Closed gustavobio closed 7 years ago
Hello
When creating documents in bulk from a data frame, I get the following error if the data frame has only one column:
docs_bulk(specimens[1, "notes", drop = FALSE], index = "notes", type = "note") |======================================================================================| 100% [[1]] [[1]]$took [1] 42 [[1]]$errors [1] TRUE [[1]]$items [[1]]$items[[1]] [[1]]$items[[1]]$create [[1]]$items[[1]]$create$`_index` [1] "notes" [[1]]$items[[1]]$create$`_type` [1] "note" [[1]]$items[[1]]$create$`_id` [1] "AVfEYIGoCNtTV-ykYzaE" [[1]]$items[[1]]$create$status [1] 400 [[1]]$items[[1]]$create$error [[1]]$items[[1]]$create$error$type [1] "mapper_parsing_exception" [[1]]$items[[1]]$create$error$reason [1] "failed to parse" [[1]]$items[[1]]$create$error$caused_by [[1]]$items[[1]]$create$error$caused_by$type [1] "not_x_content_exception" [[1]]$items[[1]]$create$error$caused_by$reason [1] "Compressor detection can only be called on some xcontent bytes or compressed xcontent bytes"
If I add a second column, everything goes well:
> docs_bulk(specimens[1, c("notes", "species")], index = "notes", type = "note") |======================================================================================| 100% [[1]] [[1]]$took [1] 18 [[1]]$errors [1] FALSE [[1]]$items [[1]]$items[[1]] [[1]]$items[[1]]$create [[1]]$items[[1]]$create$`_index` [1] "notes" [[1]]$items[[1]]$create$`_type` [1] "note" [[1]]$items[[1]]$create$`_id` [1] "AVfEY7bvCNtTV-ykYzaF" [[1]]$items[[1]]$create$`_version` [1] 1 [[1]]$items[[1]]$create$`_shards` [[1]]$items[[1]]$create$`_shards`$total [1] 2 [[1]]$items[[1]]$create$`_shards`$successful [1] 1 [[1]]$items[[1]]$create$`_shards`$failed [1] 0 [[1]]$items[[1]]$create$status [1] 201
Thanks!
thanks for the report, i'll have a look
@gustavobio can you reinstall and try again? devtools::install_github("ropensci/elastic")
devtools::install_github("ropensci/elastic")
That was quick! Working great now, thanks!
glad it works 😼
Hello
When creating documents in bulk from a data frame, I get the following error if the data frame has only one column:
If I add a second column, everything goes well:
Thanks!