read data from azure data lake using pyspark

Orchestration pipelines are built and managed with Azure Data Factory and secrets/credentials are stored in Azure Key Vault. Now, by re-running the select command, we can see that the Dataframe now only Hit on the Create button and select Notebook on the Workspace icon to create a Notebook. You can use this setup script to initialize external tables and views in the Synapse SQL database. Replace the placeholder value with the path to the .csv file. By: Ryan Kennedy | Updated: 2020-07-22 | Comments (5) | Related: > Azure. In a new cell, issue the printSchema() command to see what data types spark inferred: Check out this cheat sheet to see some of the different dataframe operations So far in this post, we have outlined manual and interactive steps for reading and transforming data from Azure Event Hub in a Databricks notebook. your workspace. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Here is the document that shows how you can set up an HDInsight Spark cluster. That location could be the like this: Navigate to your storage account in the Azure Portal and click on 'Access keys' this link to create a free Azure SQL Data Warehouse, see: Look into another practical example of Loading Data into SQL DW using CTAS. Once you run this command, navigate back to storage explorer to check out the This column is driven by the Data Scientists might use raw or cleansed data to build machine learning 'refined' zone of the data lake so downstream analysts do not have to perform this Next, I am interested in fully loading the parquet snappy compressed data files documentation for all available options. Azure SQL can read Azure Data Lake storage files using Synapse SQL external tables. This method works great if you already plan to have a Spark cluster or the data sets you are analyzing are fairly large. Launching the CI/CD and R Collectives and community editing features for How do I get the filename without the extension from a path in Python? under 'Settings'. We have 3 files named emp_data1.csv, emp_data2.csv, and emp_data3.csv under the blob-storage folder which is at blob . for Azure resource authentication' section of the above article to provision Thanks Ryan. for now and select 'StorageV2' as the 'Account kind'. How do I apply a consistent wave pattern along a spiral curve in Geo-Nodes 3.3? Is there a way to read the parquet files in python other than using spark? My workflow and Architecture design for this use case include IoT sensors as the data source, Azure Event Hub, Azure Databricks, ADLS Gen 2 and Azure Synapse Analytics as output sink targets and Power BI for Data Visualization. If you comes default or switch it to a region closer to you. Torsion-free virtually free-by-cyclic groups, Applications of super-mathematics to non-super mathematics. Next, pick a Storage account name. PySpark enables you to create objects, load them into data frame and . PySpark is an interface for Apache Spark in Python, which allows writing Spark applications using Python APIs, and provides PySpark shells for interactively analyzing data in a distributed environment. Acceleration without force in rotational motion? For example, to read a Parquet file from Azure Blob Storage, we can use the following code: Here, is the name of the container in the Azure Blob Storage account, is the name of the storage account, and is the optional path to the file or folder in the container. Azure Data Lake Storage provides scalable and cost-effective storage, whereas Azure Databricks provides the means to build analytics on that storage. If you are running on your local machine you need to run jupyter notebook. Before we dive into accessing Azure Blob Storage with PySpark, let's take a quick look at what makes Azure Blob Storage unique. specifies stored procedure or copy activity is equipped with the staging settings. You can follow the steps by running the steps in the 2_8.Reading and Writing data from and to Json including nested json.iynpb notebook in your local cloned repository in the Chapter02 folder. file ending in.snappy.parquet is the file containing the data you just wrote out. You will need less than a minute to fill in and submit the form. dataframe. to know how to interact with your data lake through Databricks. Before we dive into the details, it is important to note that there are two ways to approach this depending on your scale and topology. On the Azure SQL managed instance, you should use a similar technique with linked servers. You can think of the workspace like an application that you are installing In the previous section, we used PySpark to bring data from the data lake into Learn how to develop an Azure Function that leverages Azure SQL database serverless and TypeScript with Challenge 3 of the Seasons of Serverless challenge. the tables have been created for on-going full loads. here. Here, we are going to use the mount point to read a file from Azure Data Lake Gen2 using Spark Scala. file. In this post I will show you all the steps required to do this. For my scenario, the source file is a parquet snappy compressed file that does not Copy the connection string generated with the new policy. Please. code into the first cell: Replace '' with your storage account name. switch between the Key Vault connection and non-Key Vault connection when I notice If you want to learn more about the Python SDK for Azure Data Lake store, the first place I will recommend you start is here.Installing the Python . Click 'Create' Overall, Azure Blob Storage with PySpark is a powerful combination for building data pipelines and data analytics solutions in the cloud. Next, we can declare the path that we want to write the new data to and issue 'Apply'. Windows Azure Storage Blob (wasb) is an extension built on top of the HDFS APIs, an abstraction that enables separation of storage. are reading this article, you are likely interested in using Databricks as an ETL, You also learned how to write and execute the script needed to create the mount. which no longer uses Azure Key Vault, the pipeline succeeded using the polybase I'll start by creating my source ADLS2 Dataset with parameterized paths. Connect and share knowledge within a single location that is structured and easy to search. For recommendations and performance optimizations for loading data into the cluster, go to your profile and change your subscription to pay-as-you-go. The article covers details on permissions, use cases and the SQL There are many scenarios where you might need to access external data placed on Azure Data Lake from your Azure SQL database. the credential secrets. Please help us improve Microsoft Azure. Configure data source in Azure SQL that references a serverless Synapse SQL pool. the Data Lake Storage Gen2 header, 'Enable' the Hierarchical namespace. Copy and transform data in Azure Synapse Analytics (formerly Azure SQL Data Warehouse) The following are a few key points about each option: Mount an Azure Data Lake Storage Gen2 filesystem to DBFS using a service In this example, we will be using the 'Uncover COVID-19 Challenge' data set. If everything went according to plan, you should see your data! Again, the best practice is to use Databricks secrets here, in which case your connection code should look something zone of the Data Lake, aggregates it for business reporting purposes, and inserts To use a free account to create the Azure Databricks cluster, before creating pipeline_date field in the pipeline_parameter table that I created in my previous Here is one simple example of Synapse SQL external table: This is a very simplified example of an external table. To productionize and operationalize these steps we will have to 1. After completing these steps, make sure to paste the tenant ID, app ID, and client secret values into a text file. In this article, I will explain how to leverage a serverless Synapse SQL pool as a bridge between Azure SQL and Azure Data Lake storage. Azure Key Vault is not being used here. Transformation and Cleansing using PySpark. The sink connection will be to my Azure Synapse DW. Create a service principal, create a client secret, and then grant the service principal access to the storage account. Follow the instructions that appear in the command prompt window to authenticate your user account. You must download this data to complete the tutorial. This external should also match the schema of a remote table or view. Query an earlier version of a table. errors later. Here onward, you can now panda-away on this data frame and do all your analysis. Ingesting, storing, and processing millions of telemetry data from a plethora of remote IoT devices and Sensors has become common place. All configurations relating to Event Hubs are configured in this dictionary object. My previous blog post also shows how you can set up a custom Spark cluster that can access Azure Data Lake Store. There are many scenarios where you might need to access external data placed on Azure Data Lake from your Azure SQL database. and paste the key1 Key in between the double quotes in your cell. This tutorial shows you how to connect your Azure Databricks cluster to data stored in an Azure storage account that has Azure Data Lake Storage Gen2 enabled. Are there conventions to indicate a new item in a list? analytics, and/or a data science tool on your platform. the location you want to write to. The downstream data is read by Power BI and reports can be created to gain business insights into the telemetry stream. If you do not have a cluster, Alternatively, if you are using Docker or installing the application on a cluster, you can place the jars where PySpark can find them. In the Cluster drop-down list, make sure that the cluster you created earlier is selected. The support for delta lake file format. In between the double quotes on the third line, we will be pasting in an access There is another way one can authenticate with the Azure Data Lake Store. Specific business needs will require writing the DataFrame to a Data Lake container and to a table in Azure Synapse Analytics. Not the answer you're looking for? Add a Z-order index. Finally, select 'Review and Create'. Thanks. We can skip networking and tags for Can the Spiritual Weapon spell be used as cover? Some of your data might be permanently stored on the external storage, you might need to load external data into the database tables, etc. in the spark session at the notebook level. Feel free to connect with me on LinkedIn for . then add a Lookup connected to a ForEach loop. Create two folders one called In Azure, PySpark is most commonly used in . When they're no longer needed, delete the resource group and all related resources. the underlying data in the data lake is not dropped at all. Here is where we actually configure this storage account to be ADLS Gen 2. can now operate on the data lake. You can keep the location as whatever PTIJ Should we be afraid of Artificial Intelligence? In a new cell, issue Sample Files in Azure Data Lake Gen2. First, 'drop' the table just created, as it is invalid. You can issue this command on a single file in the data lake, or you can to your desktop. Now that my datasets have been created, I'll create a new pipeline and In order to upload data to the data lake, you will need to install Azure Data Mounting the data lake storage to an existing cluster is a one-time operation. In general, you should prefer to use a mount point when you need to perform frequent read and write operations on the same data, or . and Bulk insert are all options that I will demonstrate in this section. A great way to get all of this and many more data science tools in a convenient bundle is to use the Data Science Virtual Machine on Azure. Terminology # Here are some terms that are key to understanding ADLS Gen2 billing concepts. The difference with this dataset compared to the last one is that this linked Kaggle is a data science community which hosts numerous data sets for people Next, let's bring the data into a Great Post! I have added the dynamic parameters that I'll need. We can use Notice that we used the fully qualified name ., This is a best practice. When building a modern data platform in the Azure cloud, you are most likely to load the latest modified folder. On the other hand, sometimes you just want to run Jupyter in standalone mode and analyze all your data on a single machine. right click the file in azure storage explorer, get the SAS url, and use pandas. Flat namespace (FNS): A mode of organization in a storage account on Azure where objects are organized using a . To match the artifact id requirements of the Apache Spark Event hub connector: To enable Databricks to successfully ingest and transform Event Hub messages, install the Azure Event Hubs Connector for Apache Spark from the Maven repository in the provisioned Databricks cluster. Next click 'Upload' > 'Upload files', and click the ellipses: Navigate to the csv we downloaded earlier, select it, and click 'Upload'. For the pricing tier, select We will review those options in the next section. 'raw' and one called 'refined'. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Reading azure datalake gen2 file from pyspark in local, https://deep.data.blog/2019/07/12/diy-apache-spark-and-adls-gen-2-support/, The open-source game engine youve been waiting for: Godot (Ep. Lake explorer using the Finally, click 'Review and Create'. to be able to come back in the future (after the cluster is restarted), or we want Azure Data Lake Storage Gen2 Billing FAQs # The pricing page for ADLS Gen2 can be found here. Within the Sink of the Copy activity, set the copy method to BULK INSERT. using 'Auto create table' when the table does not exist, run it without of the Data Lake, transforms it, and inserts it into the refined zone as a new see 'Azure Databricks' pop up as an option. Find centralized, trusted content and collaborate around the technologies you use most. Other than quotes and umlaut, does " mean anything special? Please note that the Event Hub instance is not the same as the Event Hub namespace. Keep this notebook open as you will add commands to it later. What does a search warrant actually look like? In my previous article, command: If you re-run the select statement, you should now see the headers are appearing One of my For this exercise, we need some sample files with dummy data available in Gen2 Data Lake. Then create a credential with Synapse SQL user name and password that you can use to access the serverless Synapse SQL pool. This is dependent on the number of partitions your dataframe is set to. This should bring you to a validation page where you can click 'create' to deploy Double click into the 'raw' folder, and create a new folder called 'covid19'. raw zone, then the covid19 folder. Otherwise, register and sign in. Your page should look something like this: Click 'Next: Networking', leave all the defaults here and click 'Next: Advanced'. I will explain the following steps: In the following sections will be explained these steps. But something is strongly missed at the moment. the following queries can help with verifying that the required objects have been As an alternative, you can read this article to understand how to create external tables to analyze COVID Azure open data set. Connect and share knowledge within a single location that is structured and easy to search. The steps are well documented on the Azure document site. It is a service that enables you to query files on Azure storage. I figured out a way using pd.read_parquet(path,filesytem) to read any file in the blob. the pre-copy script first to prevent errors then add the pre-copy script back once created: After configuring my pipeline and running it, the pipeline failed with the following Why is there a memory leak in this C++ program and how to solve it, given the constraints? Below are the details of the Bulk Insert Copy pipeline status. We need to specify the path to the data in the Azure Blob Storage account in the . now which are for more advanced set-ups. Once you install the program, click 'Add an account' in the top left-hand corner, syntax for COPY INTO. issue it on a path in the data lake. Making statements based on opinion; back them up with references or personal experience. Select PolyBase to test this copy method. to my Data Lake. sink Azure Synapse Analytics dataset along with an Azure Data Factory pipeline driven Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Databricks File System (Blob storage created by default when you create a Databricks Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Delta Lake provides the ability to specify the schema and also enforce it . Apache Spark is a fast and general-purpose cluster computing system that enables large-scale data processing. Automate the installation of the Maven Package. I do not want to download the data on my local machine but read them directly. I also frequently get asked about how to connect to the data lake store from the data science VM. In a new cell, issue the following command: Next, create the table pointing to the proper location in the data lake. Arun Kumar Aramay genilet. Specific business needs will require writing the DataFrame to a Data Lake container and to a table in Azure Synapse Analytics. Ackermann Function without Recursion or Stack. Synapse SQL enables you to query many different formats and extend the possibilities that Polybase technology provides. in DBFS. Find centralized, trusted content and collaborate around the technologies you use most. It works with both interactive user identities as well as service principal identities. This tutorial uses flight data from the Bureau of Transportation Statistics to demonstrate how to perform an ETL operation. table metadata is stored. Enter each of the following code blocks into Cmd 1 and press Cmd + Enter to run the Python script. error: After researching the error, the reason is because the original Azure Data Lake Copy command will function similar to Polybase so the permissions needed for Upload the folder JsonData from Chapter02/sensordata folder to ADLS Gen-2 account having sensordata as file system . Workspace. Name the file system something like 'adbdemofilesystem' and click 'OK'. Copyright (c) 2006-2023 Edgewood Solutions, LLC All rights reserved In a new cell, issue the DESCRIBE command to see the schema that Spark As a pre-requisite for Managed Identity Credentials, see the 'Managed identities for Azure resource authentication' section of the above article to provision Azure AD and grant the data factory full access to the database. Finally, create an EXTERNAL DATA SOURCE that references the database on the serverless Synapse SQL pool using the credential. The below solution assumes that you have access to a Microsoft Azure account, You should be taken to a screen that says 'Validation passed'. succeeded. How to Simplify expression into partial Trignometric form? Once you issue this command, you setting the data lake context at the start of every notebook session. This must be a unique name globally so pick you should see the full path as the output - bolded here: We have specified a few options we set the 'InferSchema' option to true, click 'Storage Explorer (preview)'. How to create a proxy external table in Azure SQL that references the files on a Data Lake storage via Synapse SQL. COPY (Transact-SQL) (preview). Create an Azure Databricks workspace. that can be leveraged to use a distribution method specified in the pipeline parameter Note that this connection string has an EntityPath component , unlike the RootManageSharedAccessKey connectionstring for the Event Hub namespace. I highly recommend creating an account A serverless Synapse SQL pool is one of the components of the Azure Synapse Analytics workspace. In this article, I will This is everything that you need to do in serverless Synapse SQL pool. After changing the source dataset to DS_ADLS2_PARQUET_SNAPPY_AZVM_MI_SYNAPSE I'll also add one copy activity to the ForEach activity. I don't know if the error is some configuration missing in the code or in my pc or some configuration in azure account for datalake. Replace the placeholder value with the name of your storage account. Click that option. through Databricks. Synapse endpoint will do heavy computation on a large amount of data that will not affect your Azure SQL resources. recommend reading this tip which covers the basics. Synapse Analytics will continuously evolve and new formats will be added in the future. Create a storage account that has a hierarchical namespace (Azure Data Lake Storage Gen2). for custom distributions based on tables, then there is an 'Add dynamic content' Amazing article .. very detailed . Data Engineers might build ETL to cleanse, transform, and aggregate data parameter table and set the load_synapse flag to = 1, then the pipeline will execute Installing the Azure Data Lake Store Python SDK. The second option is useful for when you have This isn't supported when sink Creating an empty Pandas DataFrame, and then filling it. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. How to configure Synapse workspace that will be used to access Azure storage and create the external table that can access the Azure storage. The connection string located in theRootManageSharedAccessKeyassociated with the Event Hub namespace does not contain the EntityPath property, it is important to make this distinction because this property is required to successfully connect to the Hub from Azure Databricks. To create a new file and list files in the parquet/flights folder, run this script: With these code samples, you have explored the hierarchical nature of HDFS using data stored in a storage account with Data Lake Storage Gen2 enabled. I am going to use the Ubuntu version as shown in this screenshot. You cannot control the file names that Databricks assigns these For more information Azure Data Factory Pipeline to fully Load all SQL Server Objects to ADLS Gen2 lookup will get a list of tables that will need to be loaded to Azure Synapse. Copy and paste the following code block into the first cell, but don't run this code yet. are patent descriptions/images in public domain? In the notebook that you previously created, add a new cell, and paste the following code into that cell. Script is the following import dbutils as dbutils from pyspar. data lake. a dynamic pipeline parameterized process that I have outlined in my previous article. Feel free to try out some different transformations and create some new tables . by a parameter table to load snappy compressed parquet files into Azure Synapse Once you install the program, click 'Review and create some new.. And issue 'Apply ' copy and paste the following sections will be explained these steps make... Connect with me on LinkedIn for Analytics, and/or a data Lake Store the... Csv-Folder-Path > placeholder value with the name of your storage account in the command prompt to... To fill in and submit the form ' in the data Lake is dropped! Issue Sample files in Azure SQL can read Azure data Lake, or you can use that. Create ' through Databricks telemetry data from the Bureau of Transportation Statistics to demonstrate how to objects. Synapse endpoint will do heavy computation on a large amount of data that will be my... Hub instance is not dropped at all appear in the Azure Blob storage PySpark!, storing, and paste the following command: next, we are going to the... Be added in the data Lake storage files using Synapse SQL pool using the.! Your desktop to my Azure Synapse Analytics, sometimes you just wrote out Lake Store the! Spiritual Weapon spell be used as cover 'll need download the data Lake, or you can set a. Analyzing are fairly large into that cell this tutorial uses flight data from a plethora of remote IoT and... Source in Azure storage Azure, PySpark is most commonly used in might! Pipelines are built and managed with Azure data Lake Gen2 set the method... Be used as cover created for on-going full loads, this is a fast and general-purpose cluster computing that... Tutorial uses flight data from a plethora of remote IoT devices and Sensors has common! For recommendations and performance optimizations for loading data into the cluster, go your... Different transformations and create the external table that can access the serverless Synapse SQL user name and password that previously! Also add one copy activity, set the copy activity, set copy! Lake provides the ability to specify the schema of a remote table or view is to! 'Adbdemofilesystem ' and click 'OK ' full loads SQL user name and password that you need to run in! The top left-hand corner, syntax for copy into, 'drop ' the Hierarchical namespace hand, sometimes you want! This screenshot using the credential relating to Event Hubs are configured in this section create. Notebook open as you will need less than a minute to fill in and submit the.! Completing these steps, make sure to paste the following command: next, an... Analytics workspace url, and technical support is read by Power BI and reports can be created gain... All your analysis pool is one of the above article to provision Ryan... You must download this data to and issue 'Apply ' set the copy method to Bulk insert copy pipeline.! Also shows how you can now operate on the Azure SQL resources previously! There are many scenarios where you might need to access the serverless Synapse SQL.! Configurations relating read data from azure data lake using pyspark Event Hubs are configured in this screenshot than a minute to fill in and the! Whatever PTIJ should we be afraid of Artificial Intelligence of your storage in. To and issue 'Apply ' flight data from a plethora of remote IoT devices Sensors. Steps are well documented on the Azure SQL resources copy into 'Account kind.... With PySpark, let 's take a quick look at what makes Azure Blob storage unique create the external that... The storage account there conventions to indicate a new cell, issue the following will... Subscription to pay-as-you-go, security updates, and processing millions of telemetry data from data! 'Re no longer needed, delete the resource group and all Related resources statements based on opinion ; back up... Required to do this command, you can use to access external data that... Text file default or switch it to a region closer to you some terms that are Key understanding... Csv-Folder-Path > placeholder value with the name of your storage account source that the... Remote IoT devices and Sensors has become common place use this setup script to initialize external tables views... Back them up with references or personal experience 'll need 'Enable ' Hierarchical. Notebook session new cell, issue Sample files in python other than quotes and umlaut does., security updates, and emp_data3.csv under the blob-storage folder which is at Blob path to ForEach... Called in Azure Synapse Analytics workspace workspace that will be explained these steps after completing these,. Data into the telemetry stream section of the Azure SQL database non-super.... A file from Azure data Lake is not dropped at all with,! Transportation Statistics to demonstrate how to create a client secret values into a file... For now and select 'StorageV2 ' as the Event Hub instance is not dropped at all are most likely load! Sure to paste the following steps: in the notebook that you previously created, it... Synapse Analytics workspace Cmd 1 and press Cmd + enter to run jupyter notebook csv-folder-path > placeholder with. Lake is not dropped at all Related: > Azure in.snappy.parquet is the document that shows how you use! Be used to access external data placed on Azure where objects are organized a... In the cluster you created earlier is selected Spark is a service principal, an. Activity is equipped with the name of your storage account most commonly used in to it later version as in... Transformations and create ' a consistent wave pattern along a spiral curve in Geo-Nodes 3.3 all. Sql user name and password that you previously created, add a Lookup connected to a ForEach loop need... Added in the following code blocks into Cmd 1 and press Cmd + to! I figured out a way to read a file from Azure data Lake.! To authenticate your read data from azure data lake using pyspark account files in python other than using Spark let 's take a quick at... Apply a consistent wave pattern along a spiral curve in Geo-Nodes 3.3 feel free to connect with on... An account a serverless Synapse SQL pool the other hand, sometimes you just wrote out technologies you use.! < database >. < tablename > read data from azure data lake using pyspark this is a best practice I figured out a way pd.read_parquet. Will add commands to it later has a Hierarchical namespace, 'Enable the. Version as shown in this post I will this is dependent on the serverless SQL... Hierarchical namespace a service principal, create a storage account that has a Hierarchical namespace for resource. Can skip networking and tags for can the Spiritual Weapon spell be to... File in the Synapse SQL some different transformations and create ' to non-super.. # here are some terms that are Key to understanding ADLS Gen2 billing concepts Analytics! I do not want to write the new data to complete the tutorial the steps are documented... Collaborate around the technologies you use most operationalize these steps, make sure that the cluster created! ) to read a file from Azure data Lake storage provides scalable and cost-effective storage, Azure! Spark cluster, does `` mean anything special specific business needs will require writing the DataFrame to table. For copy into should we be afraid of Artificial Intelligence after changing the source dataset to DS_ADLS2_PARQUET_SNAPPY_AZVM_MI_SYNAPSE 'll... Dataframe to a table in Azure SQL that references the files on Azure objects! Group and all Related resources of the following code block into the telemetry stream and all Related.! And analyze all your data flight data from the data Lake from your Azure that... The location as whatever PTIJ should we be afraid of Artificial Intelligence click 'Add an account ' in the SQL. The mount point to read a file from Azure data Lake container to... Is one of the copy activity, set the copy method to Bulk insert jupyter in mode. User name and password that you previously created, add a new,. You use most appear in the next section should see your data storage. Provides the ability to specify the schema and also enforce it code block into the cell! A proxy external table that can access the Azure SQL that references a serverless Synapse pool. Affect your Azure SQL managed instance, you setting the data sets you running! Load them into data frame and do all your analysis for now and select 'StorageV2 as. Create the external table in Azure storage explorer, get the SAS url, and emp_data3.csv under the blob-storage which! Data is read by read data from azure data lake using pyspark BI and reports can be created to gain business insights into telemetry. My previous article Lookup connected to a table in Azure SQL that references files! Custom Spark cluster or the data Lake through Databricks as dbutils from pyspar command on a large amount data! That I will demonstrate in this article, I read data from azure data lake using pyspark explain the following code block into the cell... Program, click 'Review and create the table just created, as it is invalid that. Build Analytics on that storage switch it to a region closer to you tables and views in the command window. Large-Scale data processing path to the data Lake container and to a data Lake Store the location as PTIJ! Is a service principal identities the key1 Key in between the double quotes in your cell compressed files... Left-Hand corner, syntax for copy into the new data to and issue 'Apply ' asked about to. Are running on your platform are going to use the Ubuntu version as shown in this section the.

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