To delete data in Hadoop using Python, you can use the Hadoop Distributed File System (HDFS) command-line interface (CLI) utility called hdfs. Here’s a sample code to delete data in Hadoop
using System; using System.Data.SqlClient; class Program { static void Main() { string connectionString = "Your_Connection_String"; string updateQuery = "UPDATE Your_Table SET Column1 = @NewValue WHERE ConditionColumn = @ConditionValue"; using (SqlConnection connection = new SqlConnection(connectionString)) { using (SqlCommand command = new SqlCommand(updateQuery, connection)) { // Set parameter values command.Parameters.AddWithValue("@NewValue", "NewValue"); command.Parameters.AddWithValue("@ConditionValue", "ConditionValue"); try { connection.Open(); int rowsAffected = command.ExecuteNonQuery(); Console.WriteLine("Rows affected: " + rowsAffected); } catch (Exception ex) { Console.WriteLine("Error: " + ex.Message); } } } } }
In the code above, replace "hdfs://your_hadoop_path" with the actual Hadoop file path you want to delete.
The code uses the subprocess.run() function to execute the HDFS command hdfs dfs -rm -r with the specified Hadoop file path. The -rm option is used to remove the file, and the -r option is used to recursively delete subdirectories and files.
The execution of the HDFS command will delete the specified file or directory in Hadoop.
Make sure you have the Hadoop CLI (hdfs) installed and configured properly on your system. You can test it by running the hdfs dfs -ls / command to list the files in the root directory of Hadoop.
Remember to handle any exceptions that may occur during the execution of the HDFS command for proper error handling.