{ "_id": "6ac3d9e034f9a32edea22d13", "Package": "fabricQueryR", "Title": "Access and Manage 'Microsoft Fabric'", "Version": "1.0.1.9000", "Authors@R": "c(person(given = \"Luka\",\nfamily = \"Koning\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"koningluka@gmail.com\"),\nperson(given = \"Kennispunt Twente\",\nrole = \"fnd\",\nemail = \"info@kennispunttwente.nl\"))", "Description": "Access 'Microsoft Fabric' workspaces, items, and workload\nendpoints through its web application programming interfaces\n(APIs). Connect to data in 'OneLake', 'Lakehouse', 'Warehouse',\nsemantic model, and 'Eventhouse' items, with support for 'DBI',\n'Arrow', 'GraphQL', and 'Spark'. Manage files, tables,\nrefreshes, jobs, schedules, ingestion, and long-running\noperations.", "License": "MIT + file LICENSE", "VignetteBuilder": "knitr", "Additional_repositories": "https://r-dbi.r-universe.dev", "Config/testthat/edition": "3", "Config/Needs/ci": "adbcdrivermanager=url::https://cloud.r-project.org/src/contrib/Archive/adbcdrivermanager/adbcdrivermanager_0.23.0-2.tar.gz,\nadbi=url::https://cloud.r-project.org/src/contrib/Archive/adbi/adbi_0.1.2.tar.gz", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "URL": "https://github.com/kennispunttwente/fabricQueryR,\nhttps://kennispunttwente.github.io/fabricQueryR/", "BugReports": "https://github.com/kennispunttwente/fabricQueryR/issues", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "libpng-dev libzstd-dev libssl-dev python3", "Repository": "https://kennispunttwente.r-universe.dev", "Date/Publication": "2026-10-03 22:31:44 UTC", "RemoteUrl": "https://github.com/kennispunttwente/fabricqueryr", "RemoteRef": "HEAD", "RemoteSha": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-05 16:35:44 UTC", "User": "root" }, "Author": "Luka Koning [aut, cre, cph],\nKennispunt Twente [fnd]", "Maintainer": "Luka Koning ", "_user": "kennispunttwente", "_type": "src", "_file": "fabricQueryR_1.0.1.9000.tar.gz", "_fileid": "https://r2.ropensci.org/107c04facefba2999e42593c608a4454e5de7d964c2e09fa0c26ed5c98e3641a", "_filesize": 1428050, "_sha256": "107c04facefba2999e42593c608a4454e5de7d964c2e09fa0c26ed5c98e3641a", "_expires": "2027-01-13T17:09:50.000Z", "_created": "2026-10-05T16:35:44.000Z", "_published": "2026-10-05T17:09:52.257Z", "_jobs": [ { "job": 111871590260, "time": 279, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11359610728" }, { "job": 111871590220, "time": 266, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11359217656" }, { "job": 111871590178, "time": 186, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11359834751" }, { "job": 111871590274, "time": 174, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11360277552" }, { "job": 111869525487, "time": 280, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11358672581" }, { "job": 111871590021, "time": 114, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11358937086" }, { "job": 111871590423, "time": 191, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11358473394" }, { "job": 111871590216, "time": 156, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11358922188" }, { "job": 111871590606, "time": 188, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11359540577" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880", "_status": "success", "_upstream": "https://github.com/kennispunttwente/fabricqueryr", "_commit": { "id": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "author": "lukakoning ", "committer": "lukakoning ", "message": "Move Shiny integration to shinyOAuthDB and retain native token APIs\n", "time": 1791066704 }, "_maintainer": { "name": "Luka Koning", "email": "koningluka@gmail.com", "login": "lukakoning", "description": "", "uuid": 102363211 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "AzureAuth", "role": "Imports" }, { "package": "bit64", "role": "Imports" }, { "package": "httr2", "version": ">= 1.2.0", "role": "Imports" }, { "package": "R6", "role": "Imports" }, { "package": "vctrs", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "jsonlite", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "cli", "version": ">= 3.4.0", "role": "Imports" }, { "package": "nanoarrow", "version": ">= 0.8.0", "role": "Imports" }, { "package": "reticulate", "version": ">= 1.41", "role": "Imports" }, { "package": "rlang", "version": ">= 0.4.10", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "adbcdrivermanager", "role": "Suggests" }, { "package": "adbi", "role": "Suggests" }, { "package": "arrow", "version": ">= 17.0.0", "role": "Suggests" }, { "package": "DBI", "version": ">= 1.2.0", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "lifecycle", "role": "Suggests" }, { "package": "odbc", "role": "Suggests" }, { "package": "processx", "role": "Suggests" }, { "package": "purrr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.2.0", "role": "Suggests" }, { "package": "waldo", "role": "Suggests" }, { "package": "webfakes", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "kennispunttwente", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-47", "n": 1 }, { "week": "2026-13", "n": 4 }, { "week": "2026-14", "n": 9 }, { "week": "2026-30", "n": 109 }, { "week": "2026-31", "n": 88 }, { "week": "2026-32", "n": 160 }, { "week": "2026-33", "n": 199 }, { "week": "2026-34", "n": 120 }, { "week": "2026-35", "n": 152 }, { "week": "2026-36", "n": 180 }, { "week": "2026-37", "n": 46 }, { "week": "2026-38", "n": 109 }, { "week": "2026-39", "n": 24 }, { "week": "2026-40", "n": 22 } ], "_tags": [ { "name": "v0.2.1", "date": "2026-04-03" }, { "name": "v1.0.0", "date": "2026-09-23" }, { "name": "v1.0.1", "date": "2026-09-29" } ], "_topics": [ "azure", "fabric", "powerbi" ], "_stars": 6, "_contributors": [ { "user": "lukakoning", "count": 1275, "uuid": 102363211 } ], "_userbio": { "uuid": 205927260, "type": "organization", "name": "Kennispunt Twente", "followers": 14, "description": "Wij leveren data, inzicht en kennis om de Twentse samenleving te versterken." }, "_downloads": { "count": 553, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fabricQueryR" }, "_devurl": "https://github.com/kennispunttwente/fabricqueryr", "_pkgdown": "https://kennispunttwente.github.io/fabricQueryR/", "_searchresults": 13, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/fabricQueryR.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_homeurl": "https://github.com/kennispunttwente/fabricqueryr", "_realowner": "kennispunttwente", "_cranurl": true, "_releases": [ { "version": "0.1.1", "date": "2025-09-08" }, { "version": "0.2.0", "date": "2025-09-15" }, { "version": "0.2.1", "date": "2026-04-03" }, { "version": "1.0.0", "date": "2026-09-24" }, { "version": "1.0.1", "date": "2026-09-30" } ], "_exports": [ "fabric_catalog_search", "fabric_data_pipelines", "fabric_delta_config", "fabric_environments", "fabric_eventhouses", "fabric_function_invoke", "fabric_graphql_apis", "fabric_graphql_collect", "fabric_graphql_cursor", "fabric_graphql_paginate", "fabric_graphql_query", "fabric_graphql_schema", "fabric_item", "fabric_items", "fabric_job_cancel", "fabric_job_instances", "fabric_job_run", "fabric_job_schedule_config", "fabric_job_schedule_create", "fabric_job_schedule_delete", "fabric_job_schedule_update", "fabric_job_schedules", "fabric_job_status", "fabric_job_wait", "fabric_kql_databases", "fabric_kql_export", "fabric_kql_ingest", "fabric_kql_ingestion_status", "fabric_kql_query", "fabric_kql_read_table", "fabric_kql_tables", "fabric_kql_write_table", "fabric_lakehouse_load_table", "fabric_lakehouse_read_table", "fabric_lakehouse_schemas", "fabric_lakehouse_table", "fabric_lakehouse_tables", "fabric_lakehouse_write_table", "fabric_lakehouses", "fabric_livy_batch_attach", "fabric_livy_batch_submit", "fabric_livy_batches", "fabric_livy_query", "fabric_livy_session", "fabric_livy_session_attach", "fabric_livy_sessions", "fabric_mirrored_database_read_table", "fabric_mirrored_database_schemas", "fabric_mirrored_database_table", "fabric_mirrored_database_tables", "fabric_mirrored_databases", "fabric_notebooks", "fabric_onelake_delete", "fabric_onelake_download", "fabric_onelake_list", "fabric_onelake_metadata", "fabric_onelake_read_delta_table", "fabric_onelake_read_file", "fabric_onelake_schema_exists", "fabric_onelake_shortcut_cache_reset", "fabric_onelake_shortcut_create", "fabric_onelake_shortcut_delete", "fabric_onelake_shortcut_get", "fabric_onelake_shortcuts", "fabric_onelake_shortcuts_bulk_create", "fabric_onelake_table_exists", "fabric_onelake_upload", "fabric_onelake_write_file", "fabric_operation_result", "fabric_operation_status", "fabric_operation_wait", "fabric_pbi_dax_query", "fabric_pbi_refresh", "fabric_pbi_refresh_cancel", "fabric_pbi_refresh_history", "fabric_pbi_refresh_status", "fabric_pbi_refresh_wait", "fabric_semantic_models", "fabric_spark_job_definitions", "fabric_sql_connect", "fabric_sql_connection_info", "fabric_sql_databases", "fabric_sql_query", "fabric_sql_read_table", "fabric_sql_tables", "fabric_sql_views", "fabric_user_data_functions", "fabric_warehouse_read_table", "fabric_warehouse_schemas", "fabric_warehouse_snapshots", "fabric_warehouse_table", "fabric_warehouse_tables", "fabric_warehouse_write_table", "fabric_warehouses", "fabric_workspaces", "FabricEventhouse", "FabricGraphQLApi", "FabricItem", "FabricJobItem", "FabricKqlDatabase", "FabricLakehouse", "FabricLivyBatch", "FabricLivySession", "FabricLivyStatement", "FabricMirroredDatabase", "FabricSemanticModel", "FabricSqlDatabase", "FabricWarehouse", "FabricWarehouseSnapshot", "FabricWorkspace" ], "_help": [ { "page": "fabric_catalog_search", "title": "Search the OneLake catalog", "topics": [ "fabric_catalog_search" ] }, { "page": "fabric_delta_config", "title": "Inspect the optional Python Delta runtime", "topics": [ "fabric_delta_config" ] }, { "page": "fabric_function_invoke", "title": "Invoke a published Fabric user data function", "topics": [ "fabric_function_invoke" ] }, { "page": "fabric_graphql_collect", "title": "Collect paged GraphQL row objects into a tibble", "topics": [ "fabric_graphql_collect" ] }, { "page": "fabric_graphql_cursor", "title": "Locate pagination information in a GraphQL result", "topics": [ "fabric_graphql_cursor" ] }, { "page": "fabric_graphql_paginate", "title": "Read all pages from a Fabric GraphQL query", "topics": [ "fabric_graphql_paginate" ] }, { "page": "fabric_graphql_query", "title": "Run a query against a Fabric GraphQL API", "topics": [ "fabric_graphql_query" ] }, { "page": "fabric_graphql_schema", "title": "Inspect a Fabric GraphQL schema", "topics": [ "fabric_graphql_schema" ] }, { "page": "fabric_item", "title": "Discover one Microsoft Fabric item", "topics": [ "fabric_item" ] }, { "page": "fabric_items", "title": "Discover Microsoft Fabric items", "topics": [ "fabric_items" ] }, { "page": "fabric_job_instances", "title": "Inspect Microsoft Fabric job history", "topics": [ "fabric_job_instances" ] }, { "page": "fabric_job_run", "title": "Run and monitor Microsoft Fabric item jobs", "topics": [ "fabric_job_cancel", "fabric_job_run", "fabric_job_status", "fabric_job_wait" ] }, { "page": "fabric_job_schedule_config", "title": "Build a Microsoft Fabric job schedule configuration", "topics": [ "fabric_job_schedule_config" ] }, { "page": "fabric_job_schedules", "title": "Manage Microsoft Fabric item schedules", "topics": [ "fabric_job_schedules", "fabric_job_schedule_create", "fabric_job_schedule_delete", "fabric_job_schedule_update" ] }, { "page": "fabric_kql_export", "title": "Export a KQL query directly to external storage", "topics": [ "fabric_kql_export" ] }, { "page": "fabric_kql_ingest", "title": "Submit and monitor tracked Eventhouse ingestion", "topics": [ "fabric_kql_ingest", "fabric_kql_ingestion_status" ] }, { "page": "fabric_kql_query", "title": "Run a KQL query in Microsoft Fabric", "topics": [ "fabric_kql_query" ] }, { "page": "fabric_kql_read_table", "title": "Read a Microsoft Fabric KQL table", "topics": [ "fabric_kql_read_table" ] }, { "page": "fabric_kql_tables", "title": "Discover Microsoft Fabric KQL tables", "topics": [ "fabric_kql_tables" ] }, { "page": "fabric_kql_write_table", "title": "Write an R or Arrow object to an Eventhouse table", "topics": [ "fabric_kql_write_table" ] }, { "page": "fabric_lakehouse_read_table", "title": "Read a Microsoft Fabric Lakehouse table", "topics": [ "fabric_lakehouse_read_table" ] }, { "page": "fabric_lakehouse_tables", "title": "Discover and load Microsoft Fabric Lakehouse tables", "topics": [ "fabric_lakehouse_load_table", "fabric_lakehouse_tables", "fabric_lakehouse_write_table" ] }, { "page": "fabric_livy_batch_submit", "title": "Submit a Microsoft Fabric Livy batch job", "topics": [ "fabric_livy_batch_submit" ] }, { "page": "fabric_livy_query", "title": "Run Spark code in a temporary Microsoft Fabric Livy session", "topics": [ "fabric_livy_query" ] }, { "page": "fabric_livy_session", "title": "Create a Microsoft Fabric Livy session", "topics": [ "fabric_livy_session" ] }, { "page": "fabric_livy_sessions", "title": "Discover and reattach to Microsoft Fabric Livy work", "topics": [ "fabric_livy_batches", "fabric_livy_batch_attach", "fabric_livy_sessions", "fabric_livy_session_attach" ] }, { "page": "fabric_mirrored_database_tables", "title": "Work with Microsoft Fabric mirrored database tables", "topics": [ "fabric_mirrored_database_read_table", "fabric_mirrored_database_schemas", "fabric_mirrored_database_table", "fabric_mirrored_database_tables" ] }, { "page": "fabric_onelake_catalog", "title": "Discover OneLake schemas and individual tables", "topics": [ "fabric_lakehouse_schemas", "fabric_lakehouse_table", "fabric_onelake_catalog", "fabric_warehouse_schemas", "fabric_warehouse_table" ] }, { "page": "fabric_onelake_files", "title": "Work with files in Microsoft Fabric OneLake", "topics": [ "fabric_onelake_delete", "fabric_onelake_download", "fabric_onelake_files", "fabric_onelake_list", "fabric_onelake_metadata", "fabric_onelake_upload" ] }, { "page": "fabric_onelake_object_files", "title": "Read and write R or Arrow objects in OneLake Files", "topics": [ "fabric_onelake_object_files", "fabric_onelake_read_file", "fabric_onelake_write_file" ] }, { "page": "fabric_onelake_read_delta_table", "title": "Read a Delta table from OneLake", "topics": [ "fabric_onelake_read_delta_table" ] }, { "page": "fabric_onelake_schema_exists", "title": "Check whether a OneLake schema or table exists", "topics": [ "fabric_onelake_schema_exists", "fabric_onelake_table_exists" ] }, { "page": "fabric_onelake_shortcuts", "title": "Manage OneLake shortcuts", "topics": [ "fabric_onelake_shortcuts", "fabric_onelake_shortcuts_bulk_create", "fabric_onelake_shortcut_cache_reset", "fabric_onelake_shortcut_create", "fabric_onelake_shortcut_delete", "fabric_onelake_shortcut_get" ] }, { "page": "fabric_operation_status", "title": "Monitor Microsoft Fabric long-running operations", "topics": [ "fabric_operation_result", "fabric_operation_status", "fabric_operation_wait" ] }, { "page": "fabric_pbi_dax_query", "title": "Query a Microsoft Fabric/Power BI semantic model with DAX", "topics": [ "fabric_pbi_dax_query" ] }, { "page": "fabric_pbi_refresh", "title": "Refresh and monitor a Power BI semantic model", "topics": [ "fabric_pbi_refresh", "fabric_pbi_refresh_cancel", "fabric_pbi_refresh_history", "fabric_pbi_refresh_status", "fabric_pbi_refresh_wait" ] }, { "page": "fabric_sql_connect", "title": "Connect to a Microsoft Fabric SQL target", "topics": [ "fabric_sql_connect" ] }, { "page": "fabric_sql_connection_info", "title": "Get connection details for a Fabric SQL item", "topics": [ "fabric_sql_connection_info" ] }, { "page": "fabric_sql_query", "title": "Run a parameterized query against Microsoft Fabric SQL", "topics": [ "fabric_sql_query" ] }, { "page": "fabric_sql_tables", "title": "Discover and read tables through a Fabric SQL endpoint", "topics": [ "fabric_sql_read_table", "fabric_sql_tables", "fabric_sql_views" ] }, { "page": "fabric_typed_items", "title": "Typed Microsoft Fabric item discovery", "topics": [ "fabric_data_pipelines", "fabric_environments", "fabric_eventhouses", "fabric_graphql_apis", "fabric_kql_databases", "fabric_lakehouses", "fabric_mirrored_databases", "fabric_notebooks", "fabric_semantic_models", "fabric_spark_job_definitions", "fabric_sql_databases", "fabric_typed_items", "fabric_warehouses", "fabric_warehouse_snapshots" ] }, { "page": "fabric_user_data_functions", "title": "Discover Fabric User Data Functions", "topics": [ "fabric_user_data_functions" ] }, { "page": "fabric_warehouse_read_table", "title": "Read a Microsoft Fabric Warehouse table", "topics": [ "fabric_warehouse_read_table" ] }, { "page": "fabric_warehouse_tables", "title": "Discover Microsoft Fabric Warehouse tables", "topics": [ "fabric_warehouse_tables" ] }, { "page": "fabric_warehouse_write_table", "title": "Write an R or Arrow object to a Fabric Warehouse table", "topics": [ "fabric_warehouse_write_table" ] }, { "page": "fabric_workspaces", "title": "Discover Microsoft Fabric workspaces", "topics": [ "fabric_workspaces" ] }, { "page": "FabricItem", "title": "R6 objects for discovered Microsoft Fabric resources", "topics": [ "FabricEventhouse", "FabricGraphQLApi", "FabricItem", "FabricJobItem", "FabricKqlDatabase", "FabricKqlItem", "FabricLakehouse", "FabricMirroredDatabase", "FabricSemanticModel", "FabricSqlDatabase", "FabricWarehouse", "FabricWarehouseSnapshot", "FabricWorkspace" ] }, { "page": "FabricLivyBatch", "title": "A Microsoft Fabric Livy batch job", "topics": [ "FabricLivyBatch" ] }, { "page": "FabricLivySession", "title": "A Microsoft Fabric Livy session", "topics": [ "FabricLivySession" ] }, { "page": "FabricLivyStatement", "title": "A statement submitted to a Fabric Livy session", "topics": [ "FabricLivyStatement" ] }, { "page": "print.fabric_graphql_rows", "title": "Print collected GraphQL rows", "topics": [ "print.fabric_graphql_rows" ] }, { "page": "print.fabric_job", "title": "Print a submitted Fabric job", "topics": [ "print.fabric_job" ] }, { "page": "print.fabric_job_instance", "title": "Print Fabric job status", "topics": [ "print.fabric_job_instance" ] }, { "page": "print.fabric_job_schedule", "title": "Print a Fabric job schedule", "topics": [ "print.fabric_job_schedule" ] }, { "page": "print.fabric_kql_export_result", "title": "Print a KQL storage export result", "topics": [ "print.fabric_kql_export_result" ] }, { "page": "print.fabric_kql_ingestion", "title": "Print a tracked Kusto ingestion handle", "topics": [ "print.fabric_kql_ingestion" ] }, { "page": "print.fabric_kql_ingestion_status", "title": "Print tracked Kusto ingestion status", "topics": [ "print.fabric_kql_ingestion_status" ] }, { "page": "print.fabric_kql_write_result", "title": "Print an Eventhouse R/Arrow write result", "topics": [ "print.fabric_kql_write_result" ] }, { "page": "print.fabric_pbi_refresh", "title": "Print a submitted Power BI refresh", "topics": [ "print.fabric_pbi_refresh" ] }, { "page": "print.fabric_pbi_refresh_detail", "title": "Print Power BI refresh details", "topics": [ "print.fabric_pbi_refresh_detail" ] } ], "_readme": "https://github.com/kennispunttwente/fabricqueryr/raw/HEAD/README.md", "_rundeps": [ "askpass", "AzureAuth", "bit", "bit64", "cli", "curl", "glue", "here", "httr", "httr2", "jose", "jsonlite", "lattice", "lifecycle", "magrittr", "Matrix", "mime", "nanoarrow", "openssl", "pillar", "pkgconfig", "png", "R6", "rappdirs", "Rcpp", "RcppTOML", "reticulate", "rlang", "rprojroot", "sys", "tibble", "utf8", "vctrs", "withr" ], "_vignettes": [ { "source": "job-automation.Rmd", "filename": "job-automation.html", "title": "Automate and inspect Microsoft Fabric jobs", "engine": "knitr::rmarkdown", "headings": [ "Run once and inspect history", "Build schedule configurations", "Create, list, update, and disable", "Delete a schedule" ], "created": "2026-08-13 19:57:34", "modified": "2026-09-19 17:41:41", "commits": 15 }, { "source": "reading-data.Rmd", "filename": "reading-data.html", "title": "Bring Fabric data into R", "engine": "knitr::rmarkdown", "headings": [ "Choose a reading method", "Discover the data source once", "Read with SQL", "Read one table without writing a query", "Read Eventhouse data", "Query a semantic model with DAX", "Read a OneLake file", "Read through GraphQL or Spark", "Scale up with Arrow streams" ], "created": "2026-08-14 18:49:29", "modified": "2026-09-23 06:51:29", "commits": 18 }, { "source": "ingesting-data.Rmd", "filename": "ingesting-data.html", "title": "Bring R data into Microsoft Fabric", "engine": "knitr::rmarkdown", "headings": [ "Choose a destination", "Prepare a small R data frame", "Write a Lakehouse table", "Write an ordinary OneLake file", "Write a Warehouse table", "Write an Eventhouse table", "Load a file that is already in a Lakehouse", "Scale up with Arrow" ], "created": "2026-08-14 18:49:29", "modified": "2026-09-22 17:46:36", "commits": 13 }, { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Get started with 'fabricQueryR'", "engine": "knitr::rmarkdown", "headings": [ "The Fabric objects you will see", "Sign in", "Find a workspace and an item", "Complete a first read", "Choose the next guide" ], "created": "2026-08-14 18:49:29", "modified": "2026-09-22 17:46:36", "commits": 15 }, { "source": "authentication.Rmd", "filename": "authentication.html", "title": "Get started with Microsoft Fabric authentication", "engine": "knitr::rmarkdown", "headings": [ "Quick start: sign in as yourself", "1. Find your tenant ID", "2. Set the tenant ID in R", "3. Test the connection", "4. Save the settings for future R sessions", "Make sure Fabric access has been granted", "First-login troubleshooting", "How authentication works", "Treat endpoint URLs as credential boundaries", "Choosing an advanced authentication method", "Advanced: authentication for automation", "Service principal with a client secret", "Managed identities and custom token providers", "Set Fabric permissions by workload", "Signing out (token cache)" ], "created": "2026-07-25 09:20:42", "modified": "2026-08-31 18:25:59", "commits": 27 }, { "source": "user-data-functions.Rmd", "filename": "user-data-functions.html", "title": "Invoke Fabric user data functions (experimental)", "engine": "knitr::rmarkdown", "headings": [ "Lifecycle", "Prepare the function in Fabric", "Make a first call", "Send structured parameters", "Retry only safe functions", "Limits", "More information" ], "created": "2026-08-14 11:46:59", "modified": "2026-09-04 15:05:06", "commits": 16 }, { "source": "eventhouse-ingestion.Rmd", "filename": "eventhouse-ingestion.html", "title": "Working with Fabric Eventhouses (real-time data)", "engine": "knitr::rmarkdown", "headings": [ "Find a KQL database", "Write a small data frame in one call", "Queue a tracked batch", "Wait and inspect the outcome", "Scale up with Arrow", "Export a large KQL result to OneLake" ], "created": "2026-08-14 12:58:04", "modified": "2026-09-22 17:46:36", "commits": 19 }, { "source": "onelake-and-lakehouse.Rmd", "filename": "onelake-and-lakehouse.html", "title": "Working with Fabric Lakehouses and OneLake", "engine": "knitr::rmarkdown", "headings": [ "Find and connect to a Lakehouse", "List and read ordinary files", "Write or upload a file", "Discover and read managed tables", "Write an R object as a managed table", "Turn existing files into a table", "Read a large or historical Delta table" ], "created": "2026-08-14 18:49:29", "modified": "2026-09-22 19:23:59", "commits": 16 }, { "source": "warehouse.Rmd", "filename": "warehouse.html", "title": "Working with Fabric Warehouses", "engine": "knitr::rmarkdown", "headings": [ "Find and connect to a Warehouse", "Prepare a staging Lakehouse for writes", "Add rows to an existing table", "Replace table data", "Scale up with Arrow", "More information" ], "created": "2026-08-22 08:17:38", "modified": "2026-09-22 19:23:59", "commits": 8 }, { "source": "graphql-schema-and-rows.Rmd", "filename": "graphql-schema-and-rows.html", "title": "Working with GraphQL", "engine": "knitr::rmarkdown", "headings": [ "Run a first query", "Inspect the available fields", "Read more than one page", "Build an analysis-ready tibble", "Treat incomplete pagination as partial data" ], "created": "2026-08-14 12:16:43", "modified": "2026-09-05 10:00:01", "commits": 11 }, { "source": "spark-with-livy.Rmd", "filename": "spark-with-livy.html", "title": "Working with Livy (Spark)", "engine": "knitr::rmarkdown", "headings": [ "Before the first call", "Run one piece of Spark code", "Choose the language that matches the code", "Reuse a session for several statements", "Submit a complete application file", "Use an Environment for repeatable configuration" ], "created": "2026-08-14 18:49:29", "modified": "2026-09-22 17:46:36", "commits": 24 }, { "source": "semantic-model-refresh.Rmd", "filename": "semantic-model-refresh.html", "title": "Working with Semantic Models (DAX queries)", "engine": "knitr::rmarkdown", "headings": [ "Query the model with DAX", "Check access before refreshing", "Refresh after an upstream update", "Use enhanced refresh controls", "Diagnose attempts and failures", "Inspect history", "More information" ], "created": "2026-08-14 11:06:07", "modified": "2026-09-22 17:46:36", "commits": 18 } ], "_score": 6.816373888752362, "_indexed": true, "_nocasepkg": "fabricqueryr", "_universes": [ "kennispunttwente", "lukakoning" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.1.9000", "date": "2026-10-05T16:39:22.000Z", "distro": "resolute", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/fa6338cb6f2b0d13207c124b1c6aead3cda787278bff4dedad33285e93cfbe51", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.6.1", "os": "linux", "version": "1.0.1.9000", "date": "2026-10-05T16:39:15.000Z", "distro": "resolute", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/48d45863f5ba77997668d5c3e70fa446adef70541a2121f63a93b915efa43c05", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.5.3", "os": "mac", "version": "1.0.1.9000", "date": "2026-10-05T17:07:56.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/1cff303ffc1159e516ca753110ef25c4c39ab74f7e2d442a0801e5ad4659bda9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.6.1", "os": "mac", "version": "1.0.1.9000", "date": "2026-10-05T17:05:38.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/02a9db694b7db71f0e4ff6c224873efbdab1334f34f5e275ce5a3511a7f85afd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.1.9000", "date": "2026-10-05T16:38:25.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/85f35d7fc9761c24290074f1739387027586006ae754f36409e26aa31ef1069d", "status": "success", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.7.0", "os": "win", "version": "1.0.1.9000", "date": "2026-10-05T16:37:22.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/4e22220705f2b7ea1f259baffc51c9ddabc5304332e35a713ce0d5ac3916e389", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.5.3", "os": "win", "version": "1.0.1.9000", "date": "2026-10-05T16:37:36.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/5fd4cab2b4e319c26355cea3505ec39a970988558e9b99406c9e3145de2925b1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" }, { "r": "4.6.1", "os": "win", "version": "1.0.1.9000", "date": "2026-10-05T16:37:18.000Z", "commit": "c5a95a8783e9ba0147ec7757fa30ebbff695afb5", "fileid": "https://r2.ropensci.org/3db13c927d9b90edac199b3b51aa30ea0530bd4a354aad440c188f89ec3eeb54", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/kennispunttwente/actions/runs/37341483880" } ] }