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How to Read Csv File Values In Jenkins Pipeline Using Groovy?

7 minutes read

To read CSV file values in a Jenkins pipeline using Groovy, you can use the readCSV step in Jenkins. This step reads a CSV file from the workspace or text, and returns a list of arrays. Each array represents a row of the CSV file, with each element in the array representing a column value.


You can use the readCSV step in your Jenkins pipeline script like this:

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def data = readCSV file: 'path/to/your/file.csv'
data.each { row ->
    // Process each row of the CSV file
    println row
}


This will read the CSV file located at path/to/your/file.csv in the Jenkins workspace, and store the values in the data variable. You can then iterate over the data variable to access and process each row of the CSV file.


Remember to replace path/to/your/file.csv with the actual path to your CSV file.


How to calculate average of specific column values in a CSV file in Jenkins pipeline?

To calculate the average of specific column values in a CSV file in a Jenkins pipeline, you can use the following steps:

  1. Use the readCSV step in the Jenkins pipeline to parse the CSV file and store the data in a variable.
  2. Iterate over the rows of the CSV file and extract the specific column values that you want to calculate the average of.
  3. Keep track of the sum of the values and the count of the values in the specific column.
  4. Calculate the average by dividing the sum of the values by the count of values.
  5. Print or store the average value as needed.


Here is an example code snippet for calculating the average of specific column values in a Jenkins pipeline:

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pipeline {
    agent any
    
    stages {
        stage('Calculate Average') {
            steps {
                script {
                    def sum = 0
                    def count = 0
                    def file = readFile('data.csv')
                    def data = readCSV text: file
                    
                    data.each { row ->
                        // Assuming column 2 contains the values to calculate average of
                        sum += row[1].toInteger() // Change index to the specific column index
                        count++
                    }
                    
                    def average = sum / count
                    echo "The average of column values is: ${average}"
                }
            }
        }
    }
}


Make sure to adjust the column index in the code snippet above to match the specific column in your CSV file where the values to calculate the average of are stored.


What is the advantage of using Groovy for reading CSV files in Jenkins pipeline?

One advantage of using Groovy for reading CSV files in Jenkins pipeline is that it allows for efficient and flexible data manipulation. Groovy has built-in methods for reading and parsing CSV files, making it easy to extract, transform, and load data from these files. Additionally, Groovy's dynamic nature allows for more complex data processing tasks, such as filtering, sorting, and aggregating data, which may be necessary when working with large datasets. Overall, using Groovy in Jenkins pipelines for reading CSV files can help streamline data processing workflows and improve overall pipeline efficiency.


How to group and summarize values from CSV file in Jenkins pipeline?

To group and summarize values from a CSV file in a Jenkins pipeline, you can use the following approach:

  1. Read the CSV file in your Jenkins pipeline using the readCSV step. This step reads the file and parses it into a list of dictionaries, where each dictionary represents a row in the CSV file.
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def csvData = readCSV file: 'path/to/your/csv/file.csv'


  1. Group the values based on a specific column in the CSV file. You can use the groupBy method in Groovy to group the values based on a specific key.
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def groupedData = csvData.groupBy { it.columnName }


  1. Summarize the values in each group by calculating the sum, average, count, etc. You can use the collect method in Groovy to iterate over the grouped data and perform the summarization.
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def summarizedData = groupedData.collect { key, value ->
    def sum = value.sum { it.value }
    def average = value.sum { it.value } / value.size()
    
    [key: key, sum: sum, average: average]
}


  1. Display or use the summarized data as needed in your Jenkins pipeline. You can output the summarized data to the console, store it in a variable for later use, or use it to generate reports or notifications.
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summarizedData.each { data ->
    echo "Key: ${data.key}, Sum: ${data.sum}, Average: ${data.average}"
}


By following these steps, you can easily group and summarize values from a CSV file in a Jenkins pipeline.


How to handle special characters in CSV file values in Jenkins pipeline?

One way to handle special characters in CSV file values in a Jenkins pipeline is to escape or quote the special characters in the CSV file before reading or processing it.


Here are some steps you can follow:

  1. If you are writing the CSV file in your Jenkins pipeline, make sure to properly escape or quote any special characters in the values you are writing to the file.
  2. When reading the CSV file in your pipeline script, use a CSV parsing library that can handle special characters properly. Some popular libraries for this purpose include Apache Commons CSV in Java or Python's built-in CSV module.
  3. If the CSV file contains special characters that need to be handled manually, you can use string manipulation functions in your pipeline script to clean or escape them as needed.
  4. Be aware of the encoding used for the CSV file. Make sure that the encoding is correctly specified when reading or writing the CSV file to ensure that special characters are handled properly.


By following these steps, you can effectively handle special characters in CSV file values in your Jenkins pipeline.


How to ignore specific columns in a CSV file when reading in Jenkins pipeline?

To ignore specific columns in a CSV file when reading in a Jenkins pipeline, you can use a combination of tools such as awk or cut to extract only the columns that you want to keep and then read the modified CSV file. Here is an example pipeline script that demonstrates this approach:

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pipeline {
    agent any
    
    stages {
        stage('Read CSV File') {
            steps {
                script {
                    // Use awk to extract specific columns from the CSV file
                    sh 'awk -F "," \'{print $1 "," $2 "," $4}\' input.csv > modified.csv'
                    
                    // Read the modified CSV file
                    def csvData = readFile 'modified.csv'
                    def rows = csvData.readLines()
                    
                    rows.each { row ->
                        def columns = row.split(',')
                        // Process the data as needed
                        // For example, print the values of each column
                        echo "Column 1: ${columns[0]}, Column 2: ${columns[1]}, Column 3: ${columns[2]}"
                    }
                }
            }
        }
    }
}


In this example, awk is used to extract columns 1, 2, and 4 from the original CSV file and save the modified data in a new file called modified.csv. The Jenkins pipeline then reads the modified CSV file and processes the remaining columns. You can customize the awk command to extract different columns based on your requirements.


How to convert date format in a CSV file in Jenkins pipeline?

You can convert the date format in a CSV file in a Jenkins pipeline using Groovy script. Here is an example script you can use in your Jenkins pipeline:

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pipeline {
    agent any

    stages {
        stage('Convert Date Format') {
            steps {
                script {
                    def inputFile = readFile 'input.csv'
                    def outputFile = new File('output.csv')

                    inputFile.eachLine { line ->
                        def values = line.split(',')
                        def oldDate = values[0]
                        
                        // Convert date format from 'yyyy/MM/dd' to 'dd/MM/yyyy'
                        def sdf = new java.text.SimpleDateFormat("yyyy/MM/dd")
                        def parsedDate = sdf.parse(oldDate)
                        def newSdf = new java.text.SimpleDateFormat("dd/MM/yyyy")
                        def newDate = newSdf.format(parsedDate)

                        outputFile.append("${newDate},${values[1]},${values[2]}\n")
                    }

                    echo "Date format converted successfully"
                }
            }
        }
    }
}


In this script:

  1. We read the input CSV file using the readFile function.
  2. We define a new output CSV file to write the converted date format.
  3. We iterate over each line in the input CSV file and extract the date value.
  4. We then convert the date format from 'yyyy/MM/dd' to 'dd/MM/yyyy' using SimpleDateFormat class.
  5. We write the line with the converted date format to the output CSV file.
  6. Finally, we print a message indicating that the date format has been converted successfully.


You can customize this script further based on your specific requirements for date format conversion.

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