Plug the board into your computer. Windows will likely complain about the device not having the correct driver. It may attempt to find it. If you have never plugged in a similar device to your computer, it probably won't find a driver to use. Luckily, when you downloaded the Arduino IDE, it also came with all the necessary drivers. August 25, 2020 Paperless e – submission of Salary Bills for 45 departments has been enabled in SPARK August 17, 2020 Software option based on GO(P) No.101/2020/FIN dated on 4/8/2020 has been enabled.
ASIO4ALL is a free and alternative audio driver which allows its users to get very low latency from their sound adapter.
While most sound cards on the market allow you to playback audio without issue, ASIO4ALL provides a free alternative if you're having issues running software which increases latency on sound output.
It's a generic WDM driver that can be used in various situations, especially when you're using an older audio device or running an older version of Windows which doesn't include support for your audio driver.
ASIO4ALL is ideal for MIDI devices and provides installation without problems and requires no special knowledge or settings. Installation is pretty quick and straightforward. When you start ASIO4ALL, it will appear in the system tray where it can be accessed to manage the driver. Different options include latency in/out compensation, buffer offset and resample audio between 44.1kHz and 48kHz.
The WDM device list has controls for output and input including mix capture, speaker output, etc.
Overall, a great alternative for people experiencing issues when working with audio mixing and creation projects.
ASIO4ALL 2.14 on 32-bit and 64-bit PCs
This download is licensed as freeware for the Windows (32-bit and 64-bit) operating system on a laptop or desktop PC from drivers without restrictions. ASIO4ALL 2.14 is available to all software users as a free download for Windows.
Filed under:- ASIO4ALL Download
- Freeware Drivers
- Asio Driving Software
Spark 3.0.0 was release on 18th June 2020 with many new features. The highlights of features include adaptive query execution, dynamic partition pruning, ANSI SQL compliance, significant improvements in pandas APIs, new UI for structured streaming, up to 40x speedups for calling R user-defined functions, accelerator-aware scheduler and SQL reference documentation.
This article summarizes the steps to install Spark 3.0 on your Windows 10 environment.
Tools and Environment
- GIT Bash
- Command Prompt
- Windows 10
- Python
- Java JDK
Install Git Bash
Download the latest Git Bash tool from this page: https://git-scm.com/downloads.
Run the installation wizard to complete the installation.
Install Java JDK
Spark 3.0 runs on Java 8/11. You can install Java JDK 8 based on the following section.
If Java 8/11 is available in your system, you don't need install it again.
Install Python
Python is required for using PySpark. Follow these steps to install Python.
1) Download and install python from this web page: https://www.python.org/downloads/.
2) Verify installation by running the following command in Command Prompt or PowerShell:
The output looks like the following:
If python command cannot be directly invoked, please check PATH environment variable to make sure Python installation path is added:
For example, in my environment Python is installed at the following location:
Thus path C:UsersRaymondAppDataLocalProgramsPythonPython38-32 is added to PATH variable.
Spark Driver Download
Hadoop installation (optional)
To work with Hadoop, you can configure a Hadoop single node cluster following this article:
Download binary package
Go to the following site:
Select the package type accordingly. I already have Hadoop 3.3.0 installed in my system, thus I selected the following:
You can choose the package with pre-built for Hadoop 3.2 or later.
Save the latest binary to your local drive. In my case, I am saving the file to folder: F:big-data. If you are saving the file into a different location, remember to change the path in the following steps accordingly.
Unpack binary package
Open Git Bash, and change directory (cd) to the folder where you save the binary package and then unzip using the following commands:
Spark 3.0 files are now extracted to F:big-dataspark-3.0.0.
Setup environment variables
1) Setup JAVA_HOME variable.
Setup environment variable JAVA_HOME if it is not done yet. The variable value points to your Java JDK location.
2) Setup SPARK_HOME variable.
Setup SPARK_HOME environment variable with value of your spark installation directory.
3) Update PATH variable.
Added ‘%SPARK_HOME%bin’ to your PATH environment variable.
4) Configure Spark variable SPARK_DIST_CLASSPATH.
This is only required if you configure Spark with an existing Hadoop. If your package type already includes pre-built Hadoop libraries, you don't need to do this.
Run the following command in Command Prompt to find out existing Hadoop classpath:
Setup an environment variable SPARK_DIST_CLASSPATH accordingly using the output:
Config Spark default variables
Run the following command to create a default configuration file:
Open spark-defaults.conf file and add the following entries:
Now Spark is available to use.
Verify the installation
Let's run some verification to ensure the installation is completed without errors.
Verify spark-shell command
Run the following command in Command Prompt to verify the installation.
The screen should be similar to the following screenshot:
You can use Scala in this interactive window.
Run examples
Execute the following command in Command Prompt to run one example provided as part of Spark installation (class SparkPi with param 10).
%SPARK_HOME%binrun-example.cmd SparkPi 10
The output looks like the following:
PySpark interactive window
Run the following command to try PySpark:
Python in my environment is 3.8.2.
Try Spark SQL
Spark SQL interactive window can be run through this command:
As I have not configured Hive in my system, thus there will be error when I run the above command.
Spark context UI
When a Spark session is running, you can view the details through UI portal. As printed out in the interactive session window, Spark context Web UI available at http://localhost:4040. The URL is based on the Spark default configurations. The port number can change if the default port is used.
The following is a screenshot of the UI:
References
Spark For Windows 10
Spark developer tools
Refer to the following page if you are interested in any Spark developer tools.
Spark 3.0.0 overview
Spark Download For Windows 10
Refer to the official documentation about Spark 3.0.0 overview: http://spark.apache.org/docs/3.0.0/.
Spark 3.0.0 release notes
Install Spark Windows 10