You can load an entire database table into Stata or use SQL SELECT to just load specific columns from a table into Stata.
STATA 17 INSTALL
If your database vendor provides a JDBC driver, you can download and install that driver and then read from, write to, and execute SQL on your database via jdbc. What is great about – jdbc– is that it is a cross-platform solution, so our JDBC setup works the same way for Windows, Mac, and Unix systems. You can import data from some of the most popular database vendors, such as Oracle, MySQL, Amazon Redshift, Snowflake, Microsoft SQL Server, and many more. The new – jdbc– command supports the JDBC standard for exchanging data with relational databases or nonrelational database-management systems that have rectangular data.
![stata 17 stata 17](https://www.stata.com/why-use-stata/i/tertiary-ed.png)
JDBC is a cross-platform standard for exchanging data between programs and databases. Stata 17 adds support for JDBC (Java Database Connectivity). Stata bundles the Java Development Kit (JDK) with its installation, so there is no additional setup involved.Ĭonnecting Stata with databases is now even easier. The SFI package has classes to access Stata’s current dataset, frames, macros, scalars, matrices, value labels, characteristics, global Mata matrices, date and time values, and more. There is no need to use an external compiler! Additionally, the Stata Function Interface (SFI) Java package is included, providing a bidirectional connection between Stata and Java.
STATA 17 CODE
The Java code you write compiles on the fly.
![stata 17 stata 17](https://csc.co.id/wp-content/uploads/2021/04/did_spyder-1024x787.png)
Depending on what you need to do, you may even be able to write parallelised code to take advantage of multiple cores. There are also many useful third-party libraries available. One of Java’s strengths is in its extensive APIs that are packaged with the Java virtual machine. Now you can write your Java code in do-files or ado-files, or even invoke Java interactively (like JShell) from within Stata. Executing Java in a do-file gives you the freedom to execute Java code tied directly to your Stata code. You could already create and use Java plugins in previous versions of Stata, but that required you to compile your code and bundle it in a Jar file. In Stata 17, you can now embed and execute Java code directly in Stata. Stata commands using these Mata functions and operators, and the Mata functions and operators themselves, will automatically use the Intel MKL on compatible hardware. Mata functions and operators using MKL benefit greatly in terms of performance.Īnd most importantly, you do not need to do anything to take advantage of the speed gains. LAPACK backed by the Intel MKL provides the latest LAPACK routines heavily optimised for the 64-bit Intel x86-64 instruction set used by both modern Intel and modern AMD processors. Mata operators and functions (such as qrd(), lud(), and cholesky()) leverage LAPACK where possible for many numerical operations. LAPACK stands for Linear Algebra PACKage and is a freely available set of routines for solving systems of simultaneous equations, eigenvalue problems, and singular-value problems, among others. Stata 17 introduces usage of the Intel Math Kernel Library (MKL) on compatible hardware (all Intel- and AMD-based 64-bit computers), providing deeply optimised LAPACK routines.
STATA 17 MAC
Intel Mac users should note that we will continue to support and release new versions of Stata for Macs with Intel processors for years to come. Stata functions the same way whether you are running Stata natively on an M1 Mac or on an Intel Mac, and no special licence is required for the M1 Mac.
STATA 17 SOFTWARE
They even greatly outperform or perform as well as Intel Macs that cost more than twice as much! And for users who insist on only Apple-Silicon-native software on their Apple Silicon Macs, you will be happy to know that no part of Stata 17, from the installer to the application itself, requires the use of Rosetta 2. This is noteworthy to our Stata-for-Mac users, many of whom use Mac laptops.Īlthough this first set of M1 Macs is considered to be an entry-level set, we have found that M1 Macs natively running Stata outperform Intel Macs by 30–35%. The M1 chip promises greater performance and greater power efficiency. Macs with Apple Silicon include the new MacBook Air, MacBook Pro, and Mac mini, all with M1 processors.
STATA 17 FOR MAC
Stata 17 for Mac is available as a universal application that will run natively on both Macs with Apple Silicon and Macs with Intel processors.