You can use CSVReader
String fileName = "data.csv";
CSVReader reader = new CSVReader(new FileReader(fileName ));
// if the first line is the header
String[] header = reader.readNext();
Answer from Parmod on Stack OverflowYou can use CSVReader
String fileName = "data.csv";
CSVReader reader = new CSVReader(new FileReader(fileName ));
// if the first line is the header
String[] header = reader.readNext();
You can read csv file line by line. Split the line at comma. Split method returns array. Each array element contain value from line read. Suppose Title and Project ID fields are of integer type then whichever 2 elements are integer treat first as title and second as Project ID. Strings can be considered as Summary and Priority
What is OpenCSV, and why should we use it for reading CSV files in Java?
How can I handle header rows when reading a CSV file with OpenCSV?
How can I handle errors or exceptions when reading CSV files with OpenCSV?
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If your CSV file(s) always contains a Header Line which indicates the Table Column Names then it's just a matter of catching this line and splitting it so as to place those column names into a String Array (or collection, or whatever). The length of this array determines the amount of data expected to be available for each record data line. Once you have the Column Names it's gets relatively easy from there.
How you acquire your CSV file path and it's format type is obviously up to you but here is a general concept how to carry out the task at hand:
public static void readCsvToConsole(String csvFilePath, String csvDelimiter) {
String line; // To hold each valid data line.
String[] columnNames = new String[0]; // To hold Header names.
int dataLineCount = 0; // Count the file lines.
StringBuilder sb = new StringBuilder(); // Used to build the output String.
String ls = System.lineSeparator(); // Use System Line Seperator for output.
// 'Try With Resources' to auto-close the reader
try (BufferedReader br = new BufferedReader(new FileReader(csvFilePath))) {
while ((line = br.readLine()) != null) {
// Skip Blank Lines (if any).
if (line.trim().equals("")) {
continue;
}
dataLineCount++;
// Deal with the Header Line. Line 1 in most CSV files is the Header Line.
if (dataLineCount == 1) {
/* The Regular Expression used in the String#split()
method handles any delimiter/spacing situation.*/
columnNames = line.split("\\s{0,}" + csvDelimiter + "\\s{0,}");
continue; // Don't process this line anymore. Continue loop.
}
// Split the file data line into its respective columnar slot.
String[] lineParts = line.split("\\s{0,}" + csvDelimiter + "\\s{0,}");
/* Iterate through the Column Names and buld a String
using the column names and its' respective data along
with a line break after each Column/Data line. */
for (int i = 0; i < columnNames.length; i++) {
sb.append(columnNames[i]).append(": ").append(lineParts[i]).append(ls);
}
// Display the data record in Console.
System.out.println(sb.toString());
/* Clear the StringBuilder object to prepare for
a new string creation. */
sb.delete(0, sb.capacity());
}
}
// Trap these Exceptions
catch (FileNotFoundException ex) {
System.err.println(ex.getMessage());
}
catch (IOException ex) {
System.err.println(ex.getMessage());
}
}
With this method you can have 1 to thousands of columns, it doesn't matter (not that you would ever have thousands of data columns in any given record but hey....you never know... lol). And to use this method:
// Read CSV To Console Window.
readCsvToConsole("test.csv", ",");
Here is some code that I recently worked on for an interview that might help: https://github.com/KemarCodes/ms3_csv/blob/master/src/main/java/CSVProcess.java
If you always have 3 attributes, I would read the first line of the csv and set values in an object that has three fields: attribute1, attribute2, and attribute3. I would create another class to hold the three values and read all the lines after, creating a new instance each time and reading them in an array list. To print I would just print the values in the attribute class each time alongside each set of values.
We have withHeader() method available in CSVFormat. If you use this option then you will be able to read the file using headers.
CSVFormat format = CSVFormat.newFormat(',').withHeader();
Map<String, Integer> headerMap = dataCSVParser.getHeaderMap();
will give you all headers.
public class CSVFileReaderEx {
public static void main(String[] args){
readFile();
}
public static void readFile(){
List<Map<String, String>> csvInputList = new CopyOnWriteArrayList<>();
List<Map<String, Integer>> headerList = new CopyOnWriteArrayList<>();
String fileName = "C:/test.csv";
CSVFormat format = CSVFormat.newFormat(',').withHeader();
try (BufferedReader inputReader = new BufferedReader(new FileReader(new File(fileName)));
CSVParser dataCSVParser = new CSVParser(inputReader, format); ) {
List<CSVRecord> csvRecords = dataCSVParser.getRecords();
Map<String, Integer> headerMap = dataCSVParser.getHeaderMap();
headerList.add(headerMap);
headerList.forEach(System.out::println);
for(CSVRecord record : csvRecords){
Map<String, String> inputMap = new LinkedHashMap<>();
for(Map.Entry<String, Integer> header : headerMap.entrySet()){
inputMap.put(header.getKey(), record.get(header.getValue()));
}
if (!inputMap.isEmpty()) {
csvInputList.add(inputMap);
}
}
csvInputList.forEach(System.out::println);
} catch (Exception e) {
System.out.println(e);
}
}
}
Please consider the use of Commons CSV. This library is written according RFC 4180 - Common Format and MIME Type for Comma-Separated Values (CSV) Files. What is compatible to read such lines:
"aa,a","b""bb","ccc"
And the use is quite simple, there is just 3 classes, and a small sample according documentation:
Parsing of a csv-string having tabs as separators, '"' as an optional value encapsulator, and comments starting with '#':
CSVFormat format = new CSVFormat('\t', '"', '#');
Reader in = new StringReader("a\tb\nc\td");
String[][] records = new CSVParser(in, format).getRecords();
And additionally you get this parsers already available as constants:
- DEFAULT - Standard comma separated format as defined by RFC 4180.
- EXCEL - Excel file format (using a comma as the value delimiter).
- MYSQL - Default MySQL format used by the SELECT INTO OUTFILE and LOAD DATA INFILE operations. TDF - Tabulation delimited format.