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SQL 2022-03-12 07:25:04
REMOVE DATE FROM DATE TIME SQL SERVER
First thing's first, if your dates are in varchar format change that, store dates as dates it will save you a lot of headaches and it is something that is best done sooner rather than later. The problem will only get worse. Secondly, once you have a date... Add solution -
SQL 2022-03-11 18:30:06
SQLSTATE[HY000] [1040] Too many connections
On a shared hosting, "unlimited" means other users are unrestricted with their resource using. Means they can eat up whole pool, while your consumption remains modest This is a limit of database's configuration. If you have permission to edit ... Add solution -
Other 2022-03-11 05:15:05
oracle spool blob to file
CREATE OR REPLACE PROCEDURE retrieve_lob_to_file(temp_blob in BLOB, file_path in varchar2, file_name in varchar2) IS data_buffer RAW (32767); position INTEGER := 1; filehandle utl_file.file_type; error_number NUMBER; error_me... Add solution -
SQL 2022-03-08 19:05:13
mysql vs postgresql
/*Postgres is an object-relational database, while MySQL is a purely relational database. This means that Postgres includes features like table inheritance and function overloading, which can be important to certain applications. Postgres also adheres mo... Add solution -
SQL 2022-03-06 12:30:27
Expression #1 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'papertrade.kite_orders.id' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
SET GLOBAL sql_mode=(SELECT REPLACE(@@sql_mode,'ONLY_FULL_GROUP_BY','')); Add solution -
SQL 2022-03-02 15:55:14
code: "ER_TRUNCATED_WRONG_VALUE", errno: 1292, sqlMessage: "Incorrect date value: '2021-03-20T18:30:00.000Z' for column 'mgfdate' at row 1", sqlState: "22007", index: 0, …}
code: "ER_TRUNCATED_WRONG_VALUE", errno: 1292, sqlMessage: "Incorrect date value: '2021-03-20T18:30:00.000Z' for column 'mgfdate' at row 1", sqlState: "22007", index: 0, …} Add solution -
Python 2022-02-28 13:00:02
read a csv file in pandas
import panda as pd file_csv = pd.read_csv("file path") ## as csv format file_excel = pd.read_excel("file path") ## as excel format file_json = pd.read_json("file path") ## as json format file_html = pd.read_html("file... Add solution
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