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pranaas Group

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Boris Ilyin
Boris Ilyin

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Writing data from pandas DataFrames to a SQL database is very slow using the built-in to_sqlmethod, even with the newly introducedexecute_manyoption. For Microsoft SQL Server, a far far faster method is to use the BCP utility provided byMicrosoft. This utility is a command line tool that transfers data to/from the database and flattext files.

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This package is a wrapper for seamlessly using the bcp utility from Python using a pandasDataFrame. Despite the IO hits, the fastest option by far is saving the data to a CSV file in thefile system and using the bcp utility to transfer the CSV file to SQL Server. Best of all, youdon't need to know anything about using BCP at all!

The only scope of bcpandas is to read and write between a pandas DataFrame and a MicrosoftSQL Server database. That's it. We do not concern ourselves with reading existing flat filesto/from SQL - that introduces way to much complexity in trying to parse and decode the variousparts of the file, like delimiters, quote characters, and line endings. Instead, to read/write anexiting flat file, just import it via pandas into a DataFrame, and then use bcpandas.

The big benefit of this is that we get to precicely control all the finicky parts of the text filewhen we write/read it to a local file and then in the BCP utility. This lets us set library-widedefaults (maybe configurable in the future) and work with those.

In 1973, IBM released APL.SV, which was a continuation of the same product, but which offered shared variables as a means to access facilities outside of the APL system, such as operating system files. In the mid-1970s, the IBM mainframe interpreter was even adapted for use on the IBM 5100 desktop computer, which had a small CRT and an APL keyboard, when most other small computers of the time only offered BASIC. In the 1980s, the VSAPL program product enjoyed wide use with Conversational Monitor System (CMS), Time Sharing Option (TSO), VSPC, MUSIC/SP, and CICS users.

Sharp APL was available from IP Sharp Associates, first as a timesharing service in the 1960s, and later as a program product starting around 1979. Sharp APL was an advanced APL implementation with many language extensions, such as packages (the ability to put one or more objects into a single variable), file system, nested arrays, and shared variables.

APL*Plus and Sharp APL are versions of APL\360 with added business-oriented extensions such as data formatting and facilities to store APL arrays in external files. They were jointly developed by two companies, employing various members of the original IBM APL\360 development team.[103]

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