watchessite.blogg.se - Sqlite import csv

SQLITE IMPORT CSV INSTALL
SQLITE IMPORT CSV SERIES
SQLITE IMPORT CSV ZIP

Or for data in a CSV file: $ sqlite-utils insert dogs.db dogs dogs.csv -csv | sqlite-utils insert releases.db releases -pk id You can import JSON data into a new database table like this: $ curl \ $ sqlite-utils dogs.db "select * from dogs" -table $ sqlite-utils dogs.db "select * from dogs" -csv $ sqlite-utils dogs.db "select id, name from dogs" $ sqlite-utils insert dogs.db dogs dogs.csv -csv Now you can do things with the CLI utility like this: $ sqlite-utils memory dogs.csv "select * from t"

SQLITE IMPORT CSV INSTALL

Or if you use Homebrew for macOS: brew install sqlite-utils

SQLITE IMPORT CSV SERIES

Read more on my blog, in this series of posts on New features in sqlite-utils and other entries tagged sqliteutils.

Extract columns into separate tables to better normalize your existing data.

Run transformations against your tables to make schema changes that SQLite ALTER TABLE does not directly support, such as changing the type of a column.

Configure SQLite full-text search against your database tables and run search queries against them, ordered by relevance.

Run in-memory SQL queries, including joins, directly against data in CSV, TSV or JSON files and view the results.

Pipe JSON (or CSV or TSV) directly into a new SQLite database file, automatically creating a table with the appropriate schema.

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.Python CLI utility and library for manipulating SQLite databases. 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 IMPORT 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: