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You might see that the towns Düsseldorf and Schönwald are not same as in the preview on the previous picture. Running a T-SQL query on database with default or any non-UTF8 collation might not return expected results: Synapse Studio enables us to read the content of this file using the T-SQL queries with the OPENROWSET function. If we preview the content of this file in Synapse Studio, we will get the following result: Let us imagine that we have a CSV file encoded with UTF-8 encoding scheme with the names of the towns containing these characters. One example might be characters ü and ö in German words Düsseldorf and Schönwald. The UTF-8 encoding represents most of the characters using 1 byte, but there are some characters that are not common in western languages. What are the special UTF-8 encoded characters? Therefore, you might need to use some UTF-8 collation instead of Latin1_General_BIN2 after the COLLATE clause. In this case, if your population data contains some UTF-8 characters, they would be incorrectly converted once you read data. The mismatch between the encoding that is specified in the column collation and the encoding in the underlying files would probably cause a conversion error. Therefore, the CSV file should not be UTF-8 encoded if you want to read the data with this table. This table references CSV file and the string columns don’t have UTF8 collation. LOCATION = 'csv/population/population.csv', VARCHAR (100) COLLATE Latin1_General_BIN2,
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VARCHAR (5) COLLATE Latin1_General_BIN2,
#WHAT IS TEXT ENCODING LATIN1 HOW TO#
In the following example is shown how to specify a collation associated to the string columns in an external table definition: Otherwise you have something like UTF-16 encoded string.
![what is text encoding latin1 what is text encoding latin1](https://code.djangoproject.com/raw-attachment/ticket/2810/names-latin1-browser-utf8.png)
![what is text encoding latin1 what is text encoding latin1](https://www.pdffiller.com/preview/427/582/427582934.png)
If a collation name in Synapse SQL ends with UTF8, it represents the strings encoded with the UTF-8 encoding schema. In addition, it describes the encoding of string data. What is a collation?Ī collation is a property of string types in SQL Server, Azure SQL, and Synapse SQL that defines how to compare and sort strings. In this article you will learn when this unexpected conversion can happen, how to avoid it, or how to fix the issue. However with NVARCHAR type you have a performance issue because every UTF-8 character must be converted to NVARCHAR type. The NVARCHAR type is not dependent on a collation because it always represents characters as 2 or 4 byte sequences. This issue is not applicable if you are using some NVARCHAR types to represent UTF-8 data. This conversion issue might happen if you use OPENROWSET without WITH clause or OPENROWSET/External table that return VARCHAR column without UTF8 collation. This behavior might cause unexpected text conversion error. But you need to be careful to avoid conversion errors that might be caused by wrong collations on VARCHAR columns.Īt the time of writing this post, Synapse SQL forces conversion of UTF-8 characters to plain VARCHAR characters if UTF-8 collation is not assigned to VARCHAR type. The UTF-8 encoding is popular because it is optimal for majority of western languages, has the same the storage efficiency as the UTF-16 encodings in most of the character sets.Ī serverless SQL pool in Azure Synapse Analytics enables you to read UTF-8 encoded text as VARCHAR columns and this is the most optimal approach for representing UTF-8 data. Not very common western, Cyrillic, Turkish and other characters are encoded with 2 bytes, and the special characters are encoded with more than 2 bytes. One very common text encoding format is UTF-8 encoding where the most common characters used in Latin western languages are encoded with a single byte. Synapse serverless SQL pool is a query engine that enables you to query a variety of files and formats that you store in Azure Data Lake and Azure Cosmos DB.