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Navicat Premium 15.0.2 Beta. Navicat Premium是一个数据库开发工具,可让您从单个应用程序同时连接到MySQL,MariaDB,MongoDB,SQL Server,Oracle,PostgreSQL和SQLite数据库。与Amazon RDS,Amazon Aurora,Amazon Redshift,Microsoft Azure,Oracle Cloud,Google Cloud和MongoDB Atlas等云数据库兼容。. Navicat is a series of graphical database management and development software produced by CyberTech Ltd. For MySQL, MariaDB, MongoDB, Oracle, SQLite, PostgreSQL and Microsoft SQL Server.It has an Explorer-like graphical user interface and supports multiple database connections for local and remote databases. Its design is made to meet the needs of a variety of audiences, from database.
by Robert GravelleThe Navicat team is proud to announce the launch of Navicat Monitor 1.8. This minor update adds a couple of exciting features:
- The dashboard adds a compact view.
- Support for the Slack collaboration hub, so now you can get notifications via Slack whenever a warning or critical condition occurs in your infrastructure.
Today's blog examines both features and describes how to download the new version.
The dashboard was designed to allow the monitoring of several of database instances at a glance. It presents an easy to read, one page summary of the real-time analytics related to the health and performance of all your instances. Moreover, you can customize the dashboard for your preferred server metrics to get a global view of each instance, as well as apply instance grouping to allow smooth navigation between each of them.
The new Compact View presents a more streamlined set of data cards about each instance, allowing you to include hundreds of database instances within a single screen!
Slack is a collaboration hub that connects members of an organization to help get work done within a team environment. The Slack platform includes notifications for things that need your attention. Notifications are received whether you're using Slack on your desktop or from your mobile device.
Using Navicat Monitor, DBAs may now choose to receive alerts via Slack, in addition to email, SMS, and SNMP, if they so choose.
You'll find the Slack option grouped with the other notification settings on the Alert Policy Details screen. Here's how to get there:
- The Configurations < Alert Policy screen contains a list of metrics to alert users about. Alert types are grouped by System Alerts, Security Alerts, and Performance Alerts:
- Clicking an alert brings up the Alert Policy for that metric:
- The Notification Settings are located at the bottom of the page. These include when to send notification, how to send them, and to whom.
The new version of Navicat Monitor is available for download on the Navicat site. Installation options run the gamut from Windows, macOS, macOS Homebrew, Linux, Linux Repos, Docker, to FreeBSD. You also have the option of selecting either an online or offline installer.
You can learn more about Navicat Monitor on the product page. The Discover Navicat Monitor page has even more details.
Feb 13, 2019 by Robert Gravelle![Navicat Navicat](https://macdownload.org/wp-content/uploads/screenshot/Navicat-Premium5-700x500.jpg)
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As the name implies, Relational Databases (RDBMSes) maintain relationships between the tables to organize the data together in meaningful ways. Document databases such as MongoDB are sometimes called 'schema-less' due to the fact that they don't really enforce relationships like RDBMSes do. However, while document databases don't require the same predefined structure as a relational database, that doesn't mean that they don't support it. In fact, MongoDB allows relationships between documents to be modeled via Embedded and Referenced approaches. In today's blog, we'll give each a try using Navicat for MongoDB.
As an example, we'll consider the use case of the ACME corporation. They need to store the addresses in such a way as to link them to employees. One employee can have multiple addresses, making this a one-to-many (1:N) relationship. That's no problem, as relationships in MongoDB can be any of one-to-one (1:1), one-to-many (1:N), many-to-one (N:1) or many-to-many (N:N), just as in relational databases.
Here is the document structure of the employees document in Navicat's JSON view:
And here are is the addresses document:
Using the embedded approach, we would embed the addresses document directly inside the employees document. Uninstallpkg 1 0 20 download free. We can easily do that in Navicat for MongoDB as follows:
- Open the addresses collection in JSON view and copy the last two documents:
- Switch to the employees collection and edit the first document:
- Paste the addresses into the employee document that you want to associate them with and enclose them within a 'address' array element:
Pros and Cons
This approach maintains all the related data in a single document, which makes it easy to retrieve and maintain. The whole document can now be retrieved in a single query:
The drawback to Embedded Relationships is that if the embedded document keeps on growing too much in size, it can negatively impact read/write performance.
Using this approach, both the employee and address documents would be maintained separately, but the employees document would contain a field that references the address document's id field:
As shown above, the employee document contains the array field 'address_ids' which contains ObjectIds of corresponding addresses. Using these ObjectIds, we can query the address documents and get address details from there.
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Although this approach keeps document sizes to a more manageable size, we now need two queries to fetch address details: one to retrieve the address_ids fields from employees document and another to fetch the addresses from the addresses collection:
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var result = db.employees.findOne({'name':'Tom Smith'},{'address_ids':1})
var addresses = db.addresses.find({'_id':{'$in':result['address_ids']}})
var addresses = db.addresses.find({'_id':{'$in':result['address_ids']}})
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In the next blog, we'll learn how to use MongoDB Referenced Relationships (also referred to as Manual References) and DBRefs in Navicat for MongoDB. You can learn more about it on the product page. You can download the fully functional application and use it FREE for a fourteen day trial period!