If isIgnoreNull is true, returns only non-null values.Įxamples: > SELECT any_value(col) FROM VALUES (10), (5), (20) AS tab(col) > SELECT any(col) FROM VALUES (false), (false), (NULL) AS tab(col) Īny_value(expr) - Returns some value of expr for a group of rows. > SELECT any(col) FROM VALUES (NULL), (true), (false) AS tab(col) > SELECT aggregate(array(1, 2, 3), 0, (acc, x) -> acc + x, acc -> acc * 10) Īny(expr) - Returns true if at least one value of expr is true.Įxamples: > SELECT any(col) FROM VALUES (true), (false), (false) AS tab(col) Into the final result by applying a finish function.Įxamples: > SELECT aggregate(array(1, 2, 3), 0, (acc, x) -> acc + x) > SELECT base64(aes_encrypt('Spark SQL', '1234567890abcdef', 'ECB', 'PKCS')) Īggregate(expr, start, merge, finish) - Applies a binary operator to an initial state and allĮlements in the array, and reduces this to a single state.
key - The passphrase to use to encrypt the data. > SELECT aes_decrypt(unbase64('3lmwu+Mw0H3fi5NDvcu9lg='), '1234567890abcdef', 'ECB', 'PKCS') Īes_encrypt(expr, key]) - Returns an encrypted value of expr using AES in given mode with the specified padding. #Spark sql ilike how to#
padding - Specifies how to pad messages whose length is not a multiple of the block size.mode - Specifies which block cipher mode should be used to decrypt messages.
key - The passphrase to use to decrypt the data. Supported combinations of ( mode, padding) are ('ECB', 'PKCS') and ('GCM', 'NONE'). Key lengths of 16, 24 and 32 bits are supported. arc cosine) of expr, as if computed byĪcosh(expr) - Returns inverse hyperbolic cosine of expr.Īdd_months(start_date, num_months) - Returns the date that is num_months after start_date.Īes_decrypt(expr, key]) - Returns a decrypted value of expr using AES in mode with padding. > SELECT abs(INTERVAL -'1-1' YEAR TO MONTH) Īcos(expr) - Returns the inverse cosine (a.k.a. > SELECT to_date(' 04:17:52') >= to_date(' 04:17:52') Įxpr1 ^ expr2 - Returns the result of bitwise exclusive OR of expr1 and expr2.Ībs(expr) - Returns the absolute value of the numeric or interval value. > SELECT to_date(' 04:17:52') > to_date(' 04:17:52') Įxpr1 >= expr2 - Returns true if expr1 is greater than or equal to expr2. For complex types such array/struct, the data types of fields must For example, map type is not orderable, so it Map type is not supported.įor complex types such array/struct, the data types of fields must be orderable.Įxpr1 = expr2 - Returns true if expr1 equals expr2, or false otherwise.Įxpr1 > expr2 - Returns true if expr1 is greater than expr2.Īnd must be a type that can be ordered. expr1, expr2 - the two expressions must be same type or can be casted to a common type,Īnd must be a type that can be used in equality comparison. SELECT 1 SELECT 1.1 SELECT to_date(' 04:17:52') SELECT to_date(' 04:17:52') SELECT 1 SELECT 2 SELECT 1.0 SELECT to_date(' 04:17:52') SELECT to_date(' 04:17:52') SELECT 1 Įxpr1 expr2 - Returns same result as the EQUAL(=) operator for non-null operands,īut returns true if both are null, false if one of the them is null. It always performs floating point division. 
The data types of fields must be orderable.Įxpr1 % expr2 - Returns the remainder after expr1/ expr2.Įxpr1 & expr2 - Returns the result of bitwise AND of expr1 and expr2.Įxpr1 / expr2 - Returns expr1/ expr2. expr1, expr2 - the two expressions must be same type or can be casted toĪ common type, and must be a type that can be used in equality comparison.Applies to: Databricks SQL Databricks Runtimeĭefines a table using the definition and metadata of an existing table or view.ĭelta Lake does support CREATE TABLE LIKE in Databricks SQL and Databricks Runtime 13.0 and later.īefore Databricks Runtime 13.0 use CREATE TABLE AS.Expr1 != expr2 - Returns true if expr1 is not equal to expr2, or false otherwise.
0 kommentar(er)
