Coding

4 minutes read
When specifying the cron timezone in a Kubernetes cron job, you can use the TZ environment variable to set the timezone. This can be done by adding the TZ environment variable to the spec.template.spec.containers[].env field in the cron job YAML file. The value of the TZ environment variable should be set to the desired timezone, such as America/New_York or Asia/Tokyo. This will ensure that the cron job runs at the specified timezone rather than the default UTC timezone.
8 minutes read
There are several factors that can contribute to Hadoop programs running extremely slow. One common reason is improper configuration or tuning of Hadoop clusters, which can lead to inefficient data processing and slow performance. Inadequate resource allocation, such as insufficient memory or processing power, can also cause slow program execution.
4 minutes read
To run Hive commands on Hadoop using Python, you can use the pyhive library. This library allows you to connect to Hive using Python and execute Hive queries. First, you will need to install the pyhive library by running pip install PyHive. Next, you can establish a connection to Hive using the following code snippet: from pyhive import hive # establish the connection connection = hive.
5 minutes read
To update the upload size on the DigitalOcean App Platform, you can adjust your app's configuration settings in the App Platform dashboard. Navigate to your app and click on the "Settings" tab. Look for the "Environment Variables" section and add a new key called "MAX_UPLOAD_SIZE" with the desired upload size value in bytes. Save the changes and redeploy your app to apply the new upload size limit.How to adjust file upload size on DigitalOcean App Platform.
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In Hadoop, you can automatically compress files by setting the compression codec in your job configuration. This allows you to reduce the file size and improve storage efficiency. Hadoop supports various compression codecs such as gzip, snappy, and lzo.To automatically compress files in Hadoop, you can specify the compression codec when writing output files using classes like FileOutputFormat and multiple output formats.
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To upload a folder to DigitalOcean Spaces, you can use the command-line interface tool called "s3cmd". First, install s3cmd on your local machine by following the instructions provided on their website. Once installed, configure s3cmd with your DigitalOcean Spaces credentials, including the access key and secret key. Next, use the "s3cmd sync" command to upload the entire folder to your Spaces bucket.
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To set up SSL for a DigitalOcean droplet, you will need to first generate a Certificate Signing Request (CSR) for your domain. This can be done through the terminal using the OpenSSL command. Once you have the CSR, you can purchase an SSL certificate from a trusted Certificate Authority (CA) or use a free one like Let's Encrypt.After receiving the SSL certificate, you will need to install it on your droplet. This involves configuring your web server (e.g.
5 minutes read
To delete files from DigitalOcean via Flutter, you can use the DigitalOcean Spaces package to interact with the DigitalOcean Spaces object storage service. First, you will need to install the package in your Flutter project by adding it to your pubspec.yaml file.Next, you can use the package to authenticate with your DigitalOcean account and access the files stored in your Spaces. You can then use the provided methods to delete files by specifying the path or key of the file you want to remove.
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To make changes on a Vue.js project that is already hosted, you will need to access the code files of your project on the server where it is hosted. This can typically be done through an FTP client or other file management system provided by your hosting provider.Once you have accessed the code files, you can make the necessary changes directly to the Vue components, templates, or other files in your project.
8 minutes read
To deploy a Nest.js app on DigitalOcean, you can follow these general steps:Set up a DigitalOcean account and create a droplet (virtual server) with your desired specifications. SSH into your droplet and ensure that you have Node.js and npm installed. Clone your Nest.js app repository onto the droplet or upload your project files directly. Install dependencies by running npm install in the project directory. Build your Nest.