Sql to mongo

Author: n | 2025-04-25

A mongo-like interface for sql generation, postgres-style. Latest version: 6.2.0, last published: 6 years ago. Start using mongo-sql in your project by running `npm i mongo-sql`. There are 45 other projects in the npm registry using mongo-sql. Convert SQL statement to mongo statement. Compatible with MySQL: use tidb sql parser to parse SQL. Convert SQL SELECT statement to mongo query statement. Precheck before

tsfans/sql-to-mongo: Convert SQL statement to mongo

Kubernetes cluster. Extension GA az aks check-network outbound Perform outbound network connectivity check for a node in a managed Kubernetes cluster. Extension GA az aks command See detail usage in 'az aks command invoke', 'az aks command result'. Core GA az aks command invoke Run a shell command (with kubectl, helm) on your aks cluster, support attaching files as well. Core GA az aks command result Fetch result from previously triggered 'aks command invoke'. Core GA az aks connection Commands to manage aks connections. Core and Extension Preview az aks connection create Create a connection between a aks and a target resource. Core and Extension Preview az aks connection create app-insights Create a aks connection to app-insights. Core Preview az aks connection create appconfig Create a aks connection to appconfig. Core Preview az aks connection create cognitiveservices Create a aks connection to cognitiveservices. Core Preview az aks connection create confluent-cloud Create a aks connection to confluent-cloud. Core Preview az aks connection create cosmos-cassandra Create a aks connection to cosmos-cassandra. Core Preview az aks connection create cosmos-gremlin Create a aks connection to cosmos-gremlin. Core Preview az aks connection create cosmos-mongo Create a aks connection to cosmos-mongo. Core Preview az aks connection create cosmos-sql Create a aks connection to cosmos-sql. Core Preview az aks connection create cosmos-table Create a aks connection to cosmos-table. Core Preview az aks connection create eventhub Create a aks connection to eventhub. Core Preview az aks connection create keyvault Create a aks connection to keyvault. Core Preview az aks connection create mysql Create a aks connection to mysql. Core Preview and Deprecated az aks connection create mysql-flexible Create a aks connection to mysql-flexible. Core Preview az aks connection create mysql-flexible (serviceconnector-passwordless extension) Create a aks connection to mysql-flexible. Extension GA az aks connection create postgres Create a aks connection to postgres. Core Preview and Deprecated az aks connection create postgres-flexible Create a aks connection to postgres-flexible. Core Preview az aks connection create postgres-flexible (serviceconnector-passwordless extension) Create a aks connection to postgres-flexible. Extension GA az aks connection create redis Create a aks connection to redis. Core Preview az aks connection create redis-enterprise Create a aks connection to redis-enterprise. Core Preview az aks connection create servicebus Create a aks connection to servicebus. Core Preview az aks connection create signalr Create a aks connection to signalr. Core Preview az aks connection create sql Create a aks connection to sql. Core Preview az aks connection create sql (serviceconnector-passwordless extension) Create a aks connection to sql. Extension GA az aks connection create storage-blob Create a aks connection to storage-blob. Core Preview az aks connection create storage-file Create a aks connection to storage-file. Core Preview az aks connection create storage-queue Create a aks connection To storage-queue. Core Preview az aks connection create storage-table Create a aks connection to storage-table. Core Preview az aks connection create webpubsub Create a aks connection to webpubsub. Core Preview az aks connection delete Delete a aks connection. Core Preview az aks connection list List connections of a aks. Core Preview az aks connection list-configuration List source configurations of a aks connection. Core Preview az aks connection list-support-types List client types and auth types supported by aks connections. Core Preview az aks connection show Get the details of a aks connection. Core Preview az aks connection update Update a aks connection. Core Preview az aks connection update app-insights Update a aks to app-insights connection. Core Preview az aks connection update appconfig Update a aks to appconfig connection. Core Preview az aks connection update cognitiveservices Update a aks to cognitiveservices connection. Core Preview az aks connection update confluent-cloud Update a aks to confluent-cloud connection. Core Preview az aks connection update cosmos-cassandra Update a aks to cosmos-cassandra connection. Core Preview az aks connection update cosmos-gremlin Update a aks to cosmos-gremlin connection. Core Preview az aks connection update cosmos-mongo Update a aks to cosmos-mongo connection. Core Preview az aks connection update cosmos-sql Update a aks to cosmos-sql connection. Core Preview az aks connection update cosmos-table Update a aks to cosmos-table connection. Core Preview az aks connection update eventhub Update a aks to eventhub connection. Core Preview az aks connection update keyvault Update a aks to keyvault connection. Core Preview az aks connection update mysql Update a aks to mysql connection. Core Preview and Deprecated az aks connection update mysql-flexible Update a aks to mysql-flexible connection. Core Preview az aks connection update postgres Update a aks to postgres connection. Core Preview and Deprecated az aks connection update postgres-flexible Update a aks to postgres-flexible connection. Core Preview az aks connection update redis Update a aks to redis connection. Core Preview az aks connection update redis-enterprise Update a aks to redis-enterprise connection. Core Preview az aks connection update servicebus Update a aks to servicebus connection. Core Preview az aks connection update signalr Update a aks to signalr connection. Core Preview az aks connection update sql Update a aks to sql connection. Core Preview az aks connection update storage-blob Update a aks to storage-blob connection. Core Preview az aks connection update storage-file Update a aks to storage-file connection. Core Preview az aks connection update storage-queue Update a aks to storage-queue connection. Core Preview az aks connection update storage-table Update a aks to storage-table connection. Core Preview az aks connection update webpubsub Update a aks to webpubsub connection. Core Preview az aks connection validate Validate a aks connection. Core Preview az aks connection wait Place the CLI in

tsfans/sql-to-mongo: Convert SQL statement to mongo statement. -

In MongoDB, to manipulate data or perform other operations, you write scripts for the mongo shell in JavaScript. For developers who query data primarily with SQL, it might be helpful to use SQL for MongoDB collections as well. PyCharm will translate your SQL queries to JavaScript.To see the JavaScript version of SQL, right-click a query and select Show JS Script.The current implementation supports SELECT queries and the following сlauses: JOIN, WHERE, GROUP BY, HAVING, ORDER BY, LIMIT, OFFSET.See the JavaScript translation for an SQL queryRight-click a query and select Show JS Script. To copy JavaScript code to the clipboard, click Copy JS Script to Clipboard.You can change and run the script from the JS Script Preview.Data typesPyCharm supports the following data types:String, Integer, Float, BooleanNULL, NAN, INFINITYArrays ([1, 2, 3]) and maps ({a: 1, b: 2, c: 3})Arrays and maps may include any expressions.SELECT [1, 3 + 1 - 2, price] AS elements FROM sales;SELECT {a: 1 + 2, b: NULL, c: FALSE, d: [1, 2]} FROM sales;You can use string literals in single or double quotation marks.Write column names without quotation marks or use a grave accent (`).SELECT _id, `acquisitions`, `category_code`, `description`, email_address, phone_numberFROM companies WHERE category_code = 'social'AND description = "Mobile Dating";Object constructorsYou can use the following object constructors: BinData, HexData, UUID, MD5, ObjectID, Date, ISODate, Code, DBRef, RegExp, NumberInt, NumberLong, NumberDecimal, Timestamp, MinKey, MaxKey.You may use or skip the new keyword. PyCharm will add the new keyword to the MongoDB query automatically. This feature does not apply to the Date object constructor because of the difference between Date() new Date(). Date() returns the current date as a string and new Date() as a Date object.If the function name is unknown, PyCharm searches for the new keyword before the function name. If the new keyword is present, the. A mongo-like interface for sql generation, postgres-style. Latest version: 6.2.0, last published: 6 years ago. Start using mongo-sql in your project by running `npm i mongo-sql`. There are 45 other projects in the npm registry using mongo-sql. Convert SQL statement to mongo statement. Compatible with MySQL: use tidb sql parser to parse SQL. Convert SQL SELECT statement to mongo query statement. Precheck before

GitHub - lineCode/sql-to-mongo: Converts SQL queries to Mongo

As compare two ER models. The ER modeler can also forward engineer models into databases. Thus, ER diagrams are converted into DDL or Data Definition Language scripts. Schema Comparison With SynchronizationThe database IDE provides compare and synchronization tools which enable users to identify the differences in DDL between two schema objects from different databases. Through the aid of a color-coded grid, they will be able to quickly view the differences between schema objects. Differences can be deployed from the source schema to the target schema, allowing synchronization between the two schemas. Additionally, the results of the schema comparison can be saved as an HTML report. Interactive Database ShellsAqua Data Studio is built with interactive database shells which make the administration of databases a breeze. One of these database shells is the FluidShell, a database shell which integrates the functionality of a Unix shell with the SQL command line. As a result, it enables users to automatically extract, transform, and load data from a single database shell. Another database shell included in Aqua Data Studio is the MongoShell. This is a JavaScript shell which also utilizes the versatility of the Unix shell and combines it with the native mongo command line. MongoShell is used for the administration and maintenance of MongoDB clusters.Integrated SQL DebuggersSumming it up, Aqua Data Studio offers integrated SQL debuggers for Oracle, IBM DB2 UDB, Microsoft SQL Server, and Sybase ASE. With these debuggers, users can debug stored procedures, functions, and packages. They will be able to easily assess the variables and conditional flows of codes by setting breakpoints and using stepping functionalities – step into, step over, and step return. Show More Keys: { a: 1 } }, { keys: { b: 2 }, options: { expire_after_seconds: 3600 } }])LinksMongo::CollectionGridFSrequire "cryomongo"client = Mongo::Client.newdatabase = client["database_name"]# A GridFS bucket belong to a database.gridfs = database.grid_fs# Uploadfile = File.new("file.txt")id = gridfs.upload_from_stream("file.txt", file)file.close# Downloadstream = IO::Memory.newgridfs.download_to_stream(id, stream)puts stream.rewind.gets_to_end# Findfiles = gridfs.find({ length: {"$gte": 5000},})files.each { |file| puts file.filename}# Deletegridfs.delete(id)# And many more methods… (check the link below.)LinksMongo::GridFS::BucketChange streamsrequire "cryomongo"# Change streams can watch a client, database or collection for change.# This code snippet will focus on watching a single collection.client = Mongo::Client.newcollection = client["database_name"]["collection_name"]spawn { cursor = collection.watch( [ {"$match": {"operationType": "insert"}}, ], max_await_time_ms: 10000 ) # cursor.of(BSON) converts fetched elements to the Mongo::ChangeStream::Document(BSON) type. cursor.of(BSON).each { |doc| puts doc.document_key puts doc.full_document.to_json }}100.times do |i| collection.insert_one({count: i})endsleepLinksMongo::ChangeStream::CursorMongo::ChangeStream::DocumentRaw commandsrequire "cryomongo"# Commands can be run on a client, database or collection depending on the command target.client = Mongo::Client.new# Call the `.command` method to run a command against the server.# The first argument is a `Mongo::Commands` sub-class, followed by the mandatory arguments# and finally an *options* named tuple containing the optional parameters in snake_case.result = client.command(Mongo::Commands::ServerStatus, options: { repl: 0})puts result.to_bson# The .command method can also be called against a Database…client["database"].command(Mongo::Commands::Create, name: "collection")client["database"].command(Mongo::Commands::Drop, name: "collection")# …or a Collection.client["database"]["collection"].command(Mongo::Commands::Validate)LinksMongo::CommandsMongo::Client#commandMongo::Database#commandMongo::Collection#commandConcerns and Preferencerequire "cryomongo"# Instantiate Read/Write Concerns and Preferenceread_concern = Mongo::ReadConcern.new(level: "majority")write_concern = Mongo::WriteConcern.new(w: 1, j: true)read_preference = Mongo::ReadPreference.new(mode: "primary")# They can be set at the client, database or client level…client = Mongo::Client.newdatabase = client["database_name"]collection = database["collection_name"]client.read_concern = read_concerndatabase.write_concern = write_concerncollection.read_preference = read_preference# …or by passing an extra argument when calling a method.collection.find( filter: { key: "value" }, read_concern: Mongo::ReadConcern.new(level: "local"), read_preference: Mongo::ReadPreference.new(mode: "secondary"))LinksMongo::ReadConcernMongo::WriteConcernMongo::ReadPreferenceCommands Monitoringrequire "cryomongo"client = Mongo::Client.new# A simple logging subscriber.subscription = client.subscribe_commands { |event| case event when Mongo::Monitoring::Commands::CommandStartedEvent Log.info { "COMMAND.#{event.command_name} #{event.address} STARTED: #{event.command.to_json}" } when Mongo::Monitoring::Commands::CommandSucceededEvent Log.info { "COMMAND.#{event.command_name} #{event.address} COMPLETED: #{event.reply.to_json} (#{event.duration}s)" } when Mongo::Monitoring::Commands::CommandFailedEvent Log.info { "COMMAND.#{event.command_name} #{event.address} FAILED: #{event.failure.inspect} (#{event.duration}s)" } end}# Make some queries…client["database_name"]["collection_name"].find({ hello: "world" })# …and eventually at some point, unsubscribe the logger.client.unsubscribe_commands(subscription)LinksMongo::Client#subscribe_commandsMongo::Client#unsubscribe_commandsMongo::Monitoring::ObservableMongo::Monitoring::CommandStartedEventMongo::Monitoring::CommandSucceededEventMongo::Monitoring::CommandFailedEventCausal Consistencyrequire "cryomongo"client = Mongo::Client.new# It is important to ensure that both read and writes are performed with "majority" concern.# See: = Mongo::ReadConcern.new(level: "majority")client.write_concern = Mongo::WriteConcern.new(w: "majority")# Reusing the original Mongodb example.# See: = Time.utcitems = client["test"]["items"]# MongoDB enables causal consistency in client sessions by default.# This is the block syntax that creates, ends and pass the session to collection methods automatically.items_collection.with_session do |items| # Using a causally consistent session ensures that the update occurs before the insert. items.update_one( { sku: "111", end: { "$exists": false } }, { "$set": { end: current_date }} ) items.insert_one({ sku: "nuts-111", name: "Pecans", start: current_date }) puts items.find.to_a.to_pretty_jsonendclient.closeLinksMongo::SessionMongo::Client#start_sessionMongo::Collection#with_sessionTransactions "[]" # 1. by calling the `with_transaction` method. # `with_transaction` will commit after the block ends. # if the block raises, the transaction will be aborted. session.with_transaction { collection.insert_one({_id: 1}) collection.insert_one({_id: 2}) } puts collection.find.to_a.to_json # => [{"_id":1},{"_id":2}] # The transaction below will be aborted because the block raises an Exception. begin session.with_transaction { collection.insert_one({_id: 3}) raise "Interrupted!" collection.insert_one({_id: 4}) } rescue e puts e # => Interrupted! end puts collection.find.to_a.to_json # => [{"_id":1},{"_id":2}] #

UnityJDBC - SQL To Mongo Translation

Visual Query Builder helps you build MongoDB queries by dragging and dropping fields from the documents in a collection, perfect if you’re new to MongoDB and learning the MongoDB query syntax. Download Studio 3T and try the MongoDB query builder.Open Visual Query Builder – Ctrl + B (⌘+ B)Run Query – Ctrl + R (⌘+ R)Switch to Tree View – Ctrl + Alt + 1 (⌥ + ⌘ + 1) Switch to Table View – Ctrl + Alt + 2 (⌥ + ⌘ + 2) Switch to JSON View – Ctrl + Alt + 3 (⌥ + ⌘ + 3) Visual Query Builder is just one of the ways of querying MongoDB in Studio 3T. Find out about our other tools AI Helper, IntelliShell, SQL Query, and Aggregation Editor in our Knowledge Base article How to Query MongoDB.BasicsVisual Query Builder is part of the Collection Tab, where you can view, query, and edit documents in a collection. You can drag and drop fields into Visual Query Builder to create a MongoDB query, and as you do this, you’ll see Studio 3T building the mongo shell syntax in the Query Bar.To open Visual Query Builder:Button – Click on the Visual Query Builder buttonRight-click – Right-click anywhere in the Result tab and choose Visual Query BuilderShortcut – Press Ctrl + B (⌘+ B)Click-and-drag – Click and drag any cell in the Result tab and Visual Query Builder automatically opensPrefer the mongo shell? Autocomplete queries with IntelliShell instead.Build the MongoDB queryLet’s build a query using Studio 3T’s MongoDB query builder and the Customers collection. You can download the zip file here, then import the JSON file to your MongoDB database.Drag and drop fieldsSelect the target field by clicking on any cell (not the header), then drag the selected field(s) and drop them into Visual Query Builder.In Table View, you can select only one field at a time.In Tree View, you can select multiple fields and drop them into Visual Query Builder. To do this, hold the CTRL key (or the command key) and click the fields.As you build your MongoDB query, you’ll see Studio 3T writing the mongo shell syntax in the Query Bar.Define operators and valuesTo filter the documents in the collection, define the required operators and values in the Query section and choose the fields you want to include in the Projection section.Query sectionThe Query section allows you to add the search conditions for the query. For each condition, you specify the field name, the operator, and the field value.By default, Visual Query Builder uses the $and operator, Match all ($and) to combine multiple conditions where all the conditions must be satisfied for a match.Select Match any ($or) to use the

Mongo DB Tutorial and Mapping of SQL and Mongo DB Query

I have a problem regarding to the Mongo client connections. I want to understand why is mongo opening new connections for the same client, the same query. I’m currently using PHP 5.6 with Mongo 3.6.17 and the mongo php driver is GitHub - mongodb/mongo-php-driver-legacy: Legacy MongoDB PHP driver.This is the Connect function:function Connect ($dbName, $dbURI){ if (!empty($this->connection)) { return; } else { $options = [ 'connect' => true, 'connectTimeoutMS' => 10000, ]; $mongo = new MongoClient( $dbURI, $options ); $this -> connection = $mongo -> $dbName;Note: Every time reloads the page that uses the MongoClient is opening a new connection, which is not what I want. I’d like to keep the same connection or when the user leaves the page Mongo can close that. Otherwise, I’ll end up with twice the number of connections from a single client. The following image demonstrates that 3161 connections opened, but having around 1000 users in the application doesn’t make sense for me. Andreas_Braun (Andreas Braun) April 29, 2021, 10:59am 2 You’ve asked the same question just a day ago (Need help with Mongo Client Connections and PHP 5.6). There’s no need to ask the same question multiple times - we’ll reply when we get to it.In your case, you are using the legacy MongoDB extension, which is no longer supported. If you are using PHP 5.6, there are older (now also unsupported) versions of the new driver available that also run on PHP 5.6. Please upgrade and see if that resolves your problem.. A mongo-like interface for sql generation, postgres-style. Latest version: 6.2.0, last published: 6 years ago. Start using mongo-sql in your project by running `npm i mongo-sql`. There are 45 other projects in the npm registry using mongo-sql. Convert SQL statement to mongo statement. Compatible with MySQL: use tidb sql parser to parse SQL. Convert SQL SELECT statement to mongo query statement. Precheck before

SQL To Mongo download, install sql to mongo.exe

DB API for Apache Cassandra table az cosmosdb copy create -g "rg1" --job-name "j1" --src-account "acc1" --dest-account "acc1" --src-cassandra keyspace=k1 table=t1 --dest-cassandra keyspace=k2 table=t2 Copy Azure Cosmos DB API for MongoDB collection az cosmosdb copy create -g "rg1" --job-name "j1" --src-account "acc1" --dest-account "acc1" --src-mongo database=d1 collection=c1 --dest-mongo database=d2 collection=c2 Copy Azure Cosmos DB API from MongoDB(RU) collection to Mongo(vCore) collection az cosmosdb copy create -g "rg1" --job-name "j1" --src-account "acc1" --src-mongo database=d1 collection=c1 --dest-mongo-vcore database=d2 collection=c2 connectionStringKeyVaultUri= Required Parameters Name of resource group. You can configure the default group using az configure --defaults group=. Name of the Azure Cosmos DB source database account. Optional Parameters Name of the Azure Cosmos DB destination database account. Destination table. Usage: --dest-cassandra keyspace=XX table=XX'keyspace: Keyspace name.table: Table name. Destination collection. Usage: --dest-mongo database=XX collection=XX'database: Database name.collection: Collection name. Destination Mongo(vCore) collection. Usage: --dest-mongo-vcore database=XX collection=XX connectionStringKeyVaultUri=XX'database: Database name.collection: Collection name.connectionStringKeyVaultUri: Link to Azure KeyVault secret containing connection string. Destination container. Usage: --dest-nosql database=XX container=XX'database: Database name.container: Container name. Name of the Data Transfer Job. A random job name will be generated if not passed. Copy Mode (Online / Offline). Source table. Usage: --src-cassandra keyspace=XX table=XX'keyspace: Keyspace name.table: Table name. Source collection. Usage: --src-mongo database=XX collection=XX'database: Database name.collection: Collection name. Source container. Usage: --src-nosql database=XX container=XX'database: Database name.container: Container name. Global Parameters Increase logging verbosity to show all debug logs. Show this help message and exit. Only show errors, suppressing warnings. Output format. Accepted values: json, jsonc, none, table, tsv, yaml, yamlc Name or