bulkinsert

I am trying to bulk insert few records in a table test from a CSV file , CREATE TABLE Level2_import (wkt varchar(max), area VARCHAR(40), ) BULK INSERT level2_import FROM 'D:\test.csv' WITH ( FIRSTROW = 2, FIELDTERMINATOR = ',', ROWTERMINATOR = '\n' ) The bulk insert code should rid of the first row and insert the data into the table . it gets rid of first row alright but gets confused in the delimiter section . The first column is wkt and the column value is double quoted and has comma within the value . So I guess I question is if there is a way to tell the BULK INSERT that the double quoted

I am using MongoDB in my application and was needed to insert multiple documents inside a MongoDB collection . The version I am using is of 1.6 I saw an example here http://docs.mongodb.org/manual/core/create/ in the Bulk Insert Multiple Documents Section Where the author was passing an array to do this . When I tried the same , but why it isn't allowing , and please tell me how can I insert multiple documents at once ?? package com; import java.util.Date; import com.mongodb.BasicDBObject; import com.mongodb.DB; import com.mongodb.DBCollection; import com.mongodb.MongoClient; public class App

I am trying to add bulk data in database from CSV file. Employee table has a column ID (PK) auto-incremented. CREATE TABLE [dbo].[Employee]( [id] [int] IDENTITY(1,1) NOT NULL, [Name] [varchar](50) NULL, [Address] [varchar](50) NULL ) ON [PRIMARY] I am using this query: BULK INSERT Employee FROM 'path\tempFile.csv ' WITH (FIRSTROW = 2,KEEPIDENTITY,FIELDTERMINATOR = ',' , ROWTERMINATOR = '\n'); .CSV File - Name,Address name1,addr test 1 name2,addr test 2 but it results in this error message: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 2

I am trying to fill a resultSet in Java with about 50,000 rows of 10 columns and then inserting them into another table using the batchExecute method of PreparedStatement . To make the process faster I did some research and found that while reading data into resultSet the fetchSize plays an important role. Having a very low fetchSize can result into too many trips to the server and a very high fetchSize can block the network resources, so I experimented a little bit and set up an optimum size that suits my infrastructure. I am reading this resultSet and creating insert statements to insert

I found that my Model.create! statements were taking a very long time to run when I added a large number of records at once. Looked at ActiveRecord-Import but it didn't work with an array of hashes (which is what I have and which I think is pretty common). How can I improve the performance? Use the activerecord-import gem. Let us say you are reading a CSV file and generating a Product catalogue and you want to insert records in batches of 1000: batch,batch_size = [], 1_000 CSV.foreach("/data/new_products.csv", :headers => true) do |row| batch << Product.new(row) if batch.size >= batch_size