This is a good explanation how to use SQL Server native libraries to convert XML to a relational format and vice versa. It definitely works for simple XML. However, this manual approach can be quite cumbersome when dealing with complex XML. I am talking about industry data standards such as HL7, FpML, ACORD, FIXML, NDC etc. etc. The specs are typically a few thousand pages long. If you have large volumes of XMLs and a streaming requirement things don't get easier. The same is true for frequently changing XML files or where you don't have an XSD. I have written up a blog post that looks into all these items and automatically converts complex FIXML to MS SQL Server -fixml-to-sql-server/
The following example exports data using Azure AD Username and Password where user and password is an AAD credential. The example exports table bcptest from database testdb from Azure server aadserver.database.windows.net and stores the data in file c:\last\data1.dat:
convert sql server database to xml download
The following example imports data using Azure AD Username and Password where user and password is an AAD credential. The example imports data from file c:\last\data1.dat into table bcptest for database testdb on Azure server aadserver.database.windows.net using Azure AD User/Password:
The following example exports data using Azure AD-Integrated account. The example exports table bcptest from database testdb using Azure AD Integrated from Azure server aadserver.database.windows.net and stores the data in file c:\last\data2.dat:
The following example imports data using Azure AD-Integrated auth. The example imports data from file c:\last\data2.txt into table bcptest for database testdb on Azure server aadserver.database.windows.net using Azure AD Integrated auth:
The examples below make use of the WideWorldImporters sample database for SQL Server (starting 2016) and Azure SQL Database. WideWorldImporters can be downloaded from -server-samples/releases/tag/wide-world-importers-v1.0. See RESTORE (Transact-SQL) for the syntax to restore the sample database. Except where specified otherwise, the examples assume that you are using Windows Authentication and have a trusted connection to the server instance on which you are running the bcp command. A directory named D:\BCP will be used in many of the examples.
If you want to export the whole SQL Server database to the XML file, you can first use the SQL Server Management Studio to export your SQL database to CSV, and then convert CSV to XML using an online converter. You ca also choose to output SQL Server database to Excel and then convert Excel (XLS) to XML.
Step 2. Go to "Object Explorer", find the server database you want to export in CSV. Right-click on it and choose "Tasks" > "Export Data" to export table data in CSV. Then, the SQL Server Import and Export Wizard welcome window pop up.
Depending on your needs, you can choose to use the FOR XML clause to return a query result to XML or export a whole SQL database to XML file. When you use the FOR XML clause in a query, you need to make sure which mode you need to specify. While if you export the SQL database to XML, you need to save the database as a supportable format and then convert the current format to XML. Hope this article is helpful to you.
This example retrieves the name of the product for those products that have a 3 in the first digit of their list price, and converts the ListPrice of these products to int. It uses the AdventureWorksDW2019 database.
This example calculates a single column value by dividing the product unit price (UnitPrice) by the discount percentage (UnitPriceDiscountPct). This result is then rounded to the nearest whole number, and finally converted to an int data type. This example uses the AdventureWorksDW2019 database.
This example converts the money column ListPrice to an int type, and then to a char(20) type, so that the LIKE clause can use it. This example uses the AdventureWorksDW2019 database.
You need to copy and follow that link to get to page 2. Continue until you get a NULL/blank next page. If you want to get fancy with this, there's guides out there on how to write Python scripts to run your search, decided what columns to collect, collect all the pages, and format it into a CSV, as well. This can be really helpful if you have thousands of results and don't want to download and convert your results page by page, and want to limit the columns in the CSV to the things you actually want/need.
Columns of category dtype will be converted to the dense representationas you would get with np.asarray(categorical) (e.g. for string categoriesthis gives an array of strings).Because of this, reading the database table back in does not generatea categorical.
By default, WordPress offers a native tool to export all WordPress data (see Tools Export Screen). However, to export a WordPress site entirely and manually, you can export the WordPress database and then download the WordPress files from your server via SFTP or FTP.
The purpose of this document is to provide instructions on converting the Ham Radio Deluxe logbook from the MS Access Database to the Maria Database, which is a variant of the MySQL database.This is primarily for those who have a large number of contacts logged in their logbook and are having problems with slow logbook function speeds. The SQL database is more reliable, can be easily networked so that one logbook can be accessed by multiple computers at the same time and the database is much, much faster than the MS Access DB.
For a detailed example, download this file:FileSample_CSV.zip.This file is zipped only in order to ensure correct encoding (if not zipped, browsers ordownload managers could automatically convert the file to a different encoding). When importinga CSV file, it must not be zipped!
You can download a detailed XML sample file here:FileSample_XML.zip.This file is zipped only in order to ensure correct encoding (if not zipped, browsers ordownload managers could automatically convert the file to a different encoding). When importinga XML file, it of course must not be zipped!
You can use degrib to convert a given message to a .csv file, which is a comma delimited ASCII file that contains a x, y, lat, lon, value line for each cell in the grid. This file can be imported into Excel (limited to the first 65,536 lines), or read by other files to populate a SQL database.
Data on the download server is organised by region. The root directory contains files that havea whole continent's data in them, and for all continents except Antartica there are subdirectories in which you find individual files for variouscountries. Some countries again have their own subdirectories with data for administrative subdivisions. For Germany, all "Bundesländer" are available as separate files, and forEngland we have all individual counties. For France, we have all (historic) Departements. The file for Germany's Baden-Württemberg regionis, for example, at
Files with the .osm.pbf suffix are OpenStreetMap raw data files in the PBF format. They are the common format for OpenStreetMap raw data and need few memory for storage. Daily diff updates (.osc.gz, Gzip compressed OSM XML) are available on our download server as well. They contain the changes of one day. The PBF files can be updated with them.Files ending in ".osm.bz2" are bzip2 comressed OpenStreetMap raw data files.The XML based data format is described in the OSM Protocol Version 0.6article on the OpenStreetMap wiki. The XML DTD is available in the OSM Protocol Version 0.6/DTDarticle. Our download server offers raw data as Bzip2 compressed OSM XML (file name suffix .osm.bz2) as well. They need more storage space, their processing is not as efficient due to the usage of the XML format. They are offered for backward compatibility with older software. We recommend to switch to the PBF format.
Files ending in .shp.zip are shape files that you can process with almost anyGIS software. In converting OSM data to shape files, we have made a defaultselection of layers containing most important layers (road and railway network, forests, water areas, many points of interest). We offer more comprehensive shape files and shape filesof other regions than provided on the download server are available as a paid service.
OpenStreetMap raw data usually comes with metadata. Some metadata fields are obviously related to persons (user name, user ID, changeset ID). The raw data files (.osm.pbf, .osc.gz, .osm.bz2) on our public download server (download.geofabrik.de) do not contain these fields. Our free shape files do not contain any metadata at all.
Because the metadata fields are needed by OpenStreetMap contributors for analysis (e.g. fighting vandalism) only, we offer raw data files with all metadatafields and regional excerpts with full history on a separate download server protected by password at osm-internal.download.geofabrik.de. This free service can be used by OpenStreetMap contributors only.
All OpenStreetMap derived data on the download server is licensed under theOpen Database License 1.0.You may use the data for any purpose, but you have to acknowledge OpenStreetMap as the data source.Derived databases have to retain the same license. 2ff7e9595c
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