In SQLite, the BLOB (Binary Large Object) data type is used to store binary data such as images, audio files, or any other non – text data.<\/p>\n
You can create a table with a BLOB column to store binary data. For example, to create a table named files for storing files and their binary content, you can use the following SQL statement: You can insert binary data into a BLOB column using programming languages that interact with SQLite. Here’s an example using Python and the sqlite3 library:<\/p>\n You can use DBBlobEditor <\/a>to Batch insert SQLite table BLOB data from files<\/a><\/p>\n When querying binary data from a BLOB column, you can retrieve the data and save it to a file. Here’s a Python example:<\/p>\n You can use DBBlobEditor <\/a>to Batch export SQLite table BLOB data to files<\/a><\/p>\n Storage<\/strong>: Storing large BLOB data can cause the database file to grow rapidly. You may want to consider storing files on the file system and only keeping references (such as file paths) in the database. Images can be stored as SQLite BLOB data<\/a>.<\/p>\n You can store the media (Audio<\/a> and Video<\/a>) files SQLite BLOB data.<\/p>\n You can store various types of documents such as PDFs<\/a>, Word documents<\/a>, and Excel spreadsheets<\/a> SQLite BLOB data.<\/p>\n In summary, SQLite’s BLOB data type allows you to store binary data, but you need to be aware of storage and performance issues when using it.<\/p>\n
\n
\nCREATE TABLE files (
\nid INTEGER PRIMARY KEY AUTOINCREMENT,
\nfile_name TEXT,
\nfile_content BLOB
\n);
\n<\/code><\/p>\n2. Inserting Binary Data into a BLOB Column<\/h3>\n
import sqlite3\r\nimport os\r\n\r\n# Connect to the SQLite database\r\nconn = sqlite3.connect('your_database.db')\r\ncursor = conn.cursor()\r\n\r\n# Read the binary file\r\nfile_path = 'example.jpg'\r\nwith open(file_path, 'rb') as file:\r\n binary_data = file.read()\r\n\r\n# Insert the binary data into the table\r\ncursor.execute(\"INSERT INTO files (file_name, file_content) VALUES (?,?)\",\r\n (os.path.basename(file_path), binary_data))\r\n\r\nconn.commit()\r\nconn.close()\r\n<\/pre>\n3. Querying Binary Data from a BLOB Column<\/h3>\n
import sqlite3\r\n\r\n# Connect to the SQLite database\r\nconn = sqlite3.connect('your_database.db')\r\ncursor = conn.cursor()\r\n\r\n# Query the binary data\r\ncursor.execute(\"SELECT file_content FROM files WHERE id = 1\")\r\nresult = cursor.fetchone()\r\n\r\nif result:\r\n binary_data = result[0]\r\n # Save the binary data to a file\r\n with open('retrieved.jpg', 'wb') as file:\r\n file.write(binary_data)\r\n\r\nconn.close()\r\n<\/pre>\n
\nPerformance<\/strong>: Inserting and retrieving large BLOB data can be slow, especially for large – scale applications. You should optimize your code and database access patterns to handle such operations efficiently.<\/p>\nHere are some common use cases for storing binary data using the SQLite BLOB data type:<\/h2>\n
1. Storing Images<\/h3>\n
2. Audio and Video Storage<\/h3>\n
3. Document Storage<\/h3>\n