- Spark
- Love your email again
- Take control of your inbox
- Focus on important emails
- Distraction-free email
- Gain Email Superpowers
- Spark for Teams
- Shared Inboxes
- Create email together
- Discuss email privately
- Email Templates for Teams
- Secure and private email
- The Future of Email
- Spark Installation on Linux Ubuntu
- Prerequisites:
- Java Installation On Ubuntu
- Python Installation On Ubuntu
- Apache Spark Installation on Ubuntu
- Spark Environment Variables
- Test Spark Installation on Ubuntu
- Spark Shell
- Spark Web UI
- Spark History server
- Conclusion
Spark
Love your email again
The best personal email client. Revolutionary email for teams.
Available on:
Take control of your inbox
Intelligent email prioritization, noise reduction, and the most advanced email tools at your disposal.
Reach Inbox Zero for the first time.
Focus on important emails
Spark intelligently prioritizes your email. It bubbles important messages from real people to the top. Pin and reply to those, and batch archive the rest.
Available on:
Distraction-free email
Spark reduces the noise by only notifying you about emails from people that you know. Reclaim your space for creativity and get peace of mind.
Available on:
Gain Email Superpowers
Fly through your inbox using cutting-edge email tools and reach Inbox Zero for the first time.
Send email later
Follow up reminders
Spark is a fast, smart way to manage your email.
Spark for Teams
A revolutionary collaborative experience in your Inbox
We do our best work as part of a team. Spark allows you to create, discuss, and share email
with your colleagues. Take your team collaboration to the next level.
Shared Inboxes
Handle an inbox together with your team. Perfect for info@, support@, contact@, or sales@.
Create email together
Collaborate with your teammates using real-time editor to compose professional emails.
It’s also customizable and has a design that’s both minimalist and fresh — not an easy feat for an email app.
Discuss email privately
Invite teammates to discuss specific email and threads. Ask questions, get answers, and keep everyone in the loop.
The new Spark feels like the first product that may finally solve email communication and assignments for the MacStories team.
Email Templates for Teams
Save time when you regularly send similar email messages to people. Use templates yourself and share with the team.
Secure and private email
We believe privacy is a fundamental human right. That’s why at Spark, we don’t sell or unlawfully share your personal data with third parties. Spark is free for individual users, yet it makes money by offering Premium plans for teams.
Spark is fully GDPR compliant, and to make everything as safe as possible, we encrypt all your data and rely on the secure cloud infrastructure provided by Google Cloud.
Learn more.
By clicking on «Notify me» I agree to the Privacy Policy.
The Future of Email
Email is how we get things done. It has to be reinvented.
This is how we are going to do it. Read the full story.
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Spark Installation on Linux Ubuntu
Let’s learn how to do Apache Spark Installation on Linux based Ubuntu server, same steps can be used to setup Centos, Debian e.t.c. In real-time all Spark application runs on Linux based OS hence it is good to have knowledge on how to Install and run Spark applications on some Unix based OS like Ubuntu server.
Though this article explains with Ubuntu, you can follow these steps to install Spark on any Linux-based OS like Centos, Debian e.t.c, I followed the below steps to setup my Apache Spark cluster on Ubuntu server.
Prerequisites:
- Ubuntu Server running
- Root access to Ubuntu server
- If you wanted to install Apache Spark on Hadoop & Yarn installation, please Install and Setup Hadoop cluster and setup Yarn on Cluster before proceeding with this article.
If you just wanted to run Spark in standalone, proceed with this article.
Java Installation On Ubuntu
Apache Spark is written in Scala which is a language of Java hence to run Spark you need to have Java Installed. Since Oracle Java is licensed here I am using openJDK Java. If you wanted to use Java from other vendors or Oracle please do so. Here I will be using JDK 8.
Post JDK install, check if it installed successfully by running java -version
Python Installation On Ubuntu
You can skip this section if you wanted to run Spark with Scala & Java on an Ubuntu server.
Python Installation is needed if you wanted to run PySpark examples (Spark with Python) on the Ubuntu server.
Apache Spark Installation on Ubuntu
In order to install Apache Spark on Linux based Ubuntu, access Apache Spark Download site and go to the Download Apache Spark section and click on the link from point 3, this takes you to the page with mirror URL’s to download. copy the link from one of the mirror site.
If you wanted to use a different version of Spark & Hadoop, select the one you wanted from the drop-down (point 1 and 2); the link on point 3 changes to the selected version and provides you with an updated link to download.
Use wget command to download the Apache Spark to your Ubuntu server.
Once your download is complete, untar the archive file contents using tar command, tar is a file archiving tool. Once untar complete, rename the folder to spark.
Spark Environment Variables
Add Apache Spark environment variables to .bashrc or .profile file. open file in vi editor and add below variables.
Now load the environment variables to the opened session by running below command
In case if you added to .profile file then restart your session by closing and re-opening the session.
Test Spark Installation on Ubuntu
With this, Apache Spark Installation on Linux Ubuntu completes. Now let’s run a sample example that comes with Spark binary distribution.
Here I will be using Spark-Submit Command to calculate PI value for 10 places by running org.apache.spark.examples.SparkPi example. You can find spark-submit at $SPARK_HOME/bin directory.
Spark Shell
Apache Spark binary comes with an interactive spark-shell. In order to start a shell to use Scala language, go to your $SPARK_HOME/bin directory and type “ spark-shell “. This command loads the Spark and displays what version of Spark you are using.
Apache Spark Shell
Note: In spark-shell you can run only Spark with Scala. In order to run PySpark, you need to open pyspark shell by running $SPARK_HOME/bin/pyspark . Make sure you have Python installed before running pyspark shell.
By default, spark-shell provides with spark (SparkSession) and sc (SparkContext) object’s to use. Let’s see some examples.
spark-shell create RDD
Spark-shell also creates a Spark context web UI and by default, it can access from http://ip-address:4040.
Spark Web UI
Apache Spark provides a suite of Web UIs (Jobs, Stages, Tasks, Storage, Environment, Executors, and SQL) to monitor the status of your Spark application, resource consumption of Spark cluster, and Spark configurations. On Spark Web UI, you can see how the Spark Actions and Transformation operations are executed. You can access by opening http://ip-address:4040/ . replace ip-address with your server IP.
Spark History server
Create $SPARK_HOME/conf/spark-defaults.conf file and add below configurations.
Create Spark Event Log directory. Spark keeps logs for all applications you submitted.
Run $SPARK_HOME/sbin/start-history-server.sh to start history server.
As per the configuration, history server by default runs on 18080 port.
Run PI example again by using spark-submit command, and refresh the History server which should show the recent run.
Conclusion
In Summary, you have learned steps involved in Apache Spark Installation on Linux based Ubuntu Server, and also learned how to start History Server, access web UI.
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