usage rule
Thrift
Supported data types
The set in mongodb corresponds to the struct in thrift.
The struct field supports all basic data types, container types (list, map, set), binary, enumeration types (both in file and out of file references are supported), struct types (both in file and out of file references are supported), and legal combinations of the above types in thrift.
Supported naming conventions
Struct and various fields can be named using either the Big Camel Naming Method or the Snake Naming Method.
Add Mongodb tag
Add tags using annotations.
format: (go.tag="bson:\"{field_name}{,omitempty}(Choose whether to add as needed)\"")
example: (go.tag="bson:\"id,omitempty\"")
or (go.tag="bson:\"id\"")
Add Mongodb curd function
Add functions using annotations.
format: mongo.{Parse the function name used} = "{The actual function name used}({input params...}) (returns...)"
example: mongo.InsertOne = "InsertUser(ctx context.Context, user *user.User) (interface{}, error)"
For specific rules, please refer to usage rule.
Protobuf
Supported data types
The set in mongodb corresponds to the message in protobuf.
The message field supports all basic data types in proto, keywords such as repeated, bytes, enumeration types (both in file and out of file references are supported), message types (both in file and out of file references are supported), and legal combinations of the above types.
Supported naming conventions
Message and various fields can be named using either the Big Camel Naming Method or the Snake Naming Method.
Add Mongodb tag
Add tags using comments.
format: // go.tag=|bson:"{field_name}{,omitempty}(Choose whether to add as needed)"|
example: // go.tag=|bson:"id,omitempty"|
or // go.tag=|bson:"id"|
Add Mongodb curd function
Add functions using comments.
format: // mongo.{Parse the function name used} = |{The actual function name used}({input params...}) (returns...)|
example: // mongo.InsertOne = |InsertUser(ctx context.Context, user *user.User) (interface{}, error)|
For specific rules, please refer to usage rule.
Usage Rule
The function name adopts a camel shaped naming, with the first letter capitalized, and the first word must be one of the following:
- Insert
- Find
- Update
- Delete
- Count
- Bulk
- Transaction
Divide all operations into two categories: acting on a single document and acting on multiple documents. The specific judgment is determined by the combination of passed in parameters and return values.
Insert
The Insert
operation only has two options: insert a single document and insert multiple documents, which are determined by both the incoming parameters and the return value.
Function Naming: The first word is Insert
, and the rest can be defined arbitrarily.
Input Params: Fix two,(ctx(fix), structure pointer or structure pointer slice)
Returns: Fix two, (interface{} or []interface{}, error(fix))
Find
The Find
operation includes two types: single entity and multiple entities, determined by the return value. The return value is a pointer slice, which is a single entity operation. Otherwise, it is a multiple entity operation.
Function Naming: The first word is Find
, followed by the following rules: Find{The field names you want to obtain, if not, obtain all of them}{Sort and page operations, if not, do not add}By{Query condition}/All(No Query Condition)
Input Params: The first parameter is fixed as ctx
, and the following parameters are passed in order based on the comparison conditions.
Returns: Fix two, (structure pointer or structure pointer slice, error(fix))
Example: Find Name OrderbyNameSkipLimit By GenderEqualOrAgeGreaterThan
Field Name:Corresponding structural field names in go
If there is a nested structure, the field name format is: {Field name of the child structure in the parent structure}{Specific field name in the child structure}. For example, if User nested Video and wants to find the Id field of the Video, it is: VideoId
Sorting and pagination operations
Format | Description | Example |
---|---|---|
Orderby{thrift field names 123…} | By default, it is for field ascending. If a field has a descending requirement, add Desc after the field (only applicable to a single field, if there is a requirement for multiple descending fields, Desc needs to be added after each field), for example, OrderbyName (ascending) AgeDesc (descending) Entering parameters without passing values | FindUsernameOrderbyIdUsernameSkipLimitAll (including two fields “Id” and “Username”) |
Skip | Skip number of documents Enter an integer as an input parameter | FindUsernameOrderbyIdUsernameSkipLimitAll (Skip document) |
Limit | Limit the number of documents to be queried Single entity operations are not supported, Enter an integer as an input parameter | FindUsernameOrderbyIdUsernameSkipLimitAll (Limit the number of queried documents) |
Query Condition
Start with
By
orAll
, followedBy
specific query conditions, andAll
does not need to be followed by conditionsBy
must be followed by specific fields and comparison conditions. If necessary, useAnd
orOr
to identify the And Or condition and connect each field and comparison condition. When using theAnd
orOr
connector, if it is necessary to indicate query priority, useLb
orRb
to identify sub connection conditions. For example:ByLbLbUsernameEqualOrUsernameEqualRbAndAgeGreaterThanRb
==By((UsernameEqualOrUsernameEqual)AndAgeGreaterThan)
Grammar Format:
By{Field Name}{Query Condition}{And/Or}{Field Name}{Query Condition}
Compare Condition:
关键词 | Description | Input param value |
---|---|---|
Equal | Equal | The value of this field |
NotEqual | NotEqual | The value of this field |
LessThan | LessThan | The value of this field |
LessThanEqual | LessThanEqual | The value of this field |
GreaterThan | GreaterThan | The value of this field |
GreaterThanEqual | GreaterThanEqual | The value of this field |
Between | [a,b] | The value of this field |
NotBetween | <a && >b | The value of this field |
In | Field value within the slice range | slice |
NotIn | Field value is not within the slice range | slice |
True | Is the field value true | - |
False | Is the field value false | - |
Exists | Specify the document in which the field exists | - |
NotExists | Documents with specified fields that do not exist | - |
Update
The Update
operation includes two types: single entity and multiple entities, which are determined by the return value. The return value is bool, indicating whether the single entity operation is successful; The return value is int, which represents a multi entity operation and the number of successful updates.
The Update operation is divided into two types based on the perspective of updating objects:
Update the entire document(No field added after Update, structure pointer needs to be passed in);
Update some fields(Add a field name after Update and pass in the updated field value).
Function Naming: The first word is Update, followed by the following rules:
Update(Upsert){The name of the field to be updated, if not, it will be updated as the entire structure, and a structure pointer needs to be passed in}By{Query Condition}/All(No Query Condition)
The query conditions are the same as Find.
The update operation currently only supports the use of $set.
Input Params: The first parameter is fixed as ctx
, and the following parameters are passed in order based on the updated field name and comparison criteria.
Returns: Fix two, (bool or int, error(fix))
Delete
The Delete
operation includes two types: single entity and multiple entities, and the judgment method is the same as Update
.
Function Naming:
DeleteBy{Query Condition}/All(No Query Condition)
The query conditions are the same as Find
Input Params: The first parameter is fixed as ctx
, and the following parameters can be passed in order based on the comparison conditions.
Returns: Fix two, (bool or int, error(fix))
Count
Only multi entity operations.
Function Naming:
CountBy{Query Condition}/All(No Query Condition)
The query conditions are the same as Find.
Input Params: The first parameter is fixed as ctx
, and the following parameters can be passed in order based on the comparison conditions.
Returns: Fix (int, error)
Bulk
Bulk
supports Insert
, Update
, Delete
Operation
Among them, Insert only supports InsertOne, while the other two operations, One and Many are all supported.
Insert fixed write InsertOne, Update, Delete needs to specify whether it is a single entity operation or a multi entity operation, with One or Many added after it, Example: UpdateOne UpdateMany
Function Naming:
Bulk{Operation1, example InsertOne}{Operation2, example DeleteOneAll}
Input Params: The first one is fixed as ctx
, and the following parameters are passed in the order of the parameters passed in each operation.
Returns: Fix (*mongo.BulkWriteResult, error)
Transaction
Transaction
supports Insert
, Update
, Delete
, Bulk
operation, and support transaction operations for multiple collections.
Insert, Update, and Delete all support One Many, and it is necessary to specify whether a single entity operation or a multi entity operation is required, such as InsertOne and InsertMany; The bulk operation needs to be marked with Lb and Rb to start and end, for example:
BulkLbInsertOneUpdateManyByIdEqualRb
.
If using operations from other sets, you need to add the Collection keyword and the parameter’s camel hump naming capitalization before the Insert, Update, Delete, and Bulk operations, and pass in the corresponding collection parameters after the client in sequence (parameter naming requirements: camel hump naming, lowercase first letter)
For example: CollectionUserCollectionInsertMany
, input param: userCollection *mongo.Collection
; If the operation of this collection is used, there is no need to add Collection and related parameters.
Function Naming:
Transaction{Operation1, example CollectionUserCollectionInsertMany}{Operation2, example UpdateOneByAgeEqual}
Input Params: The first block is fixed as ctx
, the second block is fixed as client
, and the third block is fixed as other sets used. The following parameters are passed in the order in which they are passed in for each operation.
Returns: Fix error
Keywords
When naming structure fields, do not include the following keywords:
- Insert
- Find
- Update
- Delete
- Count
- Bulk
- Transaction
- Collection
- Lb
- Rb
- One
- Many
- By
- All
- Orderby
- Skip
- Limit
- Equal
- NotEqual
- LessThan
- LessThanEqual
- GreaterThan
- GreaterThanEqual
- Between
- NotBetween
- In
- NotIn
- True
- False
- Exists
- NotExists
Update
When there is an update to a field or function, the behavior of the tool is to compare the function name read in the annotation with the function name generated in the code file. If there is an annotation in the code file that is not present, append it after the file, and leave the rest unchanged.