applied copyedits to quote info docs
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@@ -14,9 +14,9 @@ Quota consumption is calculated based on the number of request made for each fun
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* It is advised to store results of these queries into your datasets, and refresh them as needed. This ensure more control of quota credits for your account
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## Quota information functions
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## Quota Information Functions
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Two functions are available to obtain information about available services quotas.
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There are several SQL functions that you can run to obtain quota information about your services.
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## cdb_service_quota_info()
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@@ -31,19 +31,19 @@ Name | Type | Description
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`service` | `text` | Type of service.
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`monthly_quota` | `numeric` | Quota available to the user (number of calls) per monthly period.
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`used_quota` | `numeric` | Quota used by the user in the present period.
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`soft_limit` | `boolean` | True if the user has *soft-limit* quota
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`provider` | `text` | Service provider for this type of service
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`soft_limit` | `boolean` | Set to `True`, if the user has *soft-limit* quota.
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`provider` | `text` | Service provider for this type of service.
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Service types:
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Service Types:
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* `'isolines'` [Isoline/Isochrones (isochrone/isodistance lines) service](https://carto.com/docs/carto-engine/dataservices-api/isoline_functions/)
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* `'hires_geocoder'` [Street level geocoding](https://carto.com/docs/carto-engine/dataservices-api/geocoding-functions#street-level-geocoder)
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* `'routing'` [Routing functions](https://carto.com/docs/carto-engine/dataservices-api/routing_functions/)
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* `'observatory'` Data Observatory services ([demographic](https://carto.com/docs/carto-engine/dataservices-api/demographic_functions/) and [segmentation](https://carto.com/docs/carto-engine/dataservices-api/segmentation_functions/) functions)
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Notes:
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**Notes**
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Users who have *soft-quota* activated never run out of quota, but they may incurr into extra
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Users who have *soft-quota* activated never run out of quota, but they may incur extra
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expenses when the regular quota is exceeded.
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A zero value of `monthly_quota` indicates that the service has not been activated for the user.
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@@ -67,31 +67,24 @@ Result:
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```
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In this case we notice the user has no access to the observatory services,
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all quotas are *hard-limited* (no soft limits), and no quota has been used
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in the present period.
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In this case, notice that the user has no access to the observatory services. All quotas are *hard-limited* (no soft limits), and no quota has been used in the present period.
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## cdb_enough_quota(service text ,input_size numeric)
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This function is useful to check if enough quota is available for completing a job.
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This is specially relevant if a number of service calls are to be performed inside a transaction:
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if any of the calls fails due to exceeded quota the transaction will be rolled back, resulting
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in some quota being consumed but no saved results from the services consumed.
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This is specifically relevant if a number of service calls are to be performed inside a transaction. If any of the calls fails (due to exceeded quota), the transaction will be rolled back; resulting in partial quota consumption, but no saved results from the services consumed.
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In the case of of calling repeatedly quota-consuming functions (e.g. to geocode a whole table) it is
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extremely important to first check if enough quota is available to complete the job using
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this function.
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**Tip:** If you are requesting repeating quota-consuming functions (e.g. to geocode a whole table), it is extremely important to check if enough quota is available to complete the job _before_ applying this function.
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Mind that some services consume more than one credit per row/call.
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E.g: isolines with more than one range/track would consume (N rows x M ranges) credits and therefore the input size should be N x M.
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Note that some services consume more than one credit per row/call. For example, isolines (with more than one range/track) consume (N rows x M ranges) credits; indicating that the input size should be N x M.
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#### Arguments
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Name | Type | Description
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------------ | --------- | -----------
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`service` | `text` | Service to check; see the list of valid services above
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`input_size` | `numeric` | Number of service calls required, i.e. size of the input to be processed
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`service` | `text` | Service to check; see the list of valid services above.
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`input_size` | `numeric` | Number of service calls required, i.e. size of the input to be processed.
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#### Returns
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@@ -101,9 +94,7 @@ insufficient quota.
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#### Example
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Imagine you wish to geocode a whole table.
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In order to check that you have enough quota and avoid a "quota exhausted" exception
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you should first find out how many records you need to geocode:
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Suppose you want to geocode a whole table. In order to check that you have enough quota, and avoid a "quota exhausted" exceptio, first find out how many records you need to geocode:
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```sql
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SELECT COUNT(*) FROM {tablename} WHERE {street_name_column} IS NOT NULL;
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@@ -118,15 +109,14 @@ Result: here's a sample result of 10000 records:
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(1 row)
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```
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Now you can find out if there's enough quota to complete this job. In this case
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each call to `cdb_geocode_street_point` will consume one quota credit, so we need
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as many credits as rows to be geocoded.
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The result shows how much quota is needed to complete this job. In this case,
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each call to `cdb_geocode_street_point` consumes one quota credit. This indicates that we need one credit per row to geocode the whole table.
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```sql
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SELECT cdb_enough_quota('hires_geocoder', {number_of_records});
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```
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The result should be similar to this:
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The result is similar to the following:
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```
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cdb_enough_quota
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@@ -134,12 +124,9 @@ The result should be similar to this:
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t
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```
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If the result of this query is *true* (`'t'`) you can safely proceed; if you get
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a *false* value (`'f'`) you should avoid the processing; use `cdb_service_quota_info` as explained
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above to obtain further information.
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If the result of this query is *true* (`'t'`), you can safely proceed. If a *false* value (`'f'`) is returned, you should avoid processing any more requests that consume quota. Apply the `cdb_service_quota_info` function to get more information about your services.
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Don't forget to apply any filtering conditions you've used to
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count the records (in our case `{street_name_column} IS NOT NULL`):
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**Note:** Remember to apply any filtering conditions that you used to count the records (in this case, `{street_name_column} IS NOT NULL`):
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```sql
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