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Docs: Add query example

This commit is contained in:
Katya Macedo 2024-12-20 13:32:39 -06:00
parent 4648a41cab
commit a17a2534f7
2 changed files with 10 additions and 17 deletions
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18
docs/api-reference/sql-api.md
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@ -85,20 +85,15 @@ The request body takes the following properties:
* `context`: JSON object containing optional [SQL query context parameters](../querying/sql-query-context.md), such as to set the query ID, time zone, and whether to use an approximation algorithm for distinct count.
* `parameters`: List of query parameters for parameterized queries. Each parameter in the array should be a JSON object containing the parameter's SQL data type and parameter value. For a list of supported SQL types, see [Data types](../querying/sql-data-types.md).
* `parameters`: List of query parameters for parameterized queries. Each parameter in the array should be a JSON object containing the parameter's SQL data type and parameter value. For more information on using dynamic parameters, see [Dynamic parameters](../querying/sql.md#dynamic-parameters). For a list of supported SQL types, see [Data types](../querying/sql-data-types.md).
For example:
```json
"parameters": [
{
"type": "VARCHAR",
"value": "bar"
},
{
"type": "ARRAY",
"value": [-25.7, null, 36.85]
}
]
{
"query": "SELECT \"arrayDouble\" FROM \"array_example\" WHERE ARRAY_CONTAINS(\"arrayDouble\", ?)",
"parameters": [{"type": "ARRAY", "value": [999, null, 5.5]}]
}
```
#### Responses
@ -155,7 +150,6 @@ If you detect a truncated response, treat it as an error.
---
#### Sample request
The following example retrieves all rows in the `wikipedia` datasource where the `user` is `BlueMoon2662`. The query is assigned the ID `request01` using the `sqlQueryId` context parameter. The optional properties `header`, `typesHeader`, and `sqlTypesHeader` are set to `true` to include type information to the response.

9
docs/querying/sql.md
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@ -403,7 +403,7 @@ The following example query uses the [ARRAY_CONTAINS](./sql-functions.md#array_c
```sql
{
"query": "SELECT doubleArrayColumn from druid.table where ARRAY_CONTAINS(?, doubleArrayColumn)",
"query": "SELECT doubleArrayColumn from druid.table where ARRAY_CONTAINS(doubleArrayColumn, ?)",
"parameters": [
{
"type": "ARRAY",
@ -428,17 +428,16 @@ SELECT * FROM druid.foo WHERE dim1 like CONCAT('%', CAST (? AS VARCHAR), '%')
Dynamic parameters can even replace arrays, reducing the parsing time. Refer to the parameters in the [API request body](../api-reference/sql-api.md#request-body) for usage.
```sql
SELECT arrayColumn from druid.table where ARRAY_CONTAINS(?, arrayColumn)
SELECT arrayColumn from druid.table where ARRAY_CONTAINS(arrayColumn, ?)
```
With this, an IN filter being supplied with a lot of values, can be replaced by a dynamic parameter passed inside [SCALAR_IN_ARRAY](sql-functions.md#scalar_in_array)
You can replace an IN filter with many values by dynamically passing a parameter into [SCALAR_IN_ARRAY](sql-functions.md#scalar_in_array).
For sample java queries, see [Dynamic parameters](../api-reference/sql-jdbc.md#dynamic-parameters).
```sql
SELECT count(city) from druid.table where SCALAR_IN_ARRAY(city, ?)
```
sample java code using dynamic parameters is provided [here](../api-reference/sql-jdbc.md#dynamic-parameters).
## Reserved keywords
Druid SQL reserves certain keywords which are used in its query language. Apache Druid inherits all of the reserved keywords from [Apache Calcite](https://calcite.apache.org/docs/reference.html#keywords). In addition to these, the following reserved keywords are unique to Apache Druid: