Php edit flat file

By using these methods you can create any type of file, edit any file and delete any file. In this step we create three forms to create, edit and delete file. In first form user have to enter file name to create new file.

SleekDB can be compared with other flat file database systems because the final query output will be cached and later reused from a single file instead of traversing all the available files.

SleekDB is being used with many websites and applications which are in production right now. The core team consists of two developers. They actively maintain, contribute to, and develop the SleekDB Database. Join our Discord channel. We would love to know about you and your feedbacks. Stores data in plain-text utilizing JSON format, no binary conversion needed to store or fetch the data.

Default query cache layer. As it supports schema free data, so you can filter and use conditions on nested properties of the JSON documents! SleekDB will serve data from cache by default and regenerate cache automatically!

Query results will be cached and later reused from a single file instead of traversing all the available files. Use multiple conditional comparisons, text search, sorting on multiple properties and nested properties. SleekDB does not require any background process or network protocol in order to process data when you use it in a PHP project. All data for a query will be fetched at runtime within the same PHP process. SleekDB use files to store information. That makes tasks like backup, import and export very easy.

SleekDB is created by rakibtg who is using it in various types of applications which are in production right now. Our other contributor and active maintainer is Timucin who is making SleekDB much better in terms of code quality and new features. To install SleekDB using composer, open a terminal, cd into your project root directory where "composer. SleekDB should be auto loaded into your app using the composer. Find SleekDB on packagist.

To download older versions please check the releases. We do a lot of experiments on the dev branch, which are not properly documented and the API will not be consistence in some cases. Use from dev branch if you have any specific reason or if you want play around with it. Getting started with SleekDB is super easy. Each store contains multiple documents, which are equivalent to rows in SQL based relational database. Here "posts" is a store and "documents" are a collection of JSON files that contains all the blog posts.

With the release of version 2. Although, we are providing downwards compatibility in this version, but will remove the old SleekDB object with version 3. This documentation focus on the new API. The Store class is the first, and in most cases also the only part you need to come in contact with.

The QueryBuilder class is used to prepare a query. To execute it getQuery method can be used. The Cache class handles everything regarding caching. It will decide when to cache or not to cache. To begin with, we need a valid "path" where we want to store our data. Both absolute and relative paths are supported. Once we have the data directory, we can initialize the store. If the store doesn't exist it will be created automatically.

Optionally you can pass a configuration array as a third parameter. Read more about configurations. Inserting your first news article using the insert method. The article has to be an array. You just inserted your first data into a SleekDB store and also learned how to fetch them. You don't need to create a "store" directory manually. Creating an additional store; assuming we are working on a community platform, where need a users store too.

In the above example we have created a new user to understand the purpose of a store in SleekDB. In this documentation later we will see more examples on this. To delete a store use the deleteStore method. It deletes a store and wipes all the data and cache it contains. They are store wide, which means they will be used on every query, if not changed on a query by query base.

Note that you can manually manage caching on a query by query base with methods that SleekDB provides. Available caching method's are:. Note that you can specify the cache lifetime on a query by query base by using the useCache method of the QueryBuilder and pass a lifetime. Note: You will find more details on caching at Cache Management.

Set timeout value. Default value is seconds. Set the primary key into any string you want. On this documentation page we will provide you a brief description regarding the configuration options. The minimum length of a word within the search query that will be used for searching. Can be a string or null. If this configuration is null no field containing the score will be applied to the documents. If it is a string a new field with the specified field name will be applied to every document, which will contain the search score and can be used to for example sort the documents.

SleekDB provides 4 search algorithms. They are available as a constant of the Query class. For a more detailed documentation on Store object creation refer to the corresponding "Managing Store" documentation. Update or insert one document. Update or insert multiple documents. Returns either an array containing all documents of that store or an empty array if there are no documents. With this method SleekDB doesn't traverse through all files.

Instead, it accesses the file directly, what makes this method especially fast. One or multiple where conditions. Returns found documents in an array or an empty array if nothing is found. To edit a data object you can use the update and updateById method of the Store class. Update parts of a document. Array containing the parts to update. Update of nested values possible by using a dot between fieldNames Example 3 If a field does not exist in that document, it will be added.

Returns updated document on success or false if document could not be found. Note : The street is stored in a nested array. Update a whole document. Array containing fields to remove. Removal of nested fields possible by using a dot between fieldNames Example 3. To delete documents you can use the deleteBy and deleteById methods of the Store class.

This method returns based on the given return option either boolean , int or array. Returns true if document does not exist or deletion was successful or false on failure.

It is used to define one or multiple conditions to filter documents. Example: From our above users object if we want to target the "country" property of a user, then we would pass location. To apply the comparison filters we use this argument.

The condition is case insensitive. Data that will be checked against the property value of the JSON documents. Refer to the Working with Dates documentation to learn more about that. It is used to connect multiple conditions. Default: AND. Refer to the Official PHP documentation to learn more about closures and anonymous functions. The closure receives a document as parameter and has to return a boolean. In Example 4 below we use a closure. Find all news articles of the author "John" or "Smith", that have "cat" in their title.

With this example we show you the usage of closures to filter data. Every codeblock below does the same thing. The QueryBuilder is used to prepare more complex queries , not to execute the query!

With the getQuery method of the QueryBuilder class you can retrieve the Query object to execute the query. For more details on query execution please visit the Query page. Latest commit. Git stats 1, commits. Failed to load latest commit information. View code. Once you have located the file, navigate to the code view and click "Edit".

Releases 13 tags. Assume we have a file named "webdict. We just launched W3Schools videos. Get certified by completing a course today! If you want to report an error, or if you want to make a suggestion, do not hesitate to send us an e-mail:. Be careful when manipulating files! When you are manipulating files you must be very careful.