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SQL Console (MongoDB)

This article introduces how to use the SQL Console to manage a MongoDB database.

Background Information

MongoDB is an open-source NoSQL database management system that stores data in the form of documents. It features scalability, high performance, high availability, and support for multiple programming languages. MongoDB has become a very popular NoSQL database, providing convenience for enterprises to store and process large amounts of unstructured data.

NineData's SQL Console functionality supports the management of MongoDB data sources. Through the SQL Console, you can easily manage enterprise data in a visual way, significantly reducing the operational threshold. Additionally, the SQL Console provides a range of enterprise-level capabilities, including team collaboration, permission control, audit logs, single sign-on (SSO), SQL development standards, approval processes, and more, enhancing team collaboration efficiency and data management standardization.

Feature Overview

NineData's SQL Console (MongoDB) offers several convenient features to help you easily manage your data sources.

Feature
Description
Visual ManagementSupports performing CRUD (Create, Read, Update, Delete) operations on MongoDB databases in a visual way.
EditorProvides a command-line mode supporting powerful MongoDB commands and options to meet various needs.
Workspace RecoveryIn scenarios like accidental browser exits or sudden crashes, you can simply log back into the NineData console, open the SQL Console, and the previously opened data sources and executed commands will be automatically loaded. Since the page state is saved in the cloud, it's not restricted by the browser or host, allowing you to recover your workspace anytime, anywhere.
Execution History records all commands executed by the current account in the NineData console, supporting quick retrieval based on data source, execution time, command keywords, and more. You can also quickly copy and re-execute commands from the execution history.
SQL Standards CheckingIn organizational modeOrganizational mode supports assigning different roles and resource management permissions to each user in the organization. It is suitable for collaborative development with multiple users within the same organization, ensuring data security and improving overall productivity., based on the SQL development standards configured by , the system will check every command executed in the SQL Console. If a command does not comply with the standards, the system will intercept it to ensure database security.

Use Cases

NineData's SQL Console (MongoDB) is suitable for the following use cases:

  • Developers: During development, developers can use the SQL Console to manage and edit data in MongoDB databases for faster and more efficient application development.
  • Database Administrators: Assist database administrators in managing MongoDB databases more easily, such as adding, editing, and deleting data.
  • Operations Personnel: Help operations personnel quickly monitor and analyze the performance and running status of MongoDB databases to promptly detect and resolve issues.

Prerequisites

  • The target database to be managed has been added to NineData. For instructions on how to add, refer to Managing Data Sources.

  • The data source must be MongoDB version 3.2 or higher.

  • In the organizational mode (), you must have read-only, DML, or DDL permissions for the target data source.

    tip

    Read-only permission supports query operations only.

  • In the commercial versions (, ), please ensure that your monthly/yearly subscription is not expired, as it may result in the inability to use the Database DevOpsservice. You can quickly check the remaining quota and expiration date at the top right corner of the NineData console page.

    check_quota

Operating Steps

  1. Log in to the NineData Console.

  2. Click and then in the left navigation bar.

    tip

    If you have previously logged in to a data source and haven't closed it, you will be automatically directed to that data source page.

  3. Click below , and a pop-up will display your added data sources. Click the target data source and then click to go to the SQL Console.

    tip
    If you haven't created Data Source before, a blank page will be displayed. In this case, please click on on the page.

    If you have multiple data sources, you can enter keywords in the box to perform precise or fuzzy searches. The supported search fields include:

    • Data source name
    • IP address
  4. After opening the SQL Console, you can perform SQL development operations on the data source. For detailed usage of the SQL Console, please refer to the Interface Explanation.

Interface Explanation

mongo_interface

Number
Function
Description
1SQL Console TabRepresents the currently open data source SQL Console. Multiple SQL Consoles can be switched by clicking the tabs. Click the X on the right of a tab to close the SQL Console. Right-click menu supports the following actions:
  • : Open the current data source details window.
  • : Open a new data source SQL Console.
  • : Close the current tab.
2Open Data SourceChoose and open a new data source SQL Console.
3Data Source InformationDisplays the data source information of the current SQL Console, including environment, IP address, and port. Click the info icon on the right to view details of the current data source.
Right-click menu:
  • : Display detailed information of the current data source, including username, connection address, server version, etc.
  • : Refresh data source information.
4Favorite|Refresh
  • Favorite: Clicking the favorite icon adds the current data source to , allowing for quick selection in a new SQL Console after addition.
  • Refresh: Refresh the data in the current data source.
5SearchEnter the collection name to quickly find the target collection. Supports searching by the complete collection name for precise search or by a partial collection name with an asterisk (*) for fuzzy search.
6Function Buttons
  • thread: Display information about all active connections on the current database server and the queries being executed by these connections.
  • table: Switch to visualization mode.
  • codefill: Switch to editor mode.
  • expend: Display the SQL Console in full-screen mode (browser size). After going full screen, click the compress icon in the top right corner to restore to the original SQL Console size.
7Database ListDisplays all databases, collections, indexes, and other information in the current data source in a tree-like structure. Hover over the info icon next to a target database, collection, index, or view to display detailed information.
Common Right-Click Menu
  • : Open a new SQL Console tab.
  • : Refresh the database list.
Database Right-Click Menu
  • : View detailed information of the target database, including the number of collections, views, indexes, documents, and the sizes of each object.
  • : Create a database; you need to input both the database name and collection name when creating.
  • : Delete the target database.
  • : Create a collection in the target database.
Collection Right-Click Menu
  • : Create a collection in the target database.
  • : Rename the target collection.
  • : Clear all documents in the target collection.
  • : Delete the target collection.
  • : Create an index in the target collection. For more information, refer to creating an index.
Index Right-Click Menu
  • : Create an index in the target collection. For more information, refer to creating an index.
  • : Delete the target index.
View Right-Click Menu
  • : Rename the target view.
  • : Delete the target view.
8Select DatabaseVisually select the target database to operate on.
9View/Edit DataClick on a collection in the left-side database list to display all documents in that collection here.
Here, you can perform the following actions:
  • Search Documents: Supports precise and fuzzy search of documents in the collection using the search box at the top of the page.
    • Precise search: {<field_name>:<value>}
    • Fuzzy search: {<field_name>:{$regex:<value>}}
    Values of String type need to be enclosed in double quotes ("").
  • : Click on to provide more conditions for custom search next to the search box. For more information, please refer to Advanced Search.
  • : MongoDB query optimizer generates a query execution plan based on the content in the search box to determine the optimal way of querying and executing strategy. The execution plan describes how MongoDB executes the query and accesses the data in the database.
  • : Insert single or multiple documents in the current collection. During insertion, use the <field_name>:<value> format within curly braces ({}), and separate multiple fields with commas (,). When inserting a value of String type, wrap the value in double quotes (""), for example: {name:"zhangsan"}.
  • Switch Data Display: Click on the icon for the display mode to switch data display in real-time.
    • table: Display data in tabular form.
    • list02: Display data in list form.
    • json02: Display data in JSON format.
  • Edit Document: Edit documents in a visual format. For more information, please refer to Edit Documents.
  • Copy Document: Click on ellipsis on the right of the target document in the column, and then click (click directly under JSON) to copy the document as a JSON array.
  • Clone Document: Click on ellipsis on the right of the target document in the column, and then click (click directly under JSON) to clone a document identical to the target document.
  • Delete Document: Click on ellipsis on the right of the target document in the column, and then click (click directly under JSON) to delete the target document.
  • Refresh Page: Click on in the upper right corner of the page to refresh the page.
  • : Click on in the upper right corner of the page to delete the current collection.
  • Command Line Editor

mongo_command_line

Number
Function
Description
1SQL Console TabRepresents the currently open data source SQL Console. Multiple SQL Consoles can be switched by clicking the tabs. Click the X on the right of a tab to close the SQL Console. Right-click menu supports the following actions:
  • : Open the current data source details window.
  • : Open a new data source SQL Console.
  • : Close the current tab.
2Open Data SourceChoose and open a new data source SQL Console.
3Data Source InformationDisplays the data source information of the current SQL Console, including environment, IP address, and port. Click the info icon (info) on the right to view details of the current data source.
Right-click menu:
  • : Display detailed information of the current data source, including username, connection address, server version, etc.
  • : Refresh data source information.
4Favorite|Refresh
  • Favorite: Clicking the favorite icon adds the current data source to , allowing for quick selection in a new SQL Console after addition.
  • Refresh: Refresh the data in the current data source.
5Select DatabaseVisually select the target database to operate on.
6Function Buttons
  • execute: Execute the selected SQL statement.
  • plan: : View the execution plan of the selected SQL statement.
  • collect: : Save all commands in the current SQL Console to favorites for easy access next time.
  • sqlfile: : View saved commands. You can insert the target command into the current SQL Console. Additionally, you can or the target command.
  • sqlhistory: : View the command execution history of the target data source. You can choose to filter out the execution history of a certain time period or search the execution history by keywords (command itself, database name, error message).
  • setting02:
    • : Choose or .
      • (default): The new result set will overwrite the previous execution result.
      • : Generate a new tab to display the new result set.
    • : Change the theme of the SQL Console, choose between and .
    • : Drag the slider to adjust the font size of SQL statements in the SQL Console. The default values are as follows:
      • Windows: 16
      • MacOS: 13
  • thread: : Display information about all active connections on the current database server and the queries being executed by these connections.
  • admin: | Only can operate. After enabling this mode, all commands executed in the SQL Console are not subject to standardization or approval flows and can be executed directly.
  • table: Switch to visual mode.
  • codefill: Switch to editor mode.
  • expend: Display the SQL Console in full screen (browser size). After going full screen, click compress to restore the original SQL Console size.
7SearchEnter the collection name to quickly find the target collection. Supports searching by the complete collection name for precise search or by a partial collection name with an asterisk (*) for fuzzy search.
8Database ListDisplays all databases, collections, indexes, and other information in the current data source in a tree-like structure. Hover over the info icon (info) next to a target database, collection, index, or view to display detailed information.
Common Right-Click Menu
  • : Open a new SQL Console tab.
  • : Refresh the database list.
Database Right-Click Menu
  • : View detailed information of the target database, including the number of collections, views, indexes, documents, and the sizes of each object.
  • : Create a database; you need to input both the database name and collection name when creating.
  • : Delete the target database.
  • : Create a collection in the target database.
Collection Right-Click Menu
  • : Create a collection in the target database.
  • : Rename the target collection.
  • : Clear all documents in the target collection.
  • : Delete the target collection.
  • : Create an index in the target collection. For more information, refer to Create Index.
Index Right-Click Menu
  • : Create an index in the target collection. For more information, refer to Create Index.
  • : Delete the target index.
View Right-Click Menu
  • : Rename the target view.
  • : Delete the target view.
9Command Line WindowThe window for executing MongoDB commands. The command line window supports the following features:
  • Execute MongoDB commands: Supports executing single or multiple commands.
  • Syntax highlighting: Displays different syntax elements in different colors to improve code readability.
  • Interrupt execution: Can click Stop Query to interrupt command execution.
  • Command auto-suggestions: Automatically pops up suggestions based on the semantics you input.
  • Right-click menu:
    • : Execute the SQL statement at the cursor position.
    • : View the execution plan of the selected SQL statement.
    • : Save all commands in the current SQL Concosle to favorites for easy access next time.
    • : View saved commands. You can insert the target command into the current SQL Console. Additionally, you can or the target command.
    • : View the command execution history of the target data source. You can choose to filter out the execution history of a certain time period or search the execution history by keywords (SQL statement, database name, error message).
    • : Display information about all active connections on the current database server and the queries being executed by these connections.
    • General Operations: Including , , , and .
    • : Select the SQL statement at the cursor position.
10Execution Information, Result SetDisplays the execution information of the command and the result set.
  • Execution Information: Includes execution time, executed command, execution status, execution details, etc.
  • Result Set: Displays the returned results of the command. You can also:
    • Search the result set, supporting and .
    • Click the icons below to switch the result set display mode:
      • json02 (default): Display data in JSON format.
      • table: Display data in a table format.
      • list02: Display data in a list format.
    • In the JSON result set, click to copy the entire result set.
    • Hover over a target result set tab to show the command corresponding to that result set.

The SQL Console (MongoDB) supports performing advanced searches on target collections with the following parameters:

  • Project: Perform projection on search results, allowing you to output only the desired fields or calculated results. Through Project, you can rename, add new fields, delete fields, and customize the structure of the output results. For example, {name:1} means to display only the name field in the search results. For more information, refer to Aggregation Pipeline Optimization.
  • Sort: Sort the search results. It allows sorting in ascending or descending order based on specified fields. Multiple sort fields can be specified, and indexes can be used to improve sorting performance. For example, {age:1} means sorting the search results by age in ascending order, and {age:-1} means sorting by age in descending order. For more information, refer to Aggregation Pipeline Optimization.
  • Collation: Specify the sorting rules for search results to differentiate between case, multilingual sorting, specific sorting rules, etc. This allows finer control over the sorting results of strings. For example, {locale:"en"} means the search results will be sorted according to English sorting rules. For more information, refer to Collation.
  • Skip: Skip a specified number of documents and return the remaining documents, achieving pagination or skipping unwanted documents. For example, entering the integer 10 will skip the first 10 search results and start displaying from the 11th result.
  • Limit: Limit the number of returned documents. For example, entering the integer 10 will only return 10 search results.

Document Editing Instructions

Through the SQL Console (MongoDB), you can visually edit documents in various modes:

  • tableTable Mode: Click the in the column on the right of the target document to directly edit the values of the corresponding fields. You can also click the tableedit icon on the right of the target field to edit the value in the Value text box and click . After editing, click at the bottom of the page to complete the changes.
  • list02List Mode: Click the in the column on the right of the target document. Then, click the tableedit icon on the right of the Value column of the document, edit in the Value text box, supporting changes to field names and values, and add new fields. Then, click . After editing, click at the bottom of the page to complete the changes.
  • json02JSON Mode: Edit directly in the JSON string. You can change field names and values and add new fields. After editing, click at the bottom of the page to complete the changes.

Creating an Index

  1. In the database list on the left side of the SQL Console, find the target collection, right-click on the collection, and click .

  2. Configure according to the table below:

    Parameter
    Description
    Enter the name of the index. Please follow naming conventions for index names.
    FieldSelect the field(s) to index. Click Add to add a row and index multiple fields.
    TypeSelect the index type. Supported types are:
    • Ascending Index: Sort the indexed field in ascending order.
    • Descending Index: Sort the indexed field in descending order.
    • Hashed Index: Hash the values of the indexed field and index by the hash value. This index is useful for quick searches in evenly distributed data but does not support range queries.
    • Text Index: Used for full-text searches on text data. Supports keyword searches and sorting on text fields.
    • 2dsphere Index: Used for storing geospatial data (longitude, latitude). Supports geospatial queries and indexing, such as distance calculation and range queries.
    • 2d Index: Used for storing geospatial data on a plane (x, y coordinates). Supports queries and indexing on the plane's geospatial data.
    • GeoHaystack Index: Used to optimize nearby geospatial location queries. Suitable for scenarios with a large amount of geospatial location data.
    Additional ConfigurationsChoose additional index configurations:
    • Background (selected by default): Specify whether to create the index in the background. For large collections, not selecting this option may block the instance.
    • Unique: Specify whether the index requires unique values. Selecting this option ensures that the values of the indexed field are unique in the collection.
    • Sparse: Specify whether to create a sparse index. When selected, the index is created only for documents that contain the target field; documents without this field are ignored. Using a sparse index can save index storage space.
    • Expire after: Used to create an index with a TTL (Time to Live). This option allows you to specify an automatic deletion time for documents in the collection, in seconds.
    PreviewVisualize the index creation actions into actual MongoDB commands, making the entire index creation process more intuitive.
  3. Click .

Appendix: List of Commands Supported by MongoDB Command Line Editor

MethodSyntax
aggregate()db.<collection name>.aggregate()
bulkWrite()db.<collection name>.bulkWrite()
compactStructuredEncryptionData()db.<collection name>.compactStructuredEncryptionData()
countDocuments()db.<collection name>.countDocuments()
createIndex()db.<collection name>.createIndex()
createIndexes()db.<collection name>.createIndexes()
dataSize()db.<collection name>.dataSize()
deleteOne()db.<collection name>.deleteOne()
deleteMany()db.<collection name>.deleteMany()
distinct()db.<collection name>.distinct()
drop()db.<collection name>.drop()
dropIndex()db.<collection name>.dropIndex()
dropIndexes()db.<collection name>.dropIndexes()
estimatedDocumentCount()db.<collection name>.estimatedDocumentCount()
explain()db.<collection name>.explain()
find()db.<collection name>.find()
findAndModify()db.<collection name>.findAndModify()
findOne()db.<collection name>.findOne()
findOneAndDelete()db.<collection name>.findOneAndDelete()
findOneAndReplace()db.<collection name>.findOneAndReplace()
findOneAndUpdate()db.<collection name>.findOneAndUpdate()
getIndexes()db.<collection name>.getIndexes()
getShardDistribution()db.<collection name>.getShardDistribution()
getShardVersion()db.<collection name>.getShardVersion()
hideIndex()db.<collection name>.hideIndex()
insertOne()db.<collection name>.insertOne()
insertMany()db.<collection name>.insertMany()
isCapped()db.<collection name>.isCapped()
latencyStats()db.<collection name>.latencyStats()
mapReduce()db.<collection name>.mapReduce()
reIndex()db.<collection name>.reIndex()
remove()db.<collection name>.remove()
renameCollection()db.<collection name>.renameCollection()
replaceOne()db.<collection name>.replaceOne()
stats()db.<collection name>.stats()
storageSize()db.<collection name>.storageSize()
totalIndexSize()db.<collection name>.totalIndexSize()
totalSize()db.<collection name>.totalSize()
unhideIndex()db.<collection name>.unhideIndex()
updateOne()db.<collection name>.updateOne()
updateMany()db.<collection name>.updateMany()
validate()db.<collection name>.validate()