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bigquery-etl
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Added sample counts for glam fenix (#2355) 

* added sample counts for glam fenix

* formatted for black format check

* Revert "formatted for black format check"

This reverts commit cf71fed487.

* formated for black format check

* added the sample coubt scripts
This commit is contained in:
Alekhya 2021-09-21 16:18:41 -04:00 коммит произвёл GitHub
Родитель 4a1b34e47f
Коммит df5eb5e77e
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Идентификатор ключа GPG: 4AEE18F83AFDEB23
15 изменённых файлов: 688 добавлений и 2 удалений
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17
bigquery_etl/glam/generate.py
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@ -140,8 +140,18 @@ def main():
"minimum": 1,
"description": "The number of versions to keep.",
},
"total_users": {
"type": "integer",
"minimum": 1,
"description": "The number of users to filter the data on.",
},
},
"required": ["build_date_udf", "filter_version", "num_versions_to_keep"],
"required": [
"build_date_udf",
"filter_version",
"num_versions_to_keep",
"total_users",
],
},
}
config = {
@ -149,16 +159,19 @@ def main():
"build_date_udf": "mozfun.glam.build_hour_to_datetime",
"filter_version": True,
"num_versions_to_keep": 3,
"total_users": 10,
},
"org_mozilla_fenix_glam_beta": {
"build_date_udf": "mozfun.glam.build_hour_to_datetime",
"filter_version": True,
"num_versions_to_keep": 3,
"total_users": 10,
},
"org_mozilla_fenix_glam_release": {
"build_date_udf": "mozfun.glam.build_hour_to_datetime",
"filter_version": True,
"num_versions_to_keep": 3,
"total_users": 10,
},
}
validate(instance=config, schema=config_schema)
@ -245,7 +258,9 @@ def main():
table("histogram_percentiles_v1"),
view("view_probe_counts_v1"),
view("view_user_counts_v1", **models.user_counts()),
view("view_sample_counts_v1", **models.sample_counts()),
table("extract_user_counts_v1", **config[args.prefix]),
table("extract_sample_counts_v1", **config[args.prefix]),
table("extract_probe_counts_v1", **config[args.prefix]),
]

22
bigquery_etl/glam/models.py
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@ -181,3 +181,25 @@ def user_counts(**kwargs):
attribute_combinations=compute_datacube_groupings(cubed_attributes),
**kwargs,
)
def sample_counts(**kwargs):
"""Variables for sample counts."""
attributes = [
"ping_type",
"os",
"app_version",
"app_build_id",
"channel",
"key",
"metric",
"value",
]
fixed_attributes = ["app_version", "channel", "metric", "value", "key"]
cubed_attributes = [x for x in attributes if x not in fixed_attributes]
return dict(
attributes=",".join(attributes),
cubed_attributes=cubed_attributes,
attribute_combinations=compute_datacube_groupings(cubed_attributes),
**kwargs,
)

2
bigquery_etl/glam/templates/extract_probe_counts_v1.sql
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@ -20,7 +20,7 @@ SELECT
FROM
`{{ dataset }}.{{ prefix }}__view_probe_counts_v1`
WHERE
total_users > 10
total_users > {{ total_users }}
GROUP BY
channel,
app_version,

14
bigquery_etl/glam/templates/extract_sample_counts_v1.sql Normal file
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@ -0,0 +1,14 @@
{{ header }}
SELECT
channel,
app_version,
metric,
key,
coalesce(ping_type, "*") as ping_type,
COALESCE(app_build_id, "*") as app_build_id,
IF(app_build_id="*", NULL, SAFE_CAST({{ build_date_udf }}(app_build_id) AS STRING))AS build_date,
COALESCE(os, "*") AS os,
total_sample
FROM
`{{ dataset }}.{{ prefix }}__view_sample_counts_v1`

44
bigquery_etl/glam/templates/view_sample_counts_v1.sql Normal file
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@ -0,0 +1,44 @@
{{ header }}
{% from 'macros.sql' import enumerate_table_combinations %}
CREATE OR REPLACE VIEW
`{{ project }}.{{ dataset }}.{{ prefix }}__view_sample_counts_v1`
AS
WITH all_clients AS (
SELECT
{{ attributes }}
FROM `{{ project }}`.{{ dataset }}.{{ prefix }}__clients_histogram_aggregates_v1,
UNNEST(histogram_aggregates) h1
),
{{
enumerate_table_combinations(
"all_clients",
"all_combos",
cubed_attributes,
attribute_combinations
)
}}
SELECT
ping_type,
os,
app_version,
app_build_id,
channel,
all_combos.key,
metric,
SUM(v1.value) AS total_sample
FROM
all_combos,
UNNEST(value) AS v1
GROUP BY
ping_type,
os,
app_version,
app_build_id,
channel,
key,
metric

5
script/glam/export_csv
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@ -21,3 +21,8 @@ bq extract --destination_format CSV --noprint_header \
bq extract --destination_format CSV --noprint_header \
"${src_project}:${dataset}.${product}__extract_user_counts_v1" \
"$bucket/glam-extract-${product}-counts.csv"
bq extract --destination_format CSV --noprint_header \
"${src_project}:${dataset}.${product}__extract_sample_counts_v1" \
"$bucket/glam-extract-${product}-sample-counts.csv"

4
script/glam/run_glam_sql
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@ -284,11 +284,15 @@ function run_glean_sql {
pids+=($!)
run_view "${product}__view_user_counts_v1" &
pids+=($!)
run_view "${product}__view_sample_counts_v1" &
pids+=($!)
wait_pids "${pids[@]}"
pids=()
run_query "${product}__extract_user_counts_v1" &
pids+=($!)
run_query "${product}__extract_sample_counts_v1" &
pids+=($!)
run_query "${product}__extract_probe_counts_v1" &
pids+=($!)
wait_pids "${pids[@]}"

147
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix__clients_daily_scalar_aggregates_metrics_v1/query.sql
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@ -238,6 +238,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_delete_card AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_deleted) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_deleted',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_manual_save',
'counter',
@ -273,6 +308,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_manual_save AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_saved) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_saved',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'engine_kill_background_age',
'timespan',
@ -1613,6 +1683,76 @@ unlabeled_metrics AS (
'',
'true',
SUM(CAST(metrics.boolean.preferences_voice_search_enabled AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_bookmark_clicked) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_show_all_bookmarks) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
)
] AS scalar_aggregates
FROM
@ -1636,9 +1776,16 @@ grouped_labeled_metrics AS (
app_build_id,
channel,
ARRAY<STRUCT<name STRING, type STRING, value ARRAY<STRUCT<key STRING, value INT64>>>>[
('avif_alpha', 'labeled_counter', metrics.labeled_counter.avif_alpha),
('avif_bit_depth', 'labeled_counter', metrics.labeled_counter.avif_bit_depth),
('avif_cicp_cp', 'labeled_counter', metrics.labeled_counter.avif_cicp_cp),
('avif_cicp_mc', 'labeled_counter', metrics.labeled_counter.avif_cicp_mc),
('avif_cicp_tc', 'labeled_counter', metrics.labeled_counter.avif_cicp_tc),
('avif_colr', 'labeled_counter', metrics.labeled_counter.avif_colr),
('avif_decode_result', 'labeled_counter', metrics.labeled_counter.avif_decode_result),
('avif_decoder', 'labeled_counter', metrics.labeled_counter.avif_decoder),
('avif_ispe', 'labeled_counter', metrics.labeled_counter.avif_ispe),
('avif_pixi', 'labeled_counter', metrics.labeled_counter.avif_pixi),
('avif_yuv_color_space', 'labeled_counter', metrics.labeled_counter.avif_yuv_color_space),
(
'browser_search_ad_clicks',

17
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__extract_sample_counts_v1/query.sql Normal file
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@ -0,0 +1,17 @@
-- query for org_mozilla_fenix_glam_nightly__extract_sample_counts_v1;
SELECT
channel,
app_version,
metric,
key,
coalesce(ping_type, "*") AS ping_type,
COALESCE(app_build_id, "*") AS app_build_id,
IF(
app_build_id = "*",
NULL,
SAFE_CAST(mozfun.glam.build_hour_to_datetime(app_build_id) AS STRING)
) AS build_date,
COALESCE(os, "*") AS os,
total_sample
FROM
`glam_etl.org_mozilla_fenix_glam_nightly__view_sample_counts_v1`

28
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__extract_sample_counts_v1/schema.yaml Normal file
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@ -0,0 +1,28 @@
fields:
- mode: NULLABLE
name: channel
type: STRING
- mode: NULLABLE
name: app_version
type: INTEGER
- mode: NULLABLE
name: metric
type: STRING
- mode: NULLABLE
name: key
type: STRING
- mode: NULLABLE
name: ping_type
type: STRING
- mode: NULLABLE
name: app_build_id
type: STRING
- mode: NULLABLE
name: build_date
type: STRING
- mode: NULLABLE
name: os
type: STRING
- mode: NULLABLE
name: total_sample
type: INTEGER

8
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__histogram_bucket_counts_v1/query.sql
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@ -185,6 +185,14 @@ distribution_metadata AS (
100 AS range_max,
20 AS bucket_count,
"linear" AS histogram_type
),
STRUCT(
"custom_distribution" AS metric_type,
"performance_clone_deserialize_items" AS metric,
1 AS range_min,
2147483646 AS range_max,
50 AS bucket_count,
"exponential" AS histogram_type
)
]
)

17
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__view_sample_counts_v1/schema.yaml Normal file
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@ -0,0 +1,17 @@
fields:
- name: ping_type
type: STRING
- name: os
type: STRING
- name: app_version
type: INTEGER
- name: app_build_id
type: STRING
- name: channel
type: STRING
- name: key
type: STRING
- name: metric
type: STRING
- name: total_sample
type: INTEGER

71
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_glam_nightly__view_sample_counts_v1/view.sql Normal file
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@ -0,0 +1,71 @@
-- view for org_mozilla_fenix_glam_nightly__view_sample_counts_v1;
CREATE OR REPLACE VIEW
`glam-fenix-dev.glam_etl.org_mozilla_fenix_glam_nightly__view_sample_counts_v1`
AS
WITH all_clients AS (
SELECT
ping_type,
os,
app_version,
app_build_id,
channel,
key,
metric,
value
FROM
`glam-fenix-dev`.glam_etl.org_mozilla_fenix_glam_nightly__clients_histogram_aggregates_v1,
UNNEST(histogram_aggregates) h1
),
-- Cross join with the attribute combinations to reduce the query complexity
-- with respect to the number of operations. A table with n rows cross joined
-- with a combination of m attributes will generate a new table with n*m rows.
-- The glob ("*") symbol can be understood as selecting all of values belonging
-- to that group.
static_combos AS (
SELECT
combos.*
FROM
UNNEST(
ARRAY<STRUCT<ping_type STRING, os STRING, app_build_id STRING>>[
(NULL, NULL, NULL),
(NULL, NULL, "*"),
(NULL, "*", NULL),
("*", NULL, NULL),
(NULL, "*", "*"),
("*", NULL, "*"),
("*", "*", NULL),
("*", "*", "*")
]
) AS combos
),
all_combos AS (
SELECT
table.* EXCEPT (ping_type, os, app_build_id),
COALESCE(combo.ping_type, table.ping_type) AS ping_type,
COALESCE(combo.os, table.os) AS os,
COALESCE(combo.app_build_id, table.app_build_id) AS app_build_id
FROM
all_clients table
CROSS JOIN
static_combos combo
)
SELECT
ping_type,
os,
app_version,
app_build_id,
channel,
all_combos.key,
metric,
SUM(v1.value) AS total_sample
FROM
all_combos,
UNNEST(value) AS v1
GROUP BY
ping_type,
os,
app_version,
app_build_id,
channel,
key,
metric

147
sql/glam-fenix-dev/glam_etl/org_mozilla_fenix_nightly__clients_daily_scalar_aggregates_metrics_v1/query.sql
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@ -238,6 +238,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_delete_card AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_deleted) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_deleted',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_manual_save',
'counter',
@ -273,6 +308,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_manual_save AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_saved) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_saved',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'engine_kill_background_age',
'timespan',
@ -1613,6 +1683,76 @@ unlabeled_metrics AS (
'',
'true',
SUM(CAST(metrics.boolean.preferences_voice_search_enabled AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_bookmark_clicked) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_show_all_bookmarks) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
)
] AS scalar_aggregates
FROM
@ -1636,9 +1776,16 @@ grouped_labeled_metrics AS (
app_build_id,
channel,
ARRAY<STRUCT<name STRING, type STRING, value ARRAY<STRUCT<key STRING, value INT64>>>>[
('avif_alpha', 'labeled_counter', metrics.labeled_counter.avif_alpha),
('avif_bit_depth', 'labeled_counter', metrics.labeled_counter.avif_bit_depth),
('avif_cicp_cp', 'labeled_counter', metrics.labeled_counter.avif_cicp_cp),
('avif_cicp_mc', 'labeled_counter', metrics.labeled_counter.avif_cicp_mc),
('avif_cicp_tc', 'labeled_counter', metrics.labeled_counter.avif_cicp_tc),
('avif_colr', 'labeled_counter', metrics.labeled_counter.avif_colr),
('avif_decode_result', 'labeled_counter', metrics.labeled_counter.avif_decode_result),
('avif_decoder', 'labeled_counter', metrics.labeled_counter.avif_decoder),
('avif_ispe', 'labeled_counter', metrics.labeled_counter.avif_ispe),
('avif_pixi', 'labeled_counter', metrics.labeled_counter.avif_pixi),
('avif_yuv_color_space', 'labeled_counter', metrics.labeled_counter.avif_yuv_color_space),
(
'browser_search_ad_clicks',

147
sql/glam-fenix-dev/glam_etl/org_mozilla_fennec_aurora__clients_daily_scalar_aggregates_metrics_v1/query.sql
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@ -238,6 +238,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_delete_card AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_deleted) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_deleted',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_deleted',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_deleted AS INT64))
),
(
'credit_cards_manual_save',
'counter',
@ -273,6 +308,41 @@ unlabeled_metrics AS (
'sum',
sum(CAST(metrics.counter.credit_cards_manual_save AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'avg',
avg(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'count',
IF(MIN(metrics.counter.credit_cards_saved) IS NULL, NULL, COUNT(*))
),
(
'credit_cards_saved',
'counter',
'',
'max',
max(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'min',
min(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'credit_cards_saved',
'counter',
'',
'sum',
sum(CAST(metrics.counter.credit_cards_saved AS INT64))
),
(
'engine_kill_background_age',
'timespan',
@ -1613,6 +1683,76 @@ unlabeled_metrics AS (
'',
'true',
SUM(CAST(metrics.boolean.preferences_voice_search_enabled AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_bookmark_clicked) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_bookmark_clicked',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_bookmark_clicked AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'avg',
avg(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'count',
IF(MIN(metrics.counter.recent_bookmarks_show_all_bookmarks) IS NULL, NULL, COUNT(*))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'max',
max(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'min',
min(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
),
(
'recent_bookmarks_show_all_bookmarks',
'counter',
'',
'sum',
sum(CAST(metrics.counter.recent_bookmarks_show_all_bookmarks AS INT64))
)
] AS scalar_aggregates
FROM
@ -1636,9 +1776,16 @@ grouped_labeled_metrics AS (
app_build_id,
channel,
ARRAY<STRUCT<name STRING, type STRING, value ARRAY<STRUCT<key STRING, value INT64>>>>[
('avif_alpha', 'labeled_counter', metrics.labeled_counter.avif_alpha),
('avif_bit_depth', 'labeled_counter', metrics.labeled_counter.avif_bit_depth),
('avif_cicp_cp', 'labeled_counter', metrics.labeled_counter.avif_cicp_cp),
('avif_cicp_mc', 'labeled_counter', metrics.labeled_counter.avif_cicp_mc),
('avif_cicp_tc', 'labeled_counter', metrics.labeled_counter.avif_cicp_tc),
('avif_colr', 'labeled_counter', metrics.labeled_counter.avif_colr),
('avif_decode_result', 'labeled_counter', metrics.labeled_counter.avif_decode_result),
('avif_decoder', 'labeled_counter', metrics.labeled_counter.avif_decoder),
('avif_ispe', 'labeled_counter', metrics.labeled_counter.avif_ispe),
('avif_pixi', 'labeled_counter', metrics.labeled_counter.avif_pixi),
('avif_yuv_color_space', 'labeled_counter', metrics.labeled_counter.avif_yuv_color_space),
(
'browser_search_ad_clicks',