Convert date in Databricks - JD Edwards Julian date to calendar date
How to load data (CSV file) in databricks delta table using Excel, VBA and DSN
1. Create DSN using Simba driver on your machine
2. Get token and password from databricks
3. CSV column header Name must be same as table's columns header.
Sub UploadDataToSQLServer_Dynamic()
' Define variables
Dim sFile As String
Dim Cn As ADODB.Connection
Dim UploadQuery As String
Dim fso As Object
Dim ts As Object
Dim line As String
Dim DataArray() As String
Dim i As Long
Dim batchCounter As Long
Dim batchSize As Long
Dim batchQuery As String
Dim headerArray() As String
Dim numColumns As Integer
Dim columnList As String
Dim StartTime As Double
StartTime = Timer
' Get the CSV file to upload
sFile = Application.GetOpenFilename("CSV Files (*.csv), *.csv", , "Select CSV File to Upload")
If sFile = "False" Then Exit Sub ' User canceled the file selection
' Open the CSV file
Set fso = CreateObject("Scripting.FileSystemObject")
Set ts = fso.OpenTextFile(sFile, 1) ' 1 for reading
' Establish connection to SQL Server (replace details with your own)
dsnName = "YourDSNName"
Set Cn = New ADODB.Connection
Cn.Open "DSN=" & dsnName & ";Uid=YorrTokenFromDataBricks;Pwd=YourPassWord from Databricks ;"
' Initialize variables
batchCounter = 0
batchSize = 80
TableName = "DatabaseName.TableName"
UploadQuery = "INSERT INTO " & TableName & "("
' Read the header row to determine the number of columns
If Not ts.AtEndOfStream Then
line = ts.ReadLine
headerArray = Split(line, ",")
numColumns = UBound(headerArray) + 1
columnList = Join(headerArray, ", ")
UploadQuery = UploadQuery & columnList & ") "
End If
' Initialize the batch query
batchQuery = ""
' Read and process the CSV file
i = 0
Do Until ts.AtEndOfStream
line = ts.ReadLine
DataArray = Split(line, ",")
' Build the SELECT part dynamically based on data types (modify as needed)
If UBound(DataArray) = UBound(headerArray) Then
batchQuery = batchQuery & "SELECT "
For j = 0 To numColumns - 1
batchQuery = batchQuery & "'" & Replace(DataArray(j), "'", "''") & "'"
If j < numColumns - 1 Then
batchQuery = batchQuery & ", "
End If
Next j
batchQuery = batchQuery & " UNION ALL " & Chr(10)
batchCounter = batchCounter + 1
' Check if batch size is reached
If batchCounter >= batchSize Then
' Remove the last 'UNION ALL' and execute the batch query
If Len(batchQuery) > 0 Then
batchQuery = Left(batchQuery, Len(batchQuery) - Len(" UNION ALL " & Chr(10)))
' Debug.Print UploadQuery & Chr(10) & batchQuery
Cn.Execute UploadQuery & Chr(10) & batchQuery
End If
' Reset the batch variables
batchQuery = ""
batchCounter = 0
End If
End If
i = i + 1
Loop
' Execute any remaining batch query
If batchCounter > 0 And Len(batchQuery) > 0 Then
batchQuery = Left(batchQuery, Len(batchQuery) - Len(" UNION ALL " & Chr(10)))
Debug.Print UploadQuery & Chr(10) & batchQuery
Cn.Execute UploadQuery & Chr(10) & batchQuery
End If
' Close the text stream
ts.Close
' Close the connection
Cn.Close
' Inform user of successful upload
MsgBox Format((Timer - StartTime) / 86400, "hh:mm:ss") & " Data upload to Databricks SQL completed!", vbInformation
' Clean up
Set Cn = Nothing
Set fso = Nothing
Set ts = Nothing
End Sub
A user-defined function (UDF) is a means for a user to extend the native capabilities of Apache Spark™ SQL. SQL on Databricks has supported external user-defined functions written in Scala, Java, Python and R programming languages since 1.3.0. While external UDFs are very powerful, they also come with a few caveats:
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html
Modern data platforms store and collect an incredible amount of both useful data and metadata. However, even knowing the metadata itself might be not useful for the end-users who don’t have enough experience with classical components of a relation-based data model. One of the challenges is not only the ability to write proper SQL statements to select the relevant information but also understanding of what needs to be joined (and how exactly this shall be done) even to get the simplest insights (e.g. top-5 customers from a given region by the number of orders).
https://polarpersonal.medium.com/using-openai-with-databricks-sql-for-queries-in-natural-language-cf6521e88148
COPY INTO delta.`abfss://container@storageAccount.dfs.core.windows.net/deltaTables/target` FROM (SELECT key, index, textData, 'constant_value' FROM 'abfss://container@storageAccount.dfs.core.windows.net/base/path') FILEFORMAT = CSV PATTERN = 'folder1/file_[a-g].csv' FORMAT_OPTIONS('header' = 'true') -- The example below loads CSV files without headers on ADLS Gen2 using COPY INTO. -- By casting the data and renaming the columns, you can put the data in the schema you want COPY INTO delta.`abfss://container@storageAccount.dfs.core.windows.net/deltaTables/target` FROM (SELECT _c0::bigint key, _c1::int index, _c2 textData FROM 'abfss://container@storageAccount.dfs.core.windows.net/base/path') FILEFORMAT = CSV PATTERN = 'folder1/file_[a-g].csv'
https://docs.databricks.com/en/ingestion/copy-into/examples.html
ALTER TABLE enterprise_db.tblmf_sources SET TBLPROPERTIES (
Remove:- dbutils.widgets.removeAll()
This code generated by chat.openai.com and this code is for databricks notebook. I modified according to my need.
%python
EXEC [SERVER NAME].[DATABASE NAME].DBO.SP_HELPTEXT 'Stored Proc Name'
Databricks SQL Useful Shortcut
Ctrl+Shift+L : List tables in the current database.
Ctrl+Shift+T : Create a new table.
Ctrl+Shift+D : Drop a table.
Ctrl+Shift+U : Update a table.
Ctrl+Shift+I : Insert a row into a table.
Ctrl+Shift+D : Delete a row from a table.
Ctrl+Shift+F : Filter data in a table.
Ctrl+Shift+S : Sort data in a table.
Ctrl+Shift+P : Perform a SQL query.
Databricks notebook shortcut
Ctrl+Enter : Run the current cell.
Shift+Enter : Run the current cell and move to the next cell.
Ctrl+Alt+p : Create a cell above the current cell.
Ctrl+Alt+n : Create a cell below the current cell.
Ctrl+Z : Undo the last action.
Ctrl+Y : Redo the last action.
Ctrl+A : Select all text in the current cell.
Ctrl+C : Copy the selected text.
Ctrl+V : Paste the copied text.
Ctrl+X : Cut the selected text.
Ctrl+L : Show or hide line numbers.
Ctrl+K : Comment out the selected text.
Ctrl+U : Uncomment the selected text.
Ctrl+Shift+F : Format the code in the current cell.
Ctrl+Shift+B : Run all cells in the current notebook.
Ctrl+Shift+S : Save the current notebook.
Ctrl+Shift+G : Go to line number.
Ctrl+Shift+H : Find and replace text.
Ctrl+Shift+P : Open the command palette.
Ctrl+Shift+Q : Quit Databricks.
Alt + Enter: Run the current cell and insert a new one below it
Esc + 0: Restart the kernel
Esc + M: Convert the current cell to a Markdown cell
Esc + Y: Convert the current cell to a code cell
Esc + A: Insert a new cell above the current cell
Esc + B: Insert a new cell below the current cell
Esc + X: Cut the current cell
Esc + C: Copy the current cell
Esc + V: Paste the cell that was cut or copied
Esc + D, D: Delete the current cell
A command line executable for SQL Server is a file that can run SQL queries or scripts using a command-line utility such as sqlcmd123. It usually has an extension like .sql or .bat. To run a command line executable for SQL Server, you need to know its file path and use the appropriate syntax for your utility. For example:
In sqlcmd, you can use the -i option to specify the input file name. For example: sqlcmd -S server_name -d database_name -i C:\Scripts\script.sql
In a batch file, you can use the sqlcmd command with the input file name as an argument. For example: sqlcmd -S server_name -d database_name -i C:\Scripts\script.sql
You can also pass other options to the sqlcmd utility, such as -o to specify the output file name, -v to define variables, or -q to execute a query directly. For more information on sqlcmd options, see here.
If you want to create your own command line executable for SQL Server, you can
