[email protected] <[email protected]> wrote:
> Is there some way to load a ".csv" file into a SQLite database table when
> the first row (record) of the file contains headers?
>
> This does not work?
> ----------------------------------------------
> .separator ,
> .import test.csv ld_assay
>
> Here's my database / table:
> CREATE TABLE [ld_assay] (
> [id] INTEGER PRIMARY KEY,
> [barcode_id] NCHAR(9),
> [light] BOOLEAN,
> [bpm] REAL);
>
> Here's my "test.csv":
> id,barcode_id,light,bpm
> 1,000002455,1,180.2
> 2,000002455,1,168.3
> 3,000002455,1,189.4
> ----------------------------------------------
>
> This works (example from different program):
> ----------------------------------------------
> When R loads a ".csv" file it uses the [header = TRUE] flag to skip the
> first row of the file:
> data.frame_ld_assay <- read.table("test.csv", header = TRUE, sep = ",",
> colClasses = c("integer", "character", "integer", "numeric"))
>
> Most likely utilizing the "skip, integer: the number of lines of the data
> file to skip before beginning to read data." option.
> ----------------------------------------------
Spatialite extension of SQLite has VirtualText() which
creates a virtual table from a CSV files. It uses the
first lines to name the columns in the virtual table.
Example:
$ cat test.csv
id,barcode_id,light,bpm
1,000002455,1,180.2
2,000002455,1,168.3
3,000002455,1,189.4
spatialite> CREATE VIRTUAL TABLE virt_test
...> USING VirtualText(test.csv, UTF8, 1, COMMA, DOUBLEQUOTE, ',');
spatialite> SELECT * FROM virt_test;
0|1|2455|1|180.2
1|2|2455|1|168.3
2|3|2455|1|189.4
spatialite> CREATE TABLE test AS SELECT * FROM virt_test;
spatialite> SELECT * FROM test;
0|1|2455|1|180.2
1|2|2455|1|168.3
2|3|2455|1|189.4
spatialite> .schema test
CREATE TABLE TEST(
ROWNO INT,
id INT,
barcode_id INT,
light INT,
bpm TEXT
);
-- Dominique
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