Конвертировать excel в sqlite

Conversion methods

                    java -jar client-0.0.5.jar convert --output-format=sqlite file.xlsx output-dir/
                

curl -F files[]=@file.xlsx 'https://www.rebasedata.com/api/v1/convert?outputFormat=sqlite&errorResponse=zip' -o output.zip

How long does it take?

The conversion process takes between 15 seconds and multiple minutes. It depends on the size of the database.

You can also use your favourite tool

• Read Excel using PHP
• Read Excel using Python
• Read Excel using Ubuntu

Why use RebaseData?

• Strong security.
• Convert online without installing Microsoft Excel.
• Works with Windows, Mac and Linux.
• Use an API to convert your databases.
• Professional support.

Terms

• We don’t guarantee for the success or correctness of the conversion
• You are only allowed to convert your own database files
• By using RebaseData, you agree to our general terms

We pride ourselves in building software that’s easy to use, but security is also our top priority.

We understand that some data uploaded might be sensitive, so we ensure that your data is only kept when needed.

We follow widely accepted industry standard practices when it comes to security:

• HTTPS is enforced for all communications with our server
• We enforce a strict access policy and employees or external collaborators
  never have access
  to user data
• All data is always encrypted at rest
• All data is automatically deleted forever
  24 hours after being uploaded.

We allow time before deleting files just in case you’re not done with the data, if you’re done with viewing or converting a file and want to delete it right away, you can do it yourself through the API.

Note that all files files uploaded without an account are acessible by a unique URL that is hidden but accesible by anyone, so we recommend you to sign up with an account if you want your files to be private, only your account will be able to access your files.

The ESF Database Migration Toolkit is a robust and efficient solution for migrating data between various database formats, including MS Excel and SQLite.

This guide will show you how to easily migrate data from MS Excel to SQLite through a few simple steps of a wizard, streamlining complex migration processes and saving you valuable time.

Software Required:

System Supported:

• Windows 7 or higher.
• MS Excel 97 or higher.
• SQLite 2 or higher.

Introduction:

1. In «Choose a Data Source» dialog, Choose «Microsoft Excel(*.xls;*.xlsx)»;

• Click on the «…» button.
• Choose the Microsoft Excel (.xls or .xlsx) file that you want to use as the destination for the migrated data.
  

2. In «Choose a Destination» dialog, Choose «SQLite»;

• Click «…» button to select the SQLite database file.
  

3.In «Select source Tables(s) & View(s)» dialog;

• Select the tables or views you want to migrate.
  
• You can access the table options or adjust the table structure by clicking the «…» button.
  
• In the «Field Mapping» option, you can customize the destination table’s fields, such as field name, data type, default value, comment, and more. You also have the option to choose the data transfer method, including Overwrite Table, Empty Data, Append Data, or Skip Table, or even filter the data before transferring it.

4. In «Execution» Dialog;

• You can start the migration process by clicking «Submit». The toolkit will efficiently and seamlessly migrate your data from MS Excel to SQLite without the need for manual intervention.
  
• To keep track of the migration process, you can access the full migration log by clicking «Browse Log». This will provide you with a comprehensive view of the entire migration, including any potential issues and their resolutions.
• To save time in the future, you can save the migration settings as a job file by clicking «Save as job». This allows you to quickly reload the migration job at a later time or run the migration job using the command-prompt by typing «dmtc.exe —help». The command-prompt provides you with a full list of parameters to customize the migration process to your specific needs.

5.Finished!

Upon completion, the toolkit will generate a comprehensive migration report, providing you with all the information you need to verify the accuracy and completeness of the migration process. So, you can sit back and relax while the program carries out the task efficiently. Should you have any inquiries or recommendations, don’t hesitate to reach out to us. We’re always happy to help.

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Similar migrations

Try this fresh code exceltosql:

'''
This code uses the openpyxl package for playing around with excel using Python code
to convert complete excel workbook (all sheets) to an SQLite database
The code assumes that the first row of every sheet is the column name
Every sheet is stored in a separate table
The sheet name is assigned as the table name for every sheet
'''

import sqlite3
import openpyxl
from openpyxl import load_workbook
import re

def slugify(text, lower=1):
    if lower == 1:
        text = text.strip().lower()
    text = re.sub(r'[^w _-]+', '', text)
    text = re.sub(r'[- ]+', '_', text)
    return text

#Replace with a database name
con = sqlite3.connect('test.db')
#replace with the complete path to youe excel workbook
wb = load_workbook(filename=r'abc.xlsx')

sheets = wb.get_sheet_names()

for sheet in sheets:
    ws = wb[sheet] 

    columns= []
    query = 'CREATE TABLE ' + str(slugify(sheet)) + '(ID INTEGER PRIMARY KEY AUTOINCREMENT'
    for row in ws.rows[0]:
        query += ', ' + slugify(row.value) + ' TEXT'
        columns.append(slugify(row.value))
    query += ');'

    con.execute(query)

    tup = []
    for i, rows in enumerate(ws):
        tuprow = []
        if i == 0:
            continue
        for row in rows:
            tuprow.append(unicode(row.value).strip()) if unicode(row.value).strip() != 'None' else tuprow.append('')
        tup.append(tuple(tuprow))


    insQuery1 = 'INSERT INTO ' + str(slugify(sheet)) + '('
    insQuery2 = ''
    for col in columns:
        insQuery1 += col + ', '
        insQuery2 += '?, '
    insQuery1 = insQuery1[:-2] + ') VALUES('
    insQuery2 = insQuery2[:-2] + ')'
    insQuery = insQuery1 + insQuery2

    con.executemany(insQuery, tup)
    con.commit()

con.close()

Excel-to-sqlite

Convert excel documents to sqlite!

Dependencies

• Sqlite3: 5.0.0
• Xlsx: 0.16.4

Documentation / usage

Navigation

• Main
  • Loading your excel
  • Sheet names
  • Read One Sheet
    • Get sheet data
    • Save sheet to sqlite
  • Read All Sheets
    • Get data of all sheets
    • Save whole excel
  • _xlsx

Firstly, load the package.

const excelToSqlite = require("excel-to-sqlite");

The export of excel-to-sqlite is one function, with one parameter: excelPath.

Loading your excel

The path must me absolute, like __dirname. This example uses path.

const path = require("path");
let excelPath = path.join(__dirname, "test.xlsx"); // File "test.xlsx" in the current directory
let excel = excelToSqlite(excelPath);

Sheet names

After you used the excelToSqlite function, you can use the property sheets to get a string array of all the sheet names.

let sheets = excel.sheets;
console.log(sheets);

Read One Sheet

To read one sheet, use the method readSheet afer you used the excelToSqlite function. It has one parameter: The name of the sheet.

The name of the sheet is case-sensitive!

let sheet = excel.readSheet("Sheet1"); // Read "Sheet1".

Data

To get the data of the current sheet, use the property data on sheet.

let data = sheet.data;

To get the json data, use the method getJSON.

let json = sheet.getJSON();

Output

[
  Sheet1: [
    {column_1_name: "value", column_2_name: "value", ...},
    {column_1_name: "value", column_2_name: "value", ...}
  ]
]

Save sheet to SQLITE

To save the current sheet to sqlite, use the saveTo method. It has one parameter: The name of the sqlite file.

Warning: When saving to a database, a table with the same name as the current sheet will get deleted.

To change the name of the table in the sqlite database, set sheet._name to another string before calling the saveTo function.

This function returns a promise, that will be resolved with a database object of sqlite3.

// Save without changing the name
sheet.saveTo("database.sqlite").then((database) => {
  console.log(`Sheet ${sheet._name} saved in "database.sqlite"!`);
});

// Change the name for the table and then save
sheet._name = "lol";
sheet.saveTo("database.sqlite").then((database) => {
  console.log(`Sheet ${sheet._name} saved in "database.sqlite"!`);
});

Read All Sheets

To read all the sheets in an excel, use the readAll method.

let sheets = excel.readAll();

Data

To get all the data of all the sheets, use the property data. To convert your data to JSON, use the method getJSON.

let data = sheets.data;
let json = sheets.getJSON();

Output:
See Output

Saving Whole Excel

To save the whole excel in sqlite, use the saveTo method. It has one parameter, the name of the database.

This function returns a promise, that will be resolved with a database object of sqlite3.

Warning: When saving to a database, a table with the same name as a sheet will get deleted.

sheets.saveTo("database.sqlite").then((database) => {
  console.log("Whole database saved in sqlite!");
});

_xlsx

The property _xlsx is the output of xlsx.readFile.