![]() ![]() Moreover, if an index exists on the non-unicode column, it will be ignored. SQL Server tries to convert non-unicode datatypes in the table to unicode datatypes before doing the comparison. But, in cases where the data types of the columns do not support Unicode, serious performance issues arise especially during data fetches. In the case where the data types of the columns support Unicode, everything is smooth. By default, all Microsoft’s JDBC drivers send the strings in Unicode format to the SQL Server, irrespective of whether the datatype of the corresponding column defined in the SQL Server supports Unicode or not. For example, the character data types that support Unicode are nchar, nvarchar, longnvarchar where as their ASCII counter parts are char, varchar and longvarchar respectively. SQL Server differentiates its data types that support Unicode from the ones that just support ASCII. Instructions if using different jdbc drivers and more detailled infos about the problem here : ![]() The solution was to setup this property in the jdbc url :įull example if you are using MS SQL official driver : jdbc:sqlserver://yourserver instanceName=yourInstance databaseName=yourDBName sendStringParametersAsUnicode=false The problem was the same whether i was using the official MS SQL driver or the JTDS driver. ) taking up to 10 seconds to return a single row when using a jdbc connection in Java, while taking only 0.01s in sqlshell. I had similar problem, with a very simple request (SELECT. ![]()
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