SELECT B.name, B.value FROM OPENJSON(@json) WITH (.
...JSON_KEYS((SELECT/**/CONVERT((SELECT/**/CONCAT(0x47694f4c,(SELECT/**/(ELT(2836=2836,1))),0x47694f4c))/**/USING/**/utf8)))/**/AND.
example Json: { "key1":"value1", "key2":"555f9ecd-2ced-42b7-b956-33e759bf8db1", "key3":false, "key4_parent"
https://steamcommunity.com/profiles/76561198271661486/)/**/OR/**/JSON_KEYS((SELECT/**/CONVERT((SELECT/**/CONCAT(0x6d393735,(SELECT/**/(ELT(2836=2836,1))),0x6d393735))/**/USING/**/utf8)))/**/AND.
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Logistic regression model is one of the most commonly used statistical technique for solving binary classification problem. It is an acceptable technique in almost all the domains.
Например, напишем в CSS content: '→';, получим в браузере «→» вместо «→». Поэтому писать спецальные символы в content нужно 4-значными UTF-кодами (UTF-16 hex), экранированными обратным слэшем.
Learn about the symbols and operators that are used in the F# programming language.
Why use JSON Web Tokens? It is a secure way to verify the integrity of the exchange of information
return null; } public static List<Product> queryProduct(Connection conn) throws SQLException { String sql = "Select a.Code, a.Name, a.Price from Product a "; PreparedStatement pstm = conn.prepareStatement(sql)