SQL Developer importing csv row limit - oracle

I've got around 500 csv files, I've merged them into one big csv file - ~10gb and 10mln rows. I've got a local database, I'm importing data through sql developer, after successful import rows available are only ~3.8mln.
Has anyone got an idea why I've got this loss of data? I've checked all csv, everything is ok with them.

Related

Importing 3 million records from csv to oracle DB table

I am trying to import 3 million rows from a csv file to DB table using sql developer import wizard, but getting below error every time when it reaches 12k rows .
When I tried importing only 100 rows from the same file, it inserted successfully. Please help me with the error.
error screenshot:
File screenshot:

How to Import many files to an Oracle table

I want to make a scheduled flow to reading a directory includes CSV files and import them to a Oracle table (I don't know the file names), I've tried ODI (using variables) but ODI needs to know the file_name and if I create a table for the file_names for using with ODI variables, as the daily total files is over 200,000, it may caused problems whether files comes with delay or missed one.
It's appreciated if you could lead me into this matter.

Importing table records from a .csv file

I am using Oracle SQL Developer, and I have to insert 10 records having 114 columns, but it generates an error.
I directly importing the .CSV file. It generated an error Duplicate column error. I am a beginner, so please help me find the solution.
Here are some screen shots:

no rows selected error after importin data into sql developer from excel ..csv file

After successfully importing data from excel into sql developer when I type:
select * from table_name
it says no rows selected whereas excel file has huge data (around 1000 records). Please help

Import most recent data from CSV to SQL Server with SSIS

Here's the deal; the issue isn't with getting the CSV into SQL Server, it's getting it to work how I want it... which I guess is always the issue :)
I have a CSV file with columns like: DATE, TIME, BARCODE, etc... I use a derived column transformation to concatenate the DATE and TIME into a DATETIME for my import into SQL Server, and I import all data into the database. The issue is that we only get a new .CSV file every 12 hours, and for example sake we will say the .CSV is updated four times in a minute.
With the logic that we will run the job every 15 minutes, we will get a ton of overlapping data. I imagine I will use a variable, say LastCollectedTime which can be pulled from my SQL database using the MAX(READTIME). My problem comes in that I only want to collect rows with a readtime more recent than that variable.
Destination table structure:
ID, ReadTime, SubID, ...datacolumns..., LastModifiedTime where LastModifiedTime has a default value of GETDATE() on the last insert.
Any ideas? Remember, our readtime is a Derived Column, not sure if it matters or not.
Here is one approach that you can make use of:
Let's assume that your destination table in SQL Server is named BarcodeData.
Create a staging table (say BarcodeStaging) in your database that has the same column structure as your destination table BarcodeData into which CSV data is imported into.
In the SSIS package, add an Execute SQL Task before the Data Flow Task to truncate the staging table BarcodeStaging.
Import the CSV data into the staging table BarcodeStaging and not into the actual destination table.
Use the MERGE statement (I assume that you are using SQL Server 2008 or higher version), to compare the staging table BarCodeStaging and the actual destination table BarcodeData using the DateTime column as the join key. If there are unmatched rows, then copy the rows from the staging table and insert them into the destination table.
Technet link to MERGE statement: http://technet.microsoft.com/en-us/library/bb510625.aspx
Hope that helps.

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