Merge pull request #831 from tswast/new-dataset-project

update dataset to new Google-hosted location

Author: pradyunsg

source/guides/analyzing-pypi-package-downloads.rst

@@ -68,10 +68,10 @@ the `BigQuery quickstart guide
 Data schema
 -----------
 
-Linehaul writes an entry in a ``the-psf.pypi.file_downloads`` table for each
+Linehaul writes an entry in a ``bigquery-public-data.pypi.file_downloads`` table for each
 download. The table contains information about what file was downloaded and how
 it was downloaded. Some useful columns from the `table schema
-<https://console.cloud.google.com/bigquery?pli=1&p=the-psf&d=pypi&t=file_downloads&page=table>`__
+<https://console.cloud.google.com/bigquery?pli=1&p=bigquery-public-data&d=pypi&t=file_downloads&page=table>`__
 include:
 
 +------------------------+-----------------+-----------------------------+
@@ -108,7 +108,7 @@ The following query counts the total number of downloads for the project
 
     #standardSQL
     SELECT COUNT(*) AS num_downloads
-    FROM `the-psf.pypi.file_downloads`
+    FROM `bigquery-public-data.pypi.file_downloads`
     WHERE file.project = 'pytest'
       -- Only query the last 30 days of history
       AND DATE(timestamp)
@@ -118,7 +118,7 @@ The following query counts the total number of downloads for the project
 +---------------+
 | num_downloads |
 +===============+
-| 20531925      |
+| 26190085      |
 +---------------+
 
 To only count downloads from pip, filter on the ``details.installer.name``
@@ -128,7 +128,7 @@ column.
 
     #standardSQL
     SELECT COUNT(*) AS num_downloads
-    FROM `the-psf.pypi.file_downloads`
+    FROM `bigquery-public-data.pypi.file_downloads`
     WHERE file.project = 'pytest'
       AND details.installer.name = 'pip'
       -- Only query the last 30 days of history
@@ -139,7 +139,7 @@ column.
 +---------------+
 | num_downloads |
 +===============+
-| 19391645      |
+| 24334215      |
 +---------------+
 
 Package downloads over time
@@ -154,7 +154,7 @@ filtering by this column reduces corresponding costs.
     SELECT
       COUNT(*) AS num_downloads,
       DATE_TRUNC(DATE(timestamp), MONTH) AS `month`
-    FROM `the-psf.pypi.file_downloads`
+    FROM `bigquery-public-data.pypi.file_downloads`
     WHERE
       file.project = 'pytest'
       -- Only query the last 6 months of history
@@ -192,7 +192,7 @@ query processes over 500 GB of data.
     SELECT
       REGEXP_EXTRACT(details.python, r"[0-9]+\.[0-9]+") AS python_version,
       COUNT(*) AS num_downloads,
-    FROM `the-psf.pypi.file_downloads`
+    FROM `bigquery-public-data.pypi.file_downloads`
     WHERE
       -- Only query the last 6 months of history
       DATE(timestamp)
@@ -204,17 +204,17 @@ query processes over 500 GB of data.
 +--------+---------------+
 | python | num_downloads |
 +========+===============+
-| 3.7    | 12990683561   |
+| 3.7    | 18051328726   |
 +--------+---------------+
-| 3.6    | 9035598511    |
+| 3.6    | 9635067203    |
 +--------+---------------+
-| 2.7    | 8467785320    |
+| 3.8    | 7781904681    |
 +--------+---------------+
-| 3.8    | 4581627740    |
+| 2.7    | 6381252241    |
 +--------+---------------+
-| 3.5    | 2412533601    |
+| null   | 2026630299    |
 +--------+---------------+
-| null   | 1641456718    |
+| 3.5    | 1894153540    |
 +--------+---------------+
 
 Caveats
@@ -251,7 +251,7 @@ the official Python client library for BigQuery.
 
     query_job = client.query("""
     SELECT COUNT(*) AS num_downloads
-    FROM `the-psf.pypi.file_downloads`
+    FROM `bigquery-public-data.pypi.file_downloads`
     WHERE file.project = 'pytest'
       -- Only query the last 30 days of history
       AND DATE(timestamp)
@@ -303,7 +303,7 @@ References
 .. [#] `PyPI Download Counts deprecation email <https://mail.python.org/pipermail/distutils-sig/2013-May/020855.html>`__
 .. [#] `PyPI BigQuery dataset announcement email <https://mail.python.org/pipermail/distutils-sig/2016-May/028986.html>`__
 
-.. _public PyPI download statistics dataset: https://console.cloud.google.com/bigquery?p=the-psf&d=pypi&page=dataset
+.. _public PyPI download statistics dataset: https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=pypi&page=dataset
 .. _bandersnatch: /key_projects/#bandersnatch
 .. _Google BigQuery: https://cloud.google.com/bigquery
 .. _BigQuery web UI: https://console.cloud.google.com/bigquery