How To Export Sqlite To Excel

I'm having a database called :'Money' and a Table and I want to export it to excel (.csv).But i don't know how to export it ,please help me :( Here is 'comsumer' 's stucture : publ

Solution 1:

You can use Sqlite Browser for the same.

Download from the link http://sqlitebrowser.org/

Now open the sqlite file in the Sqlite browser.

Now you can export database to excel as shown in below image

Solution 2:

This has been discussed too many times on SO. A simple search would have given you the full solution.

As discussed here, you just need to iterate through the values using a cursor and write comma separated values to a file. If you have more than one row, just iterate through them, build new dataString and perform out.write(dataString).

String columnString ="\"Col1\",\"Col2\",\"Col3\",\"Col4\"";
String dataString   ="\""+ var1 +"\",\""+ var2 +"\",\""+ var3 +"\",\""+ var4+"\"";
String combinedString       =   columnString +"\n"+ dataString;

File file   = null;
File root   =Environment.getExternalStorageDirectory();
if (root.canWrite()) {
    File dir    =   new File (root.getAbsolutePath() +"/PersonData");
    dir.mkdirs();
    file   =   new File(dir, "Data.csv");
    FileOutputStream out   =   null;
    try {
        out = new FileOutputStream(file);
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    }
    try {
        out.write(combinedString.getBytes());
    } catch (IOException e) {
        e.printStackTrace();
    }
    try {
        out.close();
    } catch (IOException e) {
        e.printStackTrace();
    }
}

Also if you are writing to external storage, don't forget the permission in the manifest.

<uses-permissionandroid:name="android.permission.WRITE_EXTERNAL_STORAGE"></uses-permission>

Solution 3:

You can use the following python program to do so:

import os, fnmatch
import sqlite3
import pandas as pd

#creates a directory without throwing an errordefcreate_dir(dir):
  ifnot os.path.exists(dir):
    os.makedirs(dir)
    print("Created Directory : ", dir)
  else:
    print("Directory already existed : ", dir)
  returndir#finds files in a directory corresponding to a regex querydeffind(pattern, path):
    result = []
    for root, dirs, files in os.walk(path):
        for name in files:
            if fnmatch.fnmatch(name, pattern):
                result.append(os.path.join(root, name))
    return result



#convert sqlite databases(.db,.sqlite) to pandas dataframe(excel with each table as a different sheet or individual csv sheets)defsave_db(dbpath=None,excel_path=None,csv_path=None,extension="*.sqlite",csvs=True,excels=True):
    if (excels==Falseand csvs==False):
      print("Atleast one of the parameters need to be true: csvs or excels")
      return -1#little code to find files by extensionif dbpath==None:
      files=find(extension,os.getcwd())
      iflen(files)>1:
        print("Multiple files found! Selecting the first one found!")
        print("To locate your file, set dbpath=<yourpath>")
      dbpath = find(extension,os.getcwd())[0] if dbpath==Noneelse dbpath
      print("Reading database file from location :",dbpath)

    #path handling

    external_folder,base_name=os.path.split(os.path.abspath(dbpath))
    file_name=os.path.splitext(base_name)[0] #firstname without .
    exten=os.path.splitext(base_name)[-1]   #.file_extension

    internal_folder="Saved_Dataframes_"+file_name
    main_path=os.path.join(external_folder,internal_folder)
    create_dir(main_path)


    excel_path=os.path.join(main_path,"Excel_Multiple_Sheets.xlsx") if excel_path==Noneelse excel_path
    csv_path=main_path if csv_path==Noneelse csv_path

    db = sqlite3.connect(dbpath)
    cursor = db.cursor()
    cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
    tables = cursor.fetchall()
    print(len(tables),"Tables found :")

    if excels==True:
      #for writing to excel(xlsx) we will be needing this!try:
        import XlsxWriter
      except ModuleNotFoundError:
        !pip install XlsxWriter

    if (excels==Trueand csvs==True):
      writer = pd.ExcelWriter(excel_path, engine='xlsxwriter')
      i=0for table_name in tables:
          table_name = table_name[0]
          table = pd.read_sql_query("SELECT * from %s" % table_name, db)
          i+=1print("Parsing Excel Sheet ",i," : ",table_name)
          table.to_excel(writer, sheet_name=table_name, index=False)
          print("Parsing CSV File ",i," : ",table_name)
          table.to_csv(os.path.join(csv_path,table_name + '.csv'), index_label='index')

      writer.save()


    elif excels==True:
      writer = pd.ExcelWriter(excel_path, engine='xlsxwriter')
      i=0for table_name in tables:
          table_name = table_name[0]
          table = pd.read_sql_query("SELECT * from %s" % table_name, db)
          i+=1print("Parsing Excel Sheet ",i," : ",table_name)
          table.to_excel(writer, sheet_name=table_name, index=False)

      writer.save()

    elif csvs==True:
      i=0for table_name in tables:
          table_name = table_name[0]
          table = pd.read_sql_query("SELECT * from %s" % table_name, db)
          i+=1print("Parsing CSV File ",i," : ",table_name)
          table.to_csv(os.path.join(csv_path,table_name + '.csv'), index_label='index')
    cursor.close()
    db.close()
    return0
save_db();