WebNov 18, 2024 · 'message': 'line 271:26: Cannot apply operator: timestamp(3) with time zone >= varchar(26)', and here is the offending line of the templated query: WHERE … WebJul 29, 2016 · The recommendation is to use VARCHAR and Integer Types (TINYINT, SMALLINT, INT, BIGINT) where ever possible instead of using String. In hive String is treated as VARCHAR (32762). So, if you have data that is not more than 50 characters in length, using string here will have some overhead. Same for integer types.
Error querying data from prestodb · Issue #807 · apache/superset
WebSep 16, 2024 · All existing datetime UDFs (month, day, year, hour, etc.) work with the TIMESTAMP data type. Timestamps in text files have to use the format yyyy-mm-dd hh:mm:ss [.f...]. If they are in another format, declare them as the appropriate type (INT, FLOAT, STRING, etc.) and use a UDF to convert them to timestamps. WebJun 21, 2024 · Mine says line 1:31: '=' cannot be applied to integer, varchar(1) ('a' is currently considered a varchar(1) rather than char(1)). If there was the implicit conversion integer -> varchar, the end result wouldn't be that nice anyway. Note that operations, including comparisons, on varchars are slower than on numbers. simonk firmware brushless esc
Pass a variable into a SQL query in Excel Power Query
WebOct 4, 2024 · ` title ` varchar (255) NOT NULL, ` description ` text NOT NULL, ` status ` int (11) NOT NULL, ` min_req ` int (11) NOT NULL, ` indus ` varchar (225) NOT NULL, ` func_area ` varchar (225) NOT NULL, ` pos ` varchar (225) NOT NULL, ` salary ` int (11) NOT NULL, ` idate ` varchar (255) NOT NULL, ` itime ` varchar (255) NOT NULL, ` … WebSep 3, 2015 · How to fix error converting data type varchar to numeric. The step-by-step way to quickly convert these characters is to extract all the characters on the left side of the decimal place, seen in the below T-SQL … WebMar 17, 2024 · 1 Answer Sorted by: 8 You can use array_join: array_join (x, delimiter, null_replacement) → varchar Concatenates the elements of the given array using the delimiter and an optional string to replace nulls. SELECT array_join (ARRAY [1, 2], ', ') -- 1, 2 Or cast to json and use json_format: SELECT json_format (cast (ARRAY [1, 2] as … simon kidner facebook