如何将sqlite导出为ex​​cel

Question

我有一个名为“Money”的数据库和一个表，我想把它导出到excel（.csv）。但是我不知道如何导出它，请帮助我：（

这是“comsumer”的结构：

public static final String DATABASE_KhoanChi = "CREATE TABLE "
            + KhoanChiTable + "(" + colkcID
            + " INTEGER PRIMARY KEY AUTOINCREMENT, " + mathloaichi
            + " TEXT, " + colsotienkc + " Integer, " + colngaychi
            + " Date NOT NULL,FOREIGN KEY (" + mathloaichi + ") REFERENCES "
            + TheloaichiTable + " (" + coltlcID + "));";

Answer 1

您可以使用Sqlite浏览器。

从链接http://sqlitebrowser.org/

下载

现在在Sqlite浏览器中打开sqlite文件。

现在您可以将数据库导出到excel，如下图所示

Answer 2

在SO上已经讨论过太多次了。简单的搜索可以为您提供完整的解决方案。

正如所讨论的here，您只需要使用游标迭代值并将逗号分隔值写入文件。如果您有多行，只需遍历它们，构建新的dataString并执行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();
    }
}

此外，如果您要写入外部存储空间，请不要忘记清单中的权限。

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

Answer 3

您可以使用以下python程序来这样做：

import os, fnmatch
import sqlite3
import pandas as pd

#creates a directory without throwing an error
def create_dir(dir):
  if not os.path.exists(dir):
    os.makedirs(dir)
    print("Created Directory : ", dir)
  else:
    print("Directory already existed : ", dir)
  return dir

#finds files in a directory corresponding to a regex query
def find(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)
def save_db(dbpath=None,excel_path=None,csv_path=None,extension="*.sqlite",csvs=True,excels=True):
    if (excels==False and csvs==False):
      print("Atleast one of the parameters need to be true: csvs or excels")
      return -1

    #little code to find files by extension
    if dbpath==None:
      files=find(extension,os.getcwd())
      if len(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==None else 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==None else excel_path
    csv_path=main_path if csv_path==None else 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==True and csvs==True):
      writer = pd.ExcelWriter(excel_path, engine='xlsxwriter')
      i=0
      for table_name in tables:
          table_name = table_name[0]
          table = pd.read_sql_query("SELECT * from %s" % table_name, db)
          i+=1
          print("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=0
      for table_name in tables:
          table_name = table_name[0]
          table = pd.read_sql_query("SELECT * from %s" % table_name, db)
          i+=1
          print("Parsing Excel Sheet ",i," : ",table_name)
          table.to_excel(writer, sheet_name=table_name, index=False)

      writer.save()

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

Answer 4

使用SQLLiteManager可以导出