#datetostring

[arshikasingh]

How to call JavaScript function in HTML?

Let us see an example on how to call JavaScript function in HTML:

[syncvewor]

Download mongodb 4.0

Download mongodb 4.0 how to#

Download mongodb 4.0 for mac os x#

Download mongodb 4.0 code#

The cursor.not(operator-expression) method performs a logical NOT operation on the specified “operator-expression” and selects the documents that do not match the “operator-expression”. MongoBooser integrates node-fetch to bring window.fetch to MongoDB Script.Ĭonsole.log( await( await(fetch( '')).text())) Ĭonsole.log( await( await(fetch( '')).json())) Minor Enhancement More Useful MongoDB Shell Extensions Global fetch() method

Download mongodb 4.0 how to#

Out of the box, Ctrl-Space, Alt-Space are acceptable triggers.Ĭlick here to learn how to use Node.js Modules in Your Script You can always manually trigger it with Ctrl-Shift-Space. The IntelliSense suggestions will pop up as you type and automatically complete Javascript method names, variables, etc. Within this release, MongoBooster also offers Intellisense experience for Node.js required packages. Intellisense for Node.js Required Packages The above example can be written with the MongoBooster await function. Note this await function is different from es7 await, this await function may be used in functions without the async keyword marked. It can await a promise or a promise array. Within this release, we have also added support for ES7 Async/Await in MongoBooster shell.Īs a comparison， MongoBooster has a build-in function await which is a common js method, not a keyword. See the features and SQL examples supported by the MongoBooster. Autocomplete for keywords, MongoDB collection names, field names and SQL functions.Provide a programming interface (mb.runSQLQuery) that can be integrated into your script.Aggregation Pipeline Operators as SQL Functions (dateToString, toUpper, split, substr…).SQL Functions (COUNT, SUM, MAX, MIN, AVG).Access data via SQL including WHERE filters, ORDER BY, GROUP BY, HAVING, DISTINCT, LIMIT.The Equivalent MongoDB Query can be viewed in console.log tab.Ĭlick here to learn how to run SQL SELECT Query against MongoDB SQL Query Features The SQL query is validated and translated into a MongoDB query and executed by MongoBooster. SQL features are not natively supported by MongoDB.If you want the results not to be edited directly, you can enable the “read-only” mode by clicking the lock button in the toolbar.Pressing shortcut “Esc” will return the previous value and exit the editor. Double-click on any value or array element to edit. MongoBooster supports in-place editing in result tree view.You can always manually trigger the auto-complete feature with Ctrl-Shift-Space. The IntelliSense suggestions will pop up as you type. The build-in SQL language service knows all possible completions, SQL functions, keywords, MongoDB collection names and field names.Just Click on the “console.log/print” tab to show the equivalent MongoDB query: Just type a snippet prefix “run”, and enter “tab” to insert this snippet, then press “Command-Enter” to execute it and get the result.

Download mongodb 4.0 code#

MongoBooster also offers a “runSQLQuery” code snippets. Open a shell tab, enter the above script. SELECT department, SUM(salary) AS total FROM employees GROUP BY department You can query MongoDB by using old SQL which you probably already know 1 Instead of writing the MongoDB query which is represented as a JSON-like structure 1 Let’s look at how to use the GROUP BY clause with the SUM function in SQL. SQL support includes functions, expressions, aggregation for collections with nested objects and arrays. With MongoBooster V4, you can run SQL SELECT Query against MongoDB.

Download mongodb 4.0 for mac os x#

This major upgrade includes Query MongoDB with SQL, ES7 Async/Await support and more.Īlthough we are showing screenshots of MongoBooster for Windows, all these new features are available for Mac OS X and Linux as well. Today, we are extremely pleased to announce the release of MongoBooster 4.0.

[fabianocatrinck]

Dica de Object Pascal (Delphi) #11 - Data por extenso

Dica de Object Pascal (Delphi) #11 – Data por extenso

Para exibir a data por extenso você não precisa de nada muito trabalhoso. Basta usar a função FormatDateTime: lDataPorExtenso := FormatDateTime('dd "de" mmmm "de" yyyy', DateToStr(edtData.Text)); No exemplo acima temos a variável lDataPorExtenso do tipo string e uma conversão simples de string para data no campo edtData. Por Fabiano Catrinck.

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Using $dateFromString and executionStats in Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Amazon DocumentDB makes it easy and intuitive to store, query, and index JSON data. If you are new to Amazon DocumentDB, see Ramping up on Amazon DocumentDB (with MongoDB compatibility). Amazon DocumentDB continues to improve compatibility with MongoDB. As of this writing, Amazon DocumentDB has added support for two new capabilities: $dateFromString, which is an aggregation pipeline operator that allows you to compose powerful aggregations over your documents executionStats mode for explain(), which provides detailed execution statistics for each stage within a query plan. For more information about supported MongoDB APIs and aggregation pipeline capabilities for Amazon DocumentDB, see Supported MongoDB APIs, Operations, and Data Types. This post discusses use cases for $dateFromString and executionStats, and shows you use to use these new capabilities through code examples. $dateFromString The $dateFromString aggregation operator enables you to convert a date in string form into a DATE data type. $dateFromString is the inverse operation of $dateToString. To understand how $dateFromString works, this post uses an example dataset that records the date and time of events that occur within a video game. Although the video game logs events as strings, your application must be able to analyze the event field as a DATE data type. To perform the conversion from string to date, use the $dateToString aggregation operator. Each document in the following example dataset is a record of a distinct event and time at which an event occurred within the video game: db.missionLog243.insertMany([ { _id: 1, "event":"missionStart", logDate: "2020-03-15T13:41:33"}, { _id: 2, "event":"jumpPoint1", logDate: "2020-03-15T13:45:34"}, { _id: 3, "event":"jumpPoint2", logDate: "2020-03-15T13:48:21"}, { _id: 4, "event":"jumpPoint3", logDate: "2020-03-15T13:52:09"}, { _id: 5, "event":"missionEnd", logDate: "2020-03-15T13:58:44"} ]) The following aggregation query projects the event field in its native String type, and converts the logDate field to a DATE data type, which subsequent stages in the aggregation pipeline can use: db.missionLog243.aggregate( [ { $project: { event: '$event', logDate: { $dateFromString: { dateString: '$logDate' } } } } ]) The following output is the result: { "_id" : 1, "event" : "missionStart", "logDate" : ISODate("2020-03-15T13:41:33Z") } { "_id" : 2, "event" : "jumpPoint1", "logDate" : ISODate("2020-03-15T13:45:34Z") } { "_id" : 3, "event" : "jumpPoint2", "logDate" : ISODate("2020-03-15T13:48:21Z") } { "_id" : 4, "event" : "jumpPoint3", "logDate" : ISODate("2020-03-15T13:52:09Z") } { "_id" : 5, "event" : "missionEnd", "logDate" : ISODate("2020-03-15T13:58:44Z") } The logDate field in the preceding output is represented as a DATE data type. executionStats When you investigate why a query is running more slowly than expected, you should understand the execution statistics for the selected query plan. The executionStats option to the explain command provides the number of documents returned from a particular stage (nReturned) and the amount of time spent executing each stage (executionTimeMillisEstimate). The output of executionStats helps identify the longest-running stages of a query, so you can optimize your queries and thus your application’s performance. Run the query that you want to improve under the explain command with the following command: db.col.find({<query document>}).explain("executionStats"); The following command is an example operation: db.fish.find({}).limit(2).explain("executionStats"); The output from this operation may look something like the following: { "queryPlanner" : { "plannerVersion" : 1, "namespace" : "test.fish", "winningPlan" : { "stage" : "SUBSCAN", "inputStage" : { "stage" : "LIMIT_SKIP", "inputStage" : { "stage" : "COLLSCAN" } } } }, "executionStats" : { "executionSuccess" : true, "executionTimeMillis" : "0.063", "planningTimeMillis" : "0.040", "executionStages" : { "stage" : "SUBSCAN", "nReturned" : "2", "executionTimeMillisEstimate" : "0.012", "inputStage" : { "stage" : "LIMIT_SKIP", "nReturned" : "2", "executionTimeMillisEstimate" : "0.005", "inputStage" : { "stage" : "COLLSCAN", "nReturned" : "2", "executionTimeMillisEstimate" : "0.005" } } } }, "serverInfo" : { "host" : "enginedemo", "port" : 27017, "version" : "3.6.0" }, "ok" : 1 } To show only executionStats from the preceding query, enter the following command: db.fish.find({}).limit(2).explain("executionStats").executionStats; For more information on troubleshooting and optimizing query performance, see Troubleshooting Amazon DocumentDB and Best Practices for Amazon DocumentDB. Summary AWS continues to work backward from our customers and build the capabilities you need. This post showed how to use the $dateFromString aggregation operator and executionStats to help build and optimize your applications. For more information, see Getting Started with Amazon DocumentDB, or watch the video Getting Started with Amazon DocumentDB on YouTube. You can use the same application code, drivers, and tools that you use with MongoDB today to start developing against Amazon DocumentDB. For more information about migrating to Amazon DocumentDB, see Migrating to Amazon DocumentDB and the video AWS re:Invent 2019: Migrating your databases to Amazon DocumentDB on YouTube.   About the Author   Joseph Idziorek is a Principal Product Manager at Amazon Web Services.       https://probdm.com/site/MTkzMDk

[arshikasingh]

Example of Java SimpleDateFormat

Following is the example of Java SimpleDateFormat: