Php read large csv file

Then a third point worth mentioning is use PHP native functions wherever possible. I have used a Regex to replace newline in the CSV file. If you got a better option please suggest via comments section below. Try experimenting with different chunk batch sizes. There is no particular right size.

There are lots of variables, your server configuration, hardware, MySQL setup and lot more. I have used a sample CSV file which I generated myself. I will detail the process below. You can use your own sample or real data and pass that as a parameter. This callback takes care of parsing the record by the delimiter comma in my example and creating the multi-insert query and doing the actual insert.

You may have to modify the query part to suit your database table format. The overall structure of the script takes care of parsing the CSV in chunks batches and callbacks. Thanks to RobertPitt. One thing worth mentioning is, instead of reading line by line I have used the chunk as it is to improve the speed. All through the Internet users have suggested fgetcsv. But I have gone ahead with chunk batch read of fread.

The fread when reading as chunk batch it will obviously have part a part of a CSV row truncated. It is retained by declaring as a reference via callback. There are a lot of sources like Government census record, now popular Covid data, weather data and lot more.

This is a ruthless way of generating a sample data :- At this juncture Faker is worth mentioning. I didn't get a mail that there was a response to my mail. I have in the meantime just set my execution time and memory usage via script after consulting with our server experts. They raised it temporarily for me.

I was using a PHP Script to do the importing. If someone has a solution for this, it would be welcome for future occurrences of this. That is my actual problem. The thing is, I do not want only 1 record. I want all the lines, but I need to split the import into at a time. But because I split the execution to records at a time, I have to read all of them from the CSV, traverse the array, and start at, say and insert into the database.

Next time, I start at , and insert another in the database. But everytime, I need to read the entire file. I had the sys admins allow me to do that once-off. This is a semi-once-off import. We will do a whole dump once a month or so, and then future updates will be incremental, i.

The script was timing out, as I have said. Executing too long. The base question is, which seems a bit hidden in the thread, was whether I can read an arbitrary amount of lines, say, lines to , without having to read the entire file. That can probably be done, but I would need to ask the client to do that, and they may not like it. Perhaps it is not such a bad idea. I will see what they say. I wrote a class once to do a large csv import to mysql.

As long as the row names in your mysql table match those in the csv, you could use the script to bring it in to your database. You could even mod it a bit to check if there is already a record that matches something already in the db to keep it from putting duplicate info in. The method returns a file pointer as long as the file exists, otherwise it will return False in case of failure.

Create as well the variable that will store the current line number as we'll iterate over the rows with an entry controlled loop while. With a while loop, we will iterate over every single row of the file, verifying the condition that fgets always return some content.

The fgets function of PHP returns a line from an open file with fopen and it returns false when there's nothing left to read. Having the basic stuff implemented, you will be ready to modify the script to do whatever you need to do with the best possible performance in PHP:. Interested in programming since he was 14 years old, Carlos is a self-taught programmer and founder and author of most of the articles at Our Code World.

Generally, validation on a CSV file will be done to check whether it has the standard format definition. The following conditions have to be applied to a CSV input file to check whether it is valid or not.

Added to that, you can add additional validation based on your application requirement. For example,. In a previous tutorial, we have seen how to validate an uploaded image file in PHP.

In this script, the validation made to check the CSV file extension, size. If the validation process is not returning TRUE then the error message will be displayed to the user as shown in the below screenshot. While processing large CSV file import, there are ways like command line execution, query execution and more.

If you can this LOAD, then this is the better choice as it gives the best performance. Before running this program, make sure that you have created the required target database and table.

Import the following SQL script to process import by running this example in your environment. Note: If the —secure-file-priv option is enabled in your MySQL configuration, then this program will work only if the input CSV file is located in the directory as specified in the —secure-file-priv settings.

In a previous tutorial, we have seen how to split an excel file into multiple files. Splitting will be required while dealing with large Excel or CSV file. In this section, I am showing how to split a CSV file into multiple files. It accepts the input data, regex pattern and mode of operations and more parameters.

The SplFileObject class which gives an object-oriented interface for a file. Using this the target object is created to put the splitted records into the target.

This issue could be resolved by setting the charset while reading CSV. In the below script, the PHP iconv function is used to set the input and output charset for reading the actual data from the CSV. The parsed row data is put into the table columns by using PHP echo statements.

The table header could be identified by using the loop iteration index. Hence, the header data is differentiated from the other rows using CSS. So, I have created an input. The file content will be as shown as below. As like as the above example, we are going to use PHP fgetcsv function to read and process the CSV file data containing Comma in its value.

As per the syntax of the fgetcsv function, it receives character inputs for specifying the field delimiter, field enclosure and more.

As the default enclosure is the double quotes character, we need not specify those parameters while invoking fgetcsv. In a previous tutorial, we have seen how to export a database to a CSV file.