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remove shinyapps link
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R/partition.R

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#'
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#' @return A list of copy jobs for the sharded tables that will be copied to one partitioned table
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#'
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#' @seealso \href{Partitioned Tables Help}{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}
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#' @seealso \href{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}{Partitioned Tables Help}
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#' @export
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#' @importFrom stats setNames
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bqr_partition <- function(sharded,

man/bqr_partition.Rd

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vignettes/bigQueryR.Rmd

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It also has support for data extracts to Google Cloud Storage, meaning you can download data and make the download URL available to a user via their Google email. If you do a query normally with over 100000 results it hangs and errors.
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An example of a BigQuery Shiny app running OAuth2 is here, the [BigQuery Visualiser](https://mark.shinyapps.io/bigquery-viz/)
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## Authentication
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Authentication is as used in other `googleAuthR` libraries:

vignettes/bigQueryR.html

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<meta name="author" content="Mark Edmondson" />
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<meta name="date" content="2019-09-25" />
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<meta name="date" content="2019-10-09" />
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<title>bigQueryR</title>
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<h1 class="title toc-ignore">bigQueryR</h1>
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<h4 class="author">Mark Edmondson</h4>
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<h4 class="date">2019-09-25</h4>
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<h4 class="date">2019-10-09</h4>
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<h3>Why this package then?</h3>
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<p>This package is here as it uses <a href="https://github.com/MarkEdmondson1234/googleAuthR">googleAuthR</a> as backend, so has Shiny support, and compatibility with other googleAuthR dependent packages.</p>
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<p>It also has support for data extracts to Google Cloud Storage, meaning you can download data and make the download URL available to a user via their Google email. If you do a query normally with over 100000 results it hangs and errors.</p>
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<p>An example of a BigQuery Shiny app running OAuth2 is here, the <a href="https://mark.shinyapps.io/bigquery-viz/">BigQuery Visualiser</a></p>
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</div>
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</div>
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<div id="authentication" class="section level2">

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