Query an RSQLite database. — db

Query an RSQLite database stored on the hard disk for observations with specific codes.

Usage

db_query(
  codelist = NULL,
  db_open = NULL,
  db = NULL,
  db_filepath = NULL,
  db_cprd = c("aurum", "gold"),
  tab = c("observation", "drugissue", "clinical", "immunisation", "test", "therapy",
    "hes_primary", "death"),
  table_name = NULL,
  codelist_vector = NULL,
  n = NULL
)

Arguments

codelist: Name of codelist to query the database with.
db_open: An open SQLite database connection created using RSQLite::dbConnect, to be queried.
db: Name of SQLITE database on hard disk, to be queried.
db_filepath: Full filepath to SQLITE database on hard disk, to be queried.
db_cprd: CPRD Aurum ('aurum') or gold ('gold').
tab: CPRD filetype
table_name: Specify name of table in the SQLite database to be queried, if this is different from tab.
codelist_vector: Vector of codes to query the database with. This takes precedent over codelist if both are specified.
n: number of observations to output

Value

A data.table with observations contained in the specified codelist.

Details

Specifying db requires a specific underlying directory structure. The SQLite database must be stored in "data/sql/" relative to the working directory. If the SQLite database is accessed through db, the connection will be opened and then closed after the query is complete. The same is true if the database is accessed through db_filepath. A connection to the SQLite database can also be opened manually using RSQLite::dbConnect, and then using the object as input to parameter db_open. After wards, the connection must be closed manually using RSQLite::dbDisconnect. If db_open is specified, this will take precedence over db or db_filepath.

Specifying codelist requires a specific underlying directory structure. The codelist on the hard disk must be stored in "codelists/analysis/" relative to the working directory, must be a .csv file, and contain a column "medcodeid", "prodcodeid" or "ICD10" depending on the chosen tab. The codelist can also be read in manually, and supplied as a character vector to codelist_vector. If codelist_vector is defined, this will take precedence over codelist.

The argument table_name is only necessary if the name of the table being queried does not match the CPRD filetype specified in tab. This will occur when str_match is used in cprd_extract or add_to_database to create the .sqlite database.

Examples

## Create connection to a temporary database
aurum_extract <- connect_database(file.path(tempdir(), "temp.sqlite"))

## Add observation data from all observation files in specified directory
cprd_extract(db = aurum_extract,
filepath = system.file("aurum_data", package = "rcprd"),
filetype = "observation")
#> 
  |                                                                            
  |                                                                      |   0%
#> Adding /home/runner/work/_temp/Library/rcprd/aurum_data/aurum_allpatid_set1_extract_observation_001.txt 2025-03-28 16:31:00.208011
#> 
  |                                                                            
  |=======================                                               |  33%
#> Adding /home/runner/work/_temp/Library/rcprd/aurum_data/aurum_allpatid_set1_extract_observation_002.txt 2025-03-28 16:31:00.220926
#> 
  |                                                                            
  |===============================================                       |  67%
#> Adding /home/runner/work/_temp/Library/rcprd/aurum_data/aurum_allpatid_set1_extract_observation_003.txt 2025-03-28 16:31:00.232524
#> 
  |                                                                            
  |======================================================================| 100%

## Query database for a specific medcode
db_query(db_open = aurum_extract,
tab ="observation",
codelist_vector = "187341000000114")
#>     patid consid pracid  obsid    obsdate  enterdate staffid parentobsid
#>    <char> <char>  <int> <char>     <Date>     <Date>  <char>      <char>
#> 1:      1     42      1     81 1955-04-17 1981-10-12      85          35
#> 2:      2     56      1     77 1954-03-17 1932-02-22      24           4
#> 3:      6     40      1     41 1929-09-06 1951-01-12      98          80
#>          medcodeid value numunitid obstypeid numrangelow numrangehigh probobsid
#>             <char> <num>     <int>     <int>       <num>        <num>    <char>
#> 1: 187341000000114    84        79        67          24           22         5
#> 2: 187341000000114    46        92        81          56           30        18
#> 3: 187341000000114    28        20         5          41           97        92

## clean up
RSQLite::dbDisconnect(aurum_extract)
unlink(file.path(tempdir(), "temp.sqlite"))