I’m in the digital forensic field, so the focus will be to expand upon one of Josh Brunty’s scripts they shared here.
SQLITE BROWSER IMPORT FROM CSV HOW TO
But I hope this post extracts some of the core fundamentals, and provides an example on how to effectively use it. The documentation on the Python csv module can be read here. The nuances from the previous post (almost) all go away!
Python already comes with a CSV parsing library, which makes our life so much easier. There will be some references made to the previous post, so be sure to take a glance there first. import into a temporary table to be created, then copy it (using a SELECT clause as the source) to a table which has all the types and constraints you need.This is a follow-up post from CSV (siː ɛs viː) to show examples on how to write data with python into a CSV formatted file. That may lead to an easier solution for you. import into a new table, (one not yet defined), the first line is treated as column headers, and the table is created with the names given. But if you intended it to be treated as column headers, that is not happening either. This is kind of a happy accident, since you likely did not want it treated as data. That fails to be imported due to the constraint you have on the first column.
import had no other problems, the first line of the file is treated as mere data.
Your large text file's first line has the same text values you use as column names in the CREATE TABLE statement you showed. import into an existing table, the SQLite shell treats the first line of the file like all the others it is not specially interpreted as naming the columns. Once you have that working, your humongous.
SQLITE BROWSER IMPORT FROM CSV ZIP
Do that in an interactive sqlite3 shell session so that you have a chance to catch errors rather than having them zip by in a flash or get swallowed. I would recommend that you get these problems sorted out while testing with a few hundred lines of that file, perhaps including line 13718893. I think these are not accepted because they are invalid CSV. import, produce an error to stderr such as: "adron_reducido_ruc.txt:13718893: unescaped " character". The import is very slow and noisy because of all the yapping about ignoring an extra field per record.Īnother issue, perhaps explaining your disappointment, is that a great many lines, during the.
But the match is poor because 15 separators are needed for 16 fields. It is indeed using '|' as field separators, so it is very strange to be treating it as CSV.Īnother issue is that the lines have 15 separators, which almost matches the 15 columns you define for table SUNAT. With a few minutes to spare, I downloaded your large text file. Prior to import I perform an ANSI->UTF8 conversion from the text file.Ĭ:sqlite3.exe -csv -init config.cfg CONSULT.db ""ĬREATE TABLE IF NOT EXISTS SUNAT("RUC" INTEGER PRIMARY KEY, "NOMBRE O RAZÓN SOCIAL" TEXT, "ESTADO DEL CONTRIBUYENTE" TEXT, "CONDICIÓN DE DOMICILIO" TEXT, "UBIGEO" TEXT, "TIPO DE VÍA" TEXT, "NOMBRE DE VÍA" TEXT, "CÓDIGO DE ZONA" TEXT, "TIPO DE ZONA" TEXT, "NÚMERO" TEXT, "INTERIOR" TEXT, "LOTE" TEXT, "DEPARTAMENTO" TEXT, "MANZANA" TEXT, "KILÓMETRO" TEXT) Dear, I have a "small" problem doing the import of a txt file with csv mode, the file is just over 13 million records, but the import does not bring all of them to the db, from record 11million approx onwards one that another record is left out, thus until completing almost 300,000 records, the text file is in this format: