NoSQL database is not discussed in this article, but please do some research before using NoSQL. No database is suitable for all situations. This article is false There are already many articles about NoSQL selection. Factors that affect your database include read/write throughput, persist

I. Index operation indexes are generated to optimize the query speed. The indexes of MongoDB and other relational databases, such as MySQL and Oracle, are almost the same, their index optimization experience also applies to MongoDB. 1. Create an index in MongoDB through the

: Term: ' legacy coordinate pairs ' format.Query operationsThe MongoDB Geospatial query operation allows you to query:ContainsMongoDB can query for locations that are fully contained within a specified polygon area. The containing query uses the $geoWithin operator. Both indexes 2d and 2dsphere indexes support include queries. After version 2.2.3,

Experience on creating indexes in mongodb It has been nearly a year since I came into contact with mongodb, And I have accumulated a lot of experience in indexing it. On this dark night, I would like to summarize the mongodb index. I. Index Introduction Mongodb has two type

Tags: MongoDB installation documentation First download MongoDB installation package Http://www.mongodb.org/downloads My system is redhat5.8 all select the corresponding version package is OK now the latest version is 3.0.3 Decompression mongodb-linux-x86_64-rhel55-3.0.3.tgz [[emailprotected]~]#tarzxvfmongodb-linux-x86_64-rhel55-3.0.3.tgz-c/ Opt

There is not a lot to know about MongoDB, but in this limited cognition, it is found that its nosql features are distinct. Because the nosql of the relationship is very interesting and feels more comfortable than relational databases like MySQL. So we are concerned about the MongoDB database, hoping to delve deeper into the powerful place where it can be used more skillfully. These articles are the study of

indexes can often greatly improve the efficiency of queries. When you use queries in your system, you should consider establishing related indexes. Creating an index in MongoDB is relatively easy.The index in MongoDB is conceptually the same as most relational databases such as MySQL. When you need to build an index in

-2 object -3 array -4 binary data-5 Object ID-7 Boolean type-8 data-9 null -10 Regular expression -11 JS code -13 symbol -14 scoped JS code -15 32-bit integer -16 time stamp -17 64-bit integer -18 Min key-255 Max key-127 Limit and Skip Reads the specified number of data records-limit db.shiyanlou.find (). Limit (1) #读取一条记录, which by default is the first one that is read -only skips a specified number of data records-skip Db.shiyanlou.find (). Limit (1). Skip (1)

Last week in Ruby-china posted "MongoDB those pits", reflected quite enthusiastic, many reply very insightful, one of the children's shoes in-depth mention of the MongoDB indexing method, which led me to a more in-depth understanding of the MongoDB index method and some considerations. In the MongoDB, it is mentioned

background. You only need to specify "backgroud: true. For example, 3. the embedded index does not have any difference between the key creation index of embedded documents and the normal key creation index. 4. document Indexing 5. the queries below the composite index will use this index to compose multiple values. This composite index can be used only when the subquery matches the index prefix. 6. For a unique index, you only need to specify "unique: true" in the name of ensureIndex. If you cr