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Cache management for Open Data

Source: R/od_cache.R
od_cache.Rd

Functions to inspect the contents of the current cache.

Usage

od_cache_summary(server = "ext")

od_downloads(server = "ext")

Arguments

server

the OGD-Server to use. "ext" for the external server (the default) or "red" for the editing server

Details

od_cache_summary() provides an overview of all contents of the cache through a data.frame. It hasone row for each dataset and the following columns. All file sizes are given in bytes

  • id the dataset id

  • updated the last modified time for ${id}.json

  • json the file size of ${id}.json

  • data the file size of ${id}.csv

  • header the file size of ${id}_HEADER.csv

  • fields the total file size of all files belonging to fields ({id}_C*.csv).

  • n_fields the number of field files

od_downloads() shows a download history for the current cache

  • time a timestamp for the download

  • file the filename

  • downloaded the download time in milliseconds

Examples

## make sure the cache is not empty
od_table("OGD_krebs_ext_KREBS_1")
#> Cancer statistics by reporting year, province of residence and
#> localisation of cancer
#> 
#> Dataset: OGD_krebs_ext_KREBS_1 (data.statistik.gv.at)
#> Measures: Number of records F-KRE
#> Fields: Tumore ICD/10 3-Steller <93>, Reporting year <40>, Province
#>   of residence <9>, Sex <2>
#> 
#> Request: [2024-04-18 10:02:34.196514]
#> STATcubeR: 0.5.0
od_table("OGD_veste309_Veste309_1")
#> Structure of Earnings Survey (SES) 2018 Gross hourly earnings
#> in EUR by citizenship, region (NUTS 2) and form of employment
#> 
#> Dataset: OGD_veste309_Veste309_1 (data.statistik.gv.at)
#> Measures: Arithmetic mean, 1st quartile, 2nd quartile (median), 3rd
#>   quartile, Number of employees
#> Fields: Sex <3>, Citizenship <9>, Region (NUTS2) <10>, Form of
#>   employment <7>
#> 
#> Request: [2024-04-18 10:02:39.472978]
#> STATcubeR: 0.5.0

## inspect
od_cache_summary()
#> # A data frame: 2 × 7
#>   id           updated              json   data header fields n_fields
#>   <chr>        <dttm>              <dbl>  <dbl>  <dbl>  <dbl>    <int>
#> 1 OGD_krebs_e… 2024-04-18 10:02:35  3765 2.83e6    287   9955        4
#> 2 OGD_veste30… 2024-04-18 10:02:39  4062 4.93e3    516   2015        4
od_downloads()
#> # A data frame: 14 × 3
#>    time                file                                 downloaded
#>  * <dttm>              <chr>                                     <dbl>
#>  1 2024-04-18 10:02:40 OGD_veste309_Veste309_1_C-BESCHV-0.…       102.
#>  2 2024-04-18 10:02:40 OGD_veste309_Veste309_1_C-VEBDL-0.c…       104.
#>  3 2024-04-18 10:02:40 OGD_veste309_Veste309_1_C-STAATS-0.…       102.
#>  4 2024-04-18 10:02:39 OGD_veste309_Veste309_1_C-A11-0.csv        102.
#>  5 2024-04-18 10:02:39 OGD_veste309_Veste309_1_HEADER.csv         102.
#>  6 2024-04-18 10:02:39 OGD_veste309_Veste309_1.csv                102.
#>  7 2024-04-18 10:02:39 OGD_veste309_Veste309_1.json               103.
#>  8 2024-04-18 10:02:39 OGD_krebs_ext_KREBS_1_C-KRE_GESCHLE…       102.
#>  9 2024-04-18 10:02:39 OGD_krebs_ext_KREBS_1_C-BUNDESLAND-…       102.
#> 10 2024-04-18 10:02:39 OGD_krebs_ext_KREBS_1_C-BERJ-0.csv         102.
#> 11 2024-04-18 10:02:39 OGD_krebs_ext_KREBS_1_C-TUM_ICD10_3…       102.
#> 12 2024-04-18 10:02:38 OGD_krebs_ext_KREBS_1_HEADER.csv           102.
#> 13 2024-04-18 10:02:38 OGD_krebs_ext_KREBS_1.csv                 3770.
#> 14 2024-04-18 10:02:35 OGD_krebs_ext_KREBS_1.json                 842.