I am trying to export a .xlsx file in to oracle via the import wizard. However, when I select the .xlsx file nothing happens, usually when I import .csv I then specify format etc, but I am just brought back to the home screen. The file is quite small so I don't see why this wouln't work. Does anyone have any advice?
The fastest way is to convert your excel data into csv and import it as usual. Depending on the size of file, version of sql developer, operating system there seems to be some problems with memory (especialy on 64-bit systems with 64-bit jdk) though the file looks small.
Some report says they are succeded to import xls file after increasing the SQL Developer virtual memory limit by adding a line like AddVMOption -Xmx1280M or larger into SQLDeveloper.conf file.
Converting xls to csv is easy, fast an less stressful than messing with config file.
Related
I was asked to analyze a dataset in BigQuery (never used it until now) and I need to export my code as .sql documents. Is there a way to do this?
Big Query lets you save the queries on the cloud so you can use them later, as you may have noticed.
But if you really want to store them as files in your computer, you can always copy the code, paste them in a notepad and them save it as .sql, which can then be imported in platforms like PostgreSQL, etc.
Big Query doesn't allow you to load .sql files, though.
I am working on a Deep Learning project, the data was provided to me in a file with the ".data" extension. Able to read the data from the file using the Pandas "read_csv" function. I tried to search about the file properties on the web, but i am not clear about the file properties, usage, etc. Here are the few questions i have,
What is the ".data" file?
How they are created? (Mean exported from any application or database)
Is this the correct way to read the ".data" file using the pd.read_csv method? (Tried read_table as well)
Is there any other way to read the ".data" file?
Recently i found a solution for .data files using pandas.
import pandas as pd
data = pd.read_fwf("example.data")
For more details check here.
I just ran into a .data file in the wild myself. I've been able to view it in any text editor (notepad, visual studio code, jupyter lab, etc). This helped determine what the separator should be. Mine was not tab-delimited as mrinali mentioned, but that's not to say that there aren't any tab-delimited .data files. Mine was space-delimited, so I just specified this as "sep" in panda's .read_csv() method:
pd.read_csv('<your_path>', sep=' ')
A DATA file is a data file used by Analysis Studio, a statistical analysis and data mining program. It contains mined data in a plain text, tab-delimited format, including an Analysis Studio file header. DATA files are commonly used to store data for offline data analysis when not connected to an Analysis Studio server, but may also be used in online mode.
Due to their tab-delimited format, DATA files may be imported using pandas via read_csv function once their header information is stripped.
HOW TO OPEN A .DATA FILE?
Launch a .data file, or any other file on your PC, by double-clicking it. If your file associations are set up correctly, the application that's meant to open your .data file will open it. It's possible you may need to download or purchase the correct application. It's also possible that you have the correct application on your PC, but .data files aren't yet associated with it. In this case, when you try to open a .data file, you can tell Windows which application is the correct one for that file. From then on, opening a .data file will open the correct application.
Okay guys, I've been having this problem for a few weeks now and I'm getting no-where with it. I have OpenOffice and regular Office softwares. Both produce flawed .csv files, or at least phpMyAdmin can't read neither of these. Yes, I've been trying to change server's settings of uploading, etc. I also tried to contact my web hosting service and they claimed that all the .csv files I've produced are flawed.
Anyway, I'm looking for a way to convert .xls table to SQL. Most of the softwares out there cost money that I don't have. Furthermore, I've seen PHP systems that do just that, so I know this is possible.
No need converted to. sql, you can import directly with phpmyadmin or using tools like navicat for mysql in phpmyadmin go to the option to import, find the file, select the file type (csv or csv loaddata), in part below defines the column separator (if you do not know which opens the file with notepad)
if a very large file using navicat.
Flawed is "defective"?. I assume you have problem with excel, maybe you have defined the same column separator for separating thousands or decimals, use openoffice to open the file
Hy,
What are the standards/properties needed to be chosen and checked while converting a.xls or .csv file to a .sqlite file.
What should i pay attention to and be careful of what?
I got it, the simplest way is to import it from a .xls file, using NAVICAT FOR SQLITE. Using any other software may cause some problems..
I'd like to offer the possibility for users of my app to export to Excel. I don't ever need to read Excel files.
The three ways I know right now is to
make a CSV file, which isn't too great as I'd like to have some custom formatting in the spreadsheet
make an XML file that I don't think people'd recognize as an Excel file
make a template xlsx file, unzip it in the app, do a lot of search-replacing in the files and then zip it back up again
Are there other alternatives? I'm not sure how supported .xlsx files are, and that seems like very much work. Are there any frameworks out there I can lean on, that perhaps even make old-school .xls files?
Cheers
Nik
Some options for you to consider:
1) You may be able to use ooxml http://en.wikipedia.org/wiki/Office_Open_XML_file_formats. You may need the "office compatibility pack" on computers with excel 2003 or lower http://go.microsoft.com/?linkid=5754865.
2) Excel 2000 uses the BIFF file format: http://www.google.com/url?sa=t&source=web&cd=1&ved=0CBcQFjAA&url=http%3A%2F%2Fsc.openoffice.org%2Fexcelfileformat.pdf&ei=iDx0TKOhBIqmnQfckKy7CQ&usg=AFQjCNE2w4xyFSoKmvKdsa7O9TMqynYpbA (pdf). You may be able to create simple documents from the spec or based on other info on the web.