View source: R/efficient-reading.R
| opendatasus_processar | R Documentation |
Downloads the selected resource using the regular atomic cache, expands multipart resources, and invokes a callback for bounded-size chunks. Returning small summaries or 'NULL' from the callback keeps memory use independent of the complete dataset size.
opendatasus_processar(
conjunto,
FUN,
recurso = NULL,
ano = "last",
formato = "CSV",
destino = NULL,
cache = TRUE,
atualizar = FALSE,
colunas = NULL,
tamanho_bloco = 100000L,
sistema = NULL,
...
)
conjunto |
Dataset slug returned by [opendatasus_catalogo()]. |
FUN |
Function called as 'FUN(dados, posicao, arquivo)', where 'posicao' is the first row position within a file and 'arquivo' is the one-based file-part index. |
recurso |
Optional exact resource name or stable resource identifier. |
ano |
Resource year, '"last"' for the latest dated resource, or 'NULL'. Ignored when 'recurso' is supplied. |
formato |
Resource format. When both 'recurso' and 'formato' are 'NULL', CSV is preferred. |
destino |
Optional destination file or existing directory. 'NULL' uses the package cache, or a temporary file when 'cache = FALSE'. |
cache |
Whether to cache portal metadata for the duration controlled by option 'datasus.cache_ttl'. |
atualizar |
Whether to ignore cached metadata and query the portal again. |
colunas |
Optional character vector selecting columns while CSV files are parsed. JSON columns are selected after parsing. |
tamanho_bloco |
Positive number of rows parsed per chunk. |
sistema |
Optional dictionary system accepted by [datasus_padronizar()]. When supplied, each chunk is standardized before 'FUN' is called. |
... |
Additional arguments passed to [readr::read_delim()] or [jsonlite::fromJSON()]. |
An object of class '"datasus_processamento"' containing callback results, row, chunk and file counts, and provenance for every file.
old_options <- options(
datasus.timeout = 5,
datasus.download_timeout = 15,
datasus.max_tries = 1
)
try({
summary <- opendatasus_processar(
"doses-aplicadas-pelo-programa-de-nacional-de-imunizacoes-pni-2026",
recurso = "Vacinação - Julho 2026",
ano = NULL,
formato = "CSV",
FUN = function(dados, posicao, arquivo) nrow(dados),
tamanho_bloco = 50000
)
})
options(old_options)
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