hi
other ways to BYPASS = SSIS Import/Export
+++++++++++++++++++++++++++++++++++++++++++++++
==PowerShell
$query = @"
SELECT
ID,
Name,
CAST(ImageColumn AS VARBINARY(MAX)) AS ImageColumn
FROM YourTable
"@
Invoke-Sqlcmd `
-ServerInstance "YOUR_SERVER" `
-Database "YOUR_DATABASE" `
-Query $query |
Export-Csv "C:\temp\output.csv" -NoTypeInformation
++++++++++++++++++++++++++++++++++++++++++++++++++++
==Python
import pyodbc
import pandas as pd
# SQL Server connection
conn = pyodbc.connect(
"DRIVER={SQL Server};"
"SERVER=YOUR_SERVER;"
"DATABASE=YOUR_DATABASE;"
"Trusted_Connection=yes;"
)
# Convert IMAGE column to VARBINARY(MAX)
query = """
SELECT
ID,
Name,
CAST(ImageColumn AS VARBINARY(MAX)) AS ImageColumn
FROM YourTable
"""
# Read into dataframe
df = pd.read_sql(query, conn)
# Export CSV
df.to_csv("output.csv", index=False)
print("Export complete")
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
==Export From a VIEW
Create a view that converts the problematic columns first.
CREATE VIEW dbo.ExportViewAS
SELECT ID, Name, CAST(ImageColumn AS VARBINARY(MAX)) AS ImageColumn
FROM dbo.YourTable
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
== Use bcp Command Line Tool
bcp is faster and handles weird datatypes better than the wizard.
bcp "SELECT ID, Name,CAST(ImageColumn AS VARBINARY(MAX)) FROM YourDatabase.dbo.YourTable"queryout "C:\temp\export.csv" ^-c -t, -T -S YOURSERVER
++++++++++++++++++++++++++++++++++++++++++++++++++++++++
== Export as XML
SELECT
ID, Name, CAST(ImageColumn AS VARBINARY(MAX)) AS ImageColumn
FROM YourTable
FOR XML PATH('row'), ROOT('data')
Then later convert XML → CSV using Python.
