Hello,
I'm working with an on-premise R session and would like to connect to Databricks using sparklyr. RStudio server in this case is not an option.
I would like to use jdbc. I tested RJDBC + DBI and can conect locally and perform operations. However, my interest is to perform remote operations using sparklyr and then collect the results locally.
I'm using Azure. In my local environment, these are the commands I'm running:
config
The path for the jar file as well as the jdbc string are correct (supressed some text with "xxxx" for privacy). What I might be doing wrong?
My sessionInfo()
> sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS/LAPACK: /share/software/user/open/openblas/0.3.10/lib/libopenblas_haswellp-r0.3.10.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] catalog_0.1.1 sparklyr_1.7.9
loaded via a namespace (and not attached):
[1] rstudioapi_0.14 magrittr_2.0.3 tidyselect_1.2.0 R6_2.5.1
[5] rlang_1.0.6 fastmap_1.1.0 fansi_1.0.3 httr_1.4.4
[9] dplyr_1.0.10 tools_4.2.0 parallel_4.2.0 config_0.3.1
[13] utf8_1.2.2 cli_3.5.0 DBI_1.1.3 withr_2.5.0
[17] dbplyr_2.2.1 askpass_1.1 htmltools_0.5.4 ellipsis_0.3.2
[21] openssl_2.0.5 yaml_2.3.5 assertthat_0.2.1 rprojroot_2.0.3
[25] digest_0.6.29 tibble_3.1.8 lifecycle_1.0.3 forge_0.2.0
[29] tidyr_1.2.1 purrr_1.0.0 base64enc_0.1-3 htmlwidgets_1.6.1
[33] vctrs_0.5.1 glue_1.6.2 compiler_4.2.0 pillar_1.8.1
[37] r2d3_0.2.6 generics_0.1.3 jsonlite_1.8.4 pkgconfig_2.0.3
