bulkinsert

This question already has an answer here: How to cast variables in T-SQL for bulk insert? 6 answers I need to load a couple of thousands of data files into SQL Server table. So I write a stored procedure that receives just one parameter - file name. But.. The following doesn't work.. The "compiler" complains on @FileName parameter.. It wants just plain string.. like 'file.txt'. Thanks in advance. Ilan. BULK INSERT TblValues FROM @FileName WITH ( FIELDTERMINATOR =',', ROWTERMINATOR ='\n' ) The syntax for BULK INSERT statement is : BULK INSERT [ database_name. [ schema_name ] . | schema_name. ]

I am inserting tens of thousands of objects into my Core Data entity. I have a single NSManagedObjectContext and I am calling save() on the managed object context every time I add an object. It works but while it is running, the memory keeps increasing from about 27M to 400M. And it stays at 400M even after the import is finished. There are a number of SO questions about batch insert and everyone says to read Efficiently Importing Data , but it's in Objective-C and I am having trouble finding real examples in Swift that solve this problem. Suragch There are a few things you should change:

I'm bulk loading data and can re-calculate all trigger modifications much more cheaply after the fact than on a row-by-row basis. How can I temporarily disable all triggers in PostgreSQL? Alternatively, if you are wanting to disable all triggers, not just those on the USER table, you can use: SET session_replication_role = replica; This disables triggers for the current session. To re-enable for the same session: SET session_replication_role = DEFAULT; Source: http://koo.fi/blog/2013/01/08/disable-postgresql-triggers-temporarily/ PostgreSQL knows the ALTER TABLE tblname DISABLE TRIGGER USER

I have a Windows Service application that receives a stream of data with the following format IDX|20120512|075659|00000002|3|AALI |Astra Agro Lestari Tbk. |0|ORDI_PREOPEN|12 |00000001550.00|00000001291.67|00001574745000|00001574745000|00500|XDS1BXO1| |00001574745000|›§ IDX|20120512|075659|00000022|3|ALMI |Alumindo Light Metal Industry Tbk. |0|ORDI |33 |00000001300.00|00000001300.00|00000308000000|00000308000000|00500|--U3---2| |00000308000000|õÄ This data comes in millions of rows and in sequence 00000002....00198562 and I have to parse and insert them according to the sequence into a database

I am looking for a quick-and-dirty way to import CSV files into SQL Server without having to create the table beforehand and define its columns . Each imported CSV would be imported into its own table. We are not concerned about data-type inferencing. The CSV vary in structure and layout, and all of them have many many columns, yet we are only concerned with a few of them: street addresses and zipcodes. We just want to get the CSV data into the SQL database quickly and extract the relevant columns. I'd like to supply the FieldTerminator and RowTerminator, point it at the CSV, and have the

I need to import a large CSV file into an SQL server. I'm using this : BULK INSERT CSVTest FROM 'c:\csvfile.txt' WITH ( FIELDTERMINATOR = ',', ROWTERMINATOR = '\n' ) GO problem is all my fields are surrounded by quotes (" ") so a row actually looks like : "1","","2","","sometimes with comma , inside", "" Can I somehow bulk import them and tell SQL to use the quotes as field delimiters? Edit : The problem with using '","' as delimiter, as in the examples suggested is that : What most examples do, is they import the data including the first " in the first column and the last " in the last, then