Package: sparklyr.nested 0.0.4
Matt Pollock
sparklyr.nested: A 'sparklyr' Extension for Nested Data
A 'sparklyr' extension adding the capability to work easily with nested data.
Authors:
sparklyr.nested_0.0.4.tar.gz
sparklyr.nested_0.0.4.zip(r-4.5)sparklyr.nested_0.0.4.zip(r-4.4)sparklyr.nested_0.0.4.zip(r-4.3)
sparklyr.nested_0.0.4.tgz(r-4.4-any)sparklyr.nested_0.0.4.tgz(r-4.3-any)
sparklyr.nested_0.0.4.tar.gz(r-4.5-noble)sparklyr.nested_0.0.4.tar.gz(r-4.4-noble)
sparklyr.nested_0.0.4.tgz(r-4.4-emscripten)sparklyr.nested_0.0.4.tgz(r-4.3-emscripten)
sparklyr.nested.pdf |sparklyr.nested.html✨
sparklyr.nested/json (API)
NEWS
| # Install 'sparklyr.nested' in R: |
| install.packages('sparklyr.nested', repos = c('https://mitre.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mitre/sparklyr.nested/issues
Last updated 2 years agofrom:e7abb7067b. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 13 2024 |
| R-4.5-win | NOTE | Oct 13 2024 |
| R-4.5-linux | NOTE | Oct 13 2024 |
| R-4.4-win | NOTE | Oct 13 2024 |
| R-4.4-mac | NOTE | Oct 13 2024 |
| R-4.3-win | OK | Oct 13 2024 |
| R-4.3-mac | OK | Oct 13 2024 |
Exports:array_typebinary_typeboolean_typebyte_typecharacter_typedate_typedouble_typefloat_typeinteger_typelong_typemap_typenumeric_typesdf_explodesdf_nestsdf_schema_jsonsdf_schema_viewersdf_selectsdf_unneststring_typestruct_fieldstruct_typetimestamp_type
Dependencies:askpassbase64encblobbslibcachemclicodetoolscommonmarkconfigcpp11crayoncurlDBIdbplyrdigestdplyrevaluatefansifastmapfontawesomefsgenericsglobalsgluehighrhtmltoolshtmlwidgetshttpuvhttrjquerylibjsonliteknitrlaterlifecyclelistviewermagrittrmemoisemimeopensslpillarpkgconfigpromisespurrrR6rappdirsRcpprlangrmarkdownrstudioapisassshinysourcetoolssparklyrstringistringrsystibbletidyrtidyselecttinytexutf8uuidvctrswithrxfunxml2xtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Explode data along a column | sdf_explode |
| Nest data in a Spark Dataframe | sdf_nest |
| Work with the schema | sdf_schema_json sdf_schema_viewer |
| Select nested items | sdf_select |
| Unnest data along a column | sdf_unnest |
| Spark Data Types | array_type binary_type boolean_type byte_type character_type date_type double_type float_type integer_type long_type map_type numeric_type string_type struct_field struct_type timestamp_type |
