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[SQL Denali] 查詢效能的提升 Use Columnstore Index. Scalable Data Science with Hadoop Spark and R v1.2. Get started with ScaleR on Apache Spark. Overview This article introduces the ScaleR functions in a RevoScaleR package with Apache Spark (Spark) running on a Hadoop cluster.

Get started with ScaleR on Apache Spark

ScaleR functions offer scalable and extremely high performance data management, analysis, and visualization. Hadoop provides a distributed file system and a MapReduce framework for distributed computation. Spark is an open source big data processing framework. Advanced JSON Techniques in SQL Server 2016 - Part 3. By: Aaron Bertrand | Read Comments | Related Tips: More > SQL Server 2016 Problem In previous tips, Advanced JSON Techniques in SQL Server 2016 (Part 1 and Part 2), I gave examples of several JSON functions in SQL Server 2016, as well as how to create an index for efficient searching of text within a JSON document.

Advanced JSON Techniques in SQL Server 2016 - Part 3

In this tip, I want to show you a new keyword and a new function, both of which help to control JSON output. Solution WITHOUT _ARRAY_WRAPPER in JSON. Support, Functionality, and Limitations of JSON in SQL Server 2016. As JSON continues to increase in popularity, support from third-party products is burgeoning as well.

Support, Functionality, and Limitations of JSON in SQL Server 2016

According to the Microsoft team, JSON support was one of the most requested features on Microsoft connect prior to its official announcement. While some JSON functionality is available in SQL Server 2016, significant limitations may hamper development and storage efforts. The Basics of JSON JSON is a language-independent format to store objects in attribute-value pairs. Due to its compactness and flexibility, it is increasingly replacing XML.

Here’s a simple JSON example, taken from JSON.org. Menu is the schema at the root of the definition – typically, this entire representation would be referred to as the menu schema. Advanced JSON Techniques in SQL Server 2016 - Part 3. OneDrive.

Sql Server 2016 R Service

SQLFUNCTION. SQL Pivot with String. Different Types of SQL Server Functions. Posted By : Shailendra Chauhan, 19 Apr 2012 Updated On : 07 Apr 2014 Total Views : 200,950.

Different Types of SQL Server Functions

Tip of the Day. The SUBSTRING string function returns part of a character, binary, text or image expression.

Tip of the Day

The syntax of the SUBSTRING string function is as follows: SUBSTRING( <expression>, <start_position>, <length> ) The <expression> parameter is a character string, binary string, text, image, a column or an expression that includes a column. The <start_position> parameter is an integer that specifies where the substring starts and can be of BIGINT data type. The <length> parameter is a positive integer that specifies how many characters or bytes of the <expression> will be returned. SQL Split @ 學海無邊,書囊無底. 如何將逗號分隔的字串透過T-SQL回傳成一組DataSet呢。

SQL Split @ 學海無邊,書囊無底

例如輸入 Sandy,Marry,Dofi 一組字串時,回傳下列三筆資料 。 Sandy Marry Dofi. Exporting Query Results to CSV using SQLCMD. Social media is evolving at a rapid pace and every day I keep on getting question from different methods.

Exporting Query Results to CSV using SQLCMD

Here is the latest question which I received on my Facebook page. The question was how to export the data of query into CSV using SQLCMD. This is indeed very easy process and very simple command to export any query data. For example we will use AdventureWorks2012 database. Here is the query we will be using for our demonstration. USE AdventureWorks2012 GOSELECT TOP 10 sp.BusinessEntityID,sp.TerritoryID, sp.SalesQuota,sp.Bonus, sp.CommissionPctFROM Sales.SalesPerson sp GO.

SQL Server 2016 新功能搶先看 - Temporal Tables - TechNet Taiwan 官方部落格. SQL Server 2016 搶先看,這次要帶大家認識 Temporal Tables 新功能!

SQL Server 2016 新功能搶先看 - Temporal Tables - TechNet Taiwan 官方部落格

回顧系列專文: 本文將帶大家了解: 說明 以往在記錄資料異動前後的內容,可以自行撰寫 DML 觸發程序(Triggers)以便在資料發生新增、修改或刪除時,能夠將資料異動的歷程記錄下來,方便後續追蹤或是進行稽核。 除此之外,您也可以利用SQL Server 2008開始支援的異動資料擷取(Change Data Capture)功能,來自動化的記錄資料表的插入、更新和刪除活動。 設定SQL Server「錯誤記錄檔(Error log file)」的保存份數. Format Nested JSON Output with PATH Mode (SQL Server) Topic Status: Some information in this topic is preview and subject to change in future releases.

Format Nested JSON Output with PATH Mode (SQL Server)

Preview information describes new features or changes to existing features in Microsoft SQL Server 2016 Community Technology Preview 2 (CTP2). To maintain full control over the format of the JSON output, specify the PATH option with the FOR JSON clause. PATH mode lets you create wrapper objects and nest complex properties. Here is the syntax of the FOR JSON clause with the PATH option. Here are some examples of the FOR JSON clause with the PATH option. Queries that don't select rows from a table.

Use JSON output in SQL Server and in client apps (SQL Server) The following examples demonstrate some of the ways to use the FOR JSON clause or its output in SQL Server or in client apps.

Use JSON output in SQL Server and in client apps (SQL Server)

The output of the FOR JSON clause is of type NVARCHAR(MAX), so it can be assigned to any variable, as shown in the following example. DECLARE @x NVARCHAR(MAX) = (SELECT TOP 10 * FROM Sales.SalesOrderHeader FOR JSON AUTO) You can create user-defined functions that format result sets as JSON and return this JSON output. The following example creates a user-defined function that fetches some sales order detail rows and formats them as a JSON array. CREATE FUNCTION GetSalesOrderDetails(@salesOrderId int) RETURNS NVARCHAR(MAX) AS BEGIN RETURN (SELECT UnitPrice, OrderQty FROM Sales.SalesOrderDetail WHERE SalesOrderID = @salesOrderId FOR JSON AUTO) END. Format Query Results as JSON with FOR JSON (SQL Server) Topic Status: Some information in this topic is preview and subject to change in future releases. Preview information describes new features or changes to existing features in Microsoft SQL Server 2016 Community Technology Preview 2 (CTP2).

Format query results as JSON by adding the FOR JSON clause to a SELECT statement. Use the FOR JSON clause to delegate the formatting of JSON output from your client applications to SQL Server. For more info, see Use JSON output in SQL Server and in client apps (SQL Server). PATH mode example. SQL Server 2016 : JSON Support - SQL Sentry Team Blog. I was at MS Ignite last week, and attended the Foundational Keynote, entitled "The SQL Server Evolution. " In that session they announced a new feature that will be available in the next version of SQL Server (and that you will get to play with in some capacity when CTP2 is released later this year): JSON.

Yes, you read that right: JSON. I can't get into too many technical details just yet, and I'm not even sure how much functionality will actually be available in the forthcoming CTP, but I can share a little bit from what I've been able to play with so far. And I want to do that because, even though I don't have a direct need for JSON support myself, I've heard that as an argument against SQL Server a number of times (though it is often difficult to gauge how serious people are when they say that).

First of all, this is going to be standard functionality available in all editions, even Express. Making Data Analytics Simpler: SQL Server and R. R and SQL Server are a match made in heaven. You don't need anything special to get started beyond the basic instructions. Once you have jumped the hurdle of reliably and quickly transferring data between R and SQL Server you are ready to discover the power of a relational database when when combined with statistical computing and graphics. In this article I will describe a way to couple SQL Server together with R, and show how we can get a good set of data mining possibilities out of this fusion. First I will introduce R as a statistical / analytical language, then I will show how to get data from and to SQL Server, and lastly I will give a simple example of a data analysis with R.

將sql server database上傳到Azure SQL Database 的限制. Updated: January 20, 2015 This topic describes the Microsoft Azure SQL Database general guidelines and limitations. The general guidelines and limitations details are covered in the following headings: For information about security-related guidelines and limitations, see Azure SQL Database Security Guidelines and Limitations.

DTUs provide a way to describe the relative capacity of a performance level based on a blended measure of CPU, memory, reads, and writes. Each server has a maximum of 2000 DTUs for Basic, Standard, and Premium databases, in addition to the overall limit for databases per server and maximum size per database. Each server supports up to 150 databases, including the master database. In addition to limiting the number of databases per server, each service tier (edition) limits the maximum size of each database. SQL Server 2014 強化備份 / 還原功能,輕鬆與 Microsoft Azure Storage 無縫接軌. SQL Server 備份及還原與 Windows Azure Blob 儲存體服務. 本節內容: 安全性 安裝的必要條件 重要元件和概念簡介 Windows Azure Blob 儲存體服務. 如何利用 SQL Server 2014 將資料庫檔案存放於 Microsoft Azure Storage (上) VITO の SQL 學習筆記. ConnectionStrings.com - Forgot that connection string? Get it here! SQL Server Performance - SQL Server Performance Tuning. Sql server資料庫佈署到azure上的問題"Target string size is too small to represent the XML instance"

Azure如何匯入MDF檔案.