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chore: remove unnecessary ::timestamp casts #5596

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Sep 12, 2024
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chore: remove unnecessary ::timestamp casts #5596

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2 changes: 1 addition & 1 deletion content/influxdb/cloud-dedicated/get-started/query.md
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Original file line number Diff line number Diff line change
Expand Up @@ -162,7 +162,7 @@ WHERE
{{% influxdb/custom-timestamps %}}
```sql
SELECT
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z'::TIMESTAMP) as _time,
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z') as _time,
room,
selector_max(temp, time)['value'] AS 'max temp'
FROM
Expand Down
12 changes: 6 additions & 6 deletions content/influxdb/cloud-dedicated/query-data/sql/aggregate-select.md
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Expand Up @@ -28,7 +28,7 @@ list_code_example: |
##### Aggregate by time-based intervals
```sql
SELECT
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z'::TIMESTAMP) AS time,
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z') AS time,
mean(field1),
sum(field2),
tag1
Expand Down Expand Up @@ -206,7 +206,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time
FROM home
...
```
Expand All @@ -225,7 +225,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time
...
GROUP BY 1, room
...
Expand All @@ -235,7 +235,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS _time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS _time
FROM home
...
GROUP BY _time, room
Expand All @@ -247,7 +247,7 @@ The following example retrieves unique combinations of time intervals and rooms

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down Expand Up @@ -288,7 +288,7 @@ If you want to reference a calculated time column by name, use an alias differen

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP)
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z')
AS _time,
room,
selector_max(temp, time)['value'] AS 'max temp',
Expand Down
2 changes: 1 addition & 1 deletion ...ent/influxdb/cloud-dedicated/reference/client-libraries/flight/python-flight.md
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Expand Up @@ -21,7 +21,7 @@ list_code_example: |
sql="""
SELECT DATE_BIN(INTERVAL '2 hours',
time,
'1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
'1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/cloud-dedicated/reference/sql/_index.md
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Expand Up @@ -634,7 +634,7 @@ WHERE time >= timestamp '2019-09-10T00:00:00Z' AND time <= timestamp '2019-09-19
#### Examples

```sql
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z'::timestamp) AS "_time",
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z') AS "_time",
SUM(water_level)
FROM "h2o_feet"
GROUP BY "_time"
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/cloud-dedicated/reference/sql/where.md
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Expand Up @@ -89,7 +89,7 @@ and a `level description` field value that equals `below 3 feet`.
SELECT *
FROM h2o_feet
WHERE "location" = 'santa_monica'
AND "time" >= '2019-08-19T12:00:00Z'::timestamp AND "time" <= '2019-08-19T13:00:00Z'::timestamp
AND "time" >= '2019-08-19T12:00:00Z' AND "time" <= '2019-08-19T13:00:00Z'
```

{{< expand-wrapper >}}
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/cloud-serverless/get-started/query.md
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Expand Up @@ -160,7 +160,7 @@ WHERE
{{% influxdb/custom-timestamps %}}
```sql
SELECT
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z'::TIMESTAMP) as _time,
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z') as _time,
room,
selector_max(temp, time)['value'] AS 'max temp'
FROM
Expand Down
12 changes: 6 additions & 6 deletions content/influxdb/cloud-serverless/query-data/sql/aggregate-select.md
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ list_code_example: |
##### Aggregate by time-based intervals
```sql
SELECT
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z'::TIMESTAMP) AS time,
DATE_BIN(INTERVAL '1 hour', time, '2022-01-01T00:00:00Z') AS time,
mean(field1),
sum(field2),
tag1
Expand Down Expand Up @@ -206,7 +206,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time
FROM home
...
```
Expand All @@ -224,7 +224,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time
...
GROUP BY 1, room
...
Expand All @@ -234,7 +234,7 @@ groups:

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS _time
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS _time
FROM home
...
GROUP BY _time, room
Expand All @@ -246,7 +246,7 @@ The following example retrieves unique combinations of time intervals and rooms

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down Expand Up @@ -287,7 +287,7 @@ If you want to reference a calculated time column by name, use an alias differen

```sql
SELECT
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z'::TIMESTAMP)
DATE_BIN(INTERVAL '2 hours', time, '1970-01-01T00:00:00Z')
AS _time,
room,
selector_max(temp, time)['value'] AS 'max temp',
Expand Down
4 changes: 2 additions & 2 deletions ...nt/influxdb/cloud-serverless/reference/client-libraries/flight/python-flight.md
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Expand Up @@ -21,7 +21,7 @@ list_code_example: |
sql="""
SELECT DATE_BIN(INTERVAL '2 hours',
time,
'1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
'1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down Expand Up @@ -80,7 +80,7 @@ import tabulate
sql="""
SELECT DATE_BIN(INTERVAL '2 hours',
time,
'1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
'1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/cloud-serverless/reference/sql/_index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -634,7 +634,7 @@ WHERE time >= timestamp '2019-09-10T00:00:00Z' AND time <= timestamp '2019-09-19
#### Examples

```sql
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z'::timestamp) AS "_time",
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z') AS "_time",
SUM(water_level)
FROM "h2o_feet"
GROUP BY "_time"
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/cloud-serverless/reference/sql/where.md
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Expand Up @@ -88,7 +88,7 @@ and a `level description` field value that equals `below 3 feet`.
SELECT *
FROM h2o_feet
WHERE "location" = 'santa_monica'
AND "time" >= '2019-08-19T12:00:00Z'::timestamp AND "time" <= '2019-08-19T13:00:00Z'::timestamp
AND "time" >= '2019-08-19T12:00:00Z' AND "time" <= '2019-08-19T13:00:00Z'
```

{{< expand-wrapper >}}
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/clustered/reference/client-libraries/flight/python-flight.md
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ list_code_example: |
sql="""
SELECT DATE_BIN(INTERVAL '2 hours',
time,
'1970-01-01T00:00:00Z'::TIMESTAMP) AS time,
'1970-01-01T00:00:00Z') AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/clustered/reference/sql/_index.md
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Expand Up @@ -637,7 +637,7 @@ WHERE time >= timestamp '2019-09-10T00:00:00Z' AND time <= timestamp '2019-09-19
#### Examples

```sql
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z'::timestamp) AS "_time",
SELECT DATE_BIN(INTERVAL '1 hour', time, '2019-09-18T00:00:00Z') AS "_time",
SUM(water_level)
FROM "h2o_feet"
GROUP BY "_time"
Expand Down
2 changes: 1 addition & 1 deletion content/influxdb/clustered/reference/sql/where.md
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Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,7 @@ and a `level description` field value that equals `below 3 feet`.
SELECT *
FROM h2o_feet
WHERE "location" = 'santa_monica'
AND "time" >= '2019-08-19T12:00:00Z'::timestamp AND "time" <= '2019-08-19T13:00:00Z'::timestamp
AND "time" >= '2019-08-19T12:00:00Z' AND "time" <= '2019-08-19T13:00:00Z'
```

{{< expand-wrapper >}}
Expand Down