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. That may lead to an easier solution for you.
Note that it is important to set the 'mode' to 'csv' before. import ' command takes two arguments which are the name of the disk file from which CSV data is to be read and the name of the SQLite table into which the CSV data is to be inserted. 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. import ' command to import CSV (comma separated value) data into an SQLite table. 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 first row in a CSV file often contains headers for. If the first row of your SSV file does not contain unique column names then you must define the table to import the data into first then do the same commands. If the first row contains unique column names then you can import the file with. A CSV file, or Comma Separated Values file, is a delimited file that uses commas to separate values. For the second set of commands you forgot to set.
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. In order to import data into an SQLite database, it must be in a suitable format. But the match is poor because 15 separators are needed for 16 fields. The file name is the file from which the data is read, the table name is the table that the data will be imported into. This command accepts a file name, and a table name. 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. You can import data from a CSV file into an SQLite database. 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) I want it to not treat it as a data row, but use it to determine which column the data should be added to.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: import table1.csv table1 SQLite3 will just treat the column names as a data row. I have a situation where I have CSV files with column names in the first row, which perfectly match the tables in my SQLite3 db, except they are in a different order.
0 kommentar(er)
