I have a concern working with Oracle, TypeOrm, and NodeJs.
How can I input 1 million records found within a csv file?
The point is that I have to load the content of an xlsx file to a table in oracle, this file has around 1 million data or more.
The way I was doing this task was, converting from xlsx to json and from json, and that array save to database, but it was taking too long.
So now I transform to CSV, but how can I insert all the records from the CSV file into the oracle table?
I am using TypeOrm for the connection between Oracle and NodeJs
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I've been trying to add data from a csv file into snowflake database. I use the load data GUI option to upload the data. The problem is that since it is a CSV file ',' is the delimiter and the data inside one of the columns has , in it so it is considering it as a delimiter and splitting the columns. Can you suggest a way to upload the data without the above case happening?
Thanks.
I recently used PowerQuery to clean a dataset with over 2 million rows of data. How can I now save this cleaned dataset as a usable CSV file, not a query? I cannot load the query into excel and then save it as it contains over 2 million rows of data.
Can I save the data connection as a Microsoft ODC file, open it in Access and then save it as a CSV file? Or are there any other alternatives?
NOTE: Essentially my ultimate goal is to upload the dataset into Tableau (to visualize the data). So any solution that enables this would be preferred and appreciated.
Use DAX Studio to export the table into CSV from the data model or PBI.
https://daxstudio.org/
I have tried to transfer a table from PostgreSQL to csv with pandas and it was success. But when I tried to transfer multiple tables from a database to csv I am getting errors. please explain how to transfer multiple tables from PostgreSQL to csv files at a time.
My application requires rapid fetching of excel data from file as big as 100,000 lines.
The serverside is currently nodeJS and the excel parsing tools are too slow and memory issues occur when I attempt to load such a big excel file into the program.
If I can somehow store the excel spreadsheet cells into a database, I can make queries to only retrieve n number of rows.
The problem is that the files that will be uploaded to the server do not have a set schema so I can't generalize a schema and push to the tables.
Any suggestions on storing xlsx files in database for rapid retrieval of data would be very much appreciated.
I am new to SOLR, My problem is to link multiple CSV files linked together via single field in SOLR.
I have indexed a file of more than 5GB from CSV containing more that 250 fieds (one field taxonomyid) in document and querying it successfully, now i have to add one more CSV file having fields (taxonomyid, taxonomyvalue, description) and link with the already indexed CSV file with the field taxonomoyid.Kindly help me with the direction for what should i go for in SOLR R&D.