uweziegenhagen.de

import pandas as pd
 
df = pd.read_csv('Daten.csv', sep=';', decimal=',')
 
with open('Statements2.sql', 'w') as o:
    for index, row in df.iterrows():
        o.write('INSERT INTO aaaaaa('+ str(', '.join(df.columns))+ ') VALUES '+ str(tuple(row.values))+';\n')

\documentclass[12pt]{article}
\usepackage{xcolor}
\usepackage{arev}
\usepackage{attachfile}
 
 
\usepackage{tikz}
\usetikzlibrary{shapes,snakes}
\def\firstcircle{(0,0) circle (2cm)}
\def\secondcircle{(0:3cm) circle (2cm)}
 
\colorlet{circle edge}{blue!50}
\colorlet{circle area}{blue!20}
\colorlet{white area}{white}
 
\tikzset{
filled/.style={fill=circle area, draw=circle edge, thick},
outline/.style={draw=circle edge, thick},
white/.style={fill=white area, draw=circle edge, very thick}
}
 
\begin{document}
 
\textattachfile{\jobname.tex}{\LaTeX~Code}
 
\section{Inner Join}
 
Inner joins return those records, that are present in table 1 and table 2.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Inner Join
    \begin{scope}
        \clip \firstcircle;
        \fill[filled] \secondcircle;
    \end{scope}
    \draw[outline] \firstcircle node {A};
    \draw[outline] \secondcircle node {B};
\end{tikzpicture}
\end{center}
 
\section{Left Join}
 
Every record from table 1 is returned, regardless if it has a matching record in table 2. If the record has a matching record in table 2 this record from table 2 is returned as well.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Left Join
    \begin{scope}
        \clip \firstcircle;
        \draw[filled] \firstcircle node {A}
                                     \secondcircle;
    \end{scope}
    \draw[outline] \firstcircle
                   \secondcircle node {B};
\end{tikzpicture}
\end{center}
 
\clearpage
 
\section{Left Outer Join}
 
Those records from table 1 are returned, that do not have a match in table 2.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Left Outer Join
    \draw[filled] \firstcircle node {A};
    \draw[white] \secondcircle node {B};
    \draw[outline] \firstcircle node {A};
\end{tikzpicture}
\end{center}
 
\section{Right Join}
 
Every record from table 2 is returned, regardless if it has a matching record in table 1. If the record has a matching record in table 1 this record from table 1 is returned as well.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Right Join
    \begin{scope}
        \clip \secondcircle;
        \draw[filled] \firstcircle \secondcircle node {B};
    \end{scope}
    \draw[outline] \firstcircle node {A} \secondcircle;
\end{tikzpicture}
 
\end{center}
 
\clearpage
 
\section{Right Outer Join}
 
Those records from table 2 are returned, that do not have a match in table 1.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Right Join 2
    \draw[filled]   \secondcircle node {B};
    \draw[white]  \firstcircle node {A};
    \draw[outline] \secondcircle node {B};
\end{tikzpicture}
\end{center}
 
 
 
\section{Theta Join}
 
Every row from dataset 1 is multiplied by every row of dataset 2. Usually a mistake unless you really want this Cartesian product.
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Theta
    \draw[filled] \firstcircle node {A} \secondcircle node {B};
\end{tikzpicture}
\end{center}
 
\clearpage
 
\section{Full Outer}
 
Returns all records from table 1 and table 2 regardless if they have matches in the other table. Records, that do match, are linked together via key. 
 
\begin{center}
\begin{tikzpicture}[scale=1, every node/.style={scale=1}] % Full Outer
    \draw[filled] \firstcircle node {A};
    \draw[filled] \secondcircle node {B};
    \begin{scope}
        \clip \firstcircle;
         \fill[white] \secondcircle;
        \draw[outline] \secondcircle;  
        \draw[outline] \firstcircle;  
    \end{scope}
\end{tikzpicture}
\end{center}
 
\end{document}

SELECT n.Name, a.Adresse FROM Namen n JOIN Adressen a ON n.ID = a.NameID ;

SELECT n.Name, a.Adresse FROM Namen n JOIN Adressen a ON n.ID = a.NameID ;

SELECT n.Name, a.Adresse FROM Namen n
LEFT JOIN (SELECT MAX(ID) ID, MIN(NameID) NameID, MIN(Adresse) Adresse FROM Adressen GROUP BY NameID) a
ON n.ID = a.NameID

CREATE TABLE #test(datum DATE, VALUE INT)
 
INSERT INTO #test VALUES('2010-01-01',10)
INSERT INTO #test VALUES('2010-01-02',20)
INSERT INTO #test VALUES('2010-01-02',30)
 
SELECT t1.*, (SELECT SUM(VALUE) FROM #test t2 WHERE t2.datum<=t1.datum) [cumulative amount]
FROM #test t1
ORDER BY t1.datum
DROP TABLE #test

DROP TABLE #data
CREATE TABLE #data(NUMBER FLOAT)
 
INSERT INTO #data VALUES(1.0);INSERT INTO #data VALUES(2.0);
INSERT INTO #data VALUES(3.0);INSERT INTO #data VALUES(4.0);
INSERT INTO #data VALUES(5.0);INSERT INTO #data VALUES(6.0);
INSERT INTO #data VALUES(7.0);INSERT INTO #data VALUES(8.0);
INSERT INTO #data VALUES(9.0);INSERT INTO #data VALUES(10.0);
INSERT INTO #data VALUES(11.0);INSERT INTO #data VALUES(12.0);
INSERT INTO #data VALUES(13.0);INSERT INTO #data VALUES(14.0);
INSERT INTO #data VALUES(15.0);INSERT INTO #data VALUES(16.0);
INSERT INTO #data VALUES(17.0);INSERT INTO #data VALUES(18.0);
INSERT INTO #data VALUES(19.0);INSERT INTO #data VALUES(20.0);
INSERT INTO #data VALUES(21.0);INSERT INTO #data VALUES(22.0);
INSERT INTO #data VALUES(23.0);INSERT INTO #data VALUES(24.0);
INSERT INTO #data VALUES(25.0);INSERT INTO #data VALUES(26.0);
INSERT INTO #data VALUES(27.0);INSERT INTO #data VALUES(28.0);
INSERT INTO #data VALUES(29.0);INSERT INTO #data VALUES(30.0);
INSERT INTO #data VALUES(31.0);INSERT INTO #data VALUES(32.0);
INSERT INTO #data VALUES(33.0);INSERT INTO #data VALUES(34.0);
INSERT INTO #data VALUES(35.0);INSERT INTO #data VALUES(36.0);
INSERT INTO #data VALUES(37.0);INSERT INTO #data VALUES(38.0);
INSERT INTO #data VALUES(39.0);INSERT INTO #data VALUES(40.0);
INSERT INTO #data VALUES(-100.0);INSERT INTO #data VALUES(100.0);
 
DECLARE @median FLOAT
DECLARE @perc25 FLOAT
DECLARE @perc75 FLOAT
DECLARE @iqr FLOAT
 
SET @median = (SELECT   MAX(NUMBER) AS Median FROM (SELECT TOP 50 PERCENT NUMBER FROM #data ORDER BY NUMBER) a)
SET @perc25 = (SELECT   MAX(NUMBER) AS Median FROM (SELECT TOP 25 PERCENT NUMBER FROM #data ORDER BY    NUMBER) a)
SET @perc75 = (SELECT   MAX(NUMBER) AS Median FROM (SELECT TOP 75 PERCENT NUMBER FROM #data ORDER BY    NUMBER) a)
 
print @median
print @perc25
print @perc75
 
SET @iqr = @perc75-@perc25
print 'IQR'
print @iqr
 
SELECT * FROM #data WHERE NUMBER <  (@median + 1.5* @iqr) AND 
NUMBER >  (@median - 1.5* @iqr)
 
print 'number of outliers'
SELECT COUNT(*) FROM #data WHERE NUMBER <  (@median - 1.5* @iqr)
OR NUMBER >  (@median + 1.5* @iqr)

# open connection to the server
$conn = New-Object System.Data.SqlClient.SqlConnection("Data Source=localhost; Initial Catalog=Posh; Integrated Security=SSPI")
$conn.Open()
 
# create command object
$cmd = $conn.CreateCommand()
# create statement
$cmd.CommandText ="INSERT myTable VALUES ('Hello', 'World', 123)"
# execute command
$cmd.ExecuteNonQuery()
# close connection
$conn.Close()

-- Erstelle Tabelle
CREATE TABLE [dbo].[Bilder](
	[ID] [INT] NULL,
	[ID2] [INT] NULL,
	[DATA] [image] NULL
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
 
-- Füge Bild ein
INSERT INTO Bilder 
VALUES (1,2,(SELECT binary_data 
FROM OPENROWSET(Bulk 'c:/test.jpg', SINGLE_BLOB) 
AS F(binary_data)))

    $Server = '127.0.0.1' 
    $Database = 'Skript'
    $sqlCon = New-Object Data.SqlClient.SqlConnection
    $sqlCon.ConnectionString = "Data Source=$server;Integrated Security=True;Initial Catalog=$Database"
    $sqlCon.open()
    $sqlCmd = New-Object Data.SqlClient.SqlCommand
    $sqlCmd.Connection = $sqlCon
    $sqlCmd.CommandType = CommandType.Text
    $sqlCmd.CommandText = "SELECT Wert FROM Test"
    $sqlCmd.ExecuteReader() |% {$_.GetString(0)}

SELECT [Name]
FROM [DATABASE].[namestable]
WHERE ASCII(SUBSTRING([NAME],2,1)) BETWEEN 65 AND 90