And, for "hundreds" of files you will probably want to prepare a script rather than typing in each file individually. This command accepts a file name, and a table name. Note that you need to make sure that the files DO NOT have an initial line defining the field names. You can import data from a CSV file into an SQLite database. You can import data from a CSV file into an SQLite database. To avoid this, make sure that table does not previously exist. If the CSV file contains an initial row of column labels, that row will be read as data and inserted into the table. In other words, if the table does not previously exist, the first row of the CSV file is interpreted to be column names and the actual data starts on the second row of the CSV file.įor the second case, when the table already exists, every row of the CSV file, including the first row, is assumed to be actual content. CSV format and ensure the Has Column Headings. In the first case, when the table does not previously exist, the table is automatically created and the content of the first row of the input CSV file is used to determine the name of all the columns in the table. Under File Format, you can choose the Comma- or Tab-separated values file format well keep the default. There are two cases to consider: (1) Table "tab1" does not previously exist and (2) table "tab1" does already exist. ![]() This is necessary to prevent the command-line shell from trying to interpret the input file text as some other format. Note that it is important to set the "mode" to "csv" before running the ".import" command. The ".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. Use the ".import" command to import CSV (comma separated value) data into an SQLite table. Alternatively you can create beforehand and then load, but in that case exclude the header from Step 1. This assumes that my_new_table hasn't been created. To load into SQLite (Step 2) the answer given by Hot Licks worked for me: sqlite>. Make sure to put all_combined.csv in a separate folder, or in some distributions, it will be included recursively! The -q option makes sure that tail never writes the file name as a header. The first command writes only the first line of the csv file (you can choose whichever one file), the second command writes the whole document starting from line 2 and therefore excluding the header. ![]() Step 2: Load the single merged csv into SQLite.įor step 1 I used: $ head -1 one.csv > all_combined.csv Exclude the header for most of them but write down the header from one of them in the beginning. Step 1: merge the multiple csv's into a single file. I ran into a similar problem and the comments to your question actually gave me the answer that finally worked for me
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