GITBOOK-1667: Update supported function types for ingestion transform…

…ation.

developers/advanced/ingestion-level-transformations.md

@@ -41,7 +41,9 @@ If not set, Groovy for ingestion transformation is disabled by default.
 
 ### Inbuilt Pinot functions
 
-There are also several inbuilt functions that can be used directly as ingestion transform functions
+All the functions defined in [this directory](https://github.com/apache/pinot/tree/02cb2d4970c71a2ea5b4c140a860fbf220e11bd3/pinot-common/src/main/java/org/apache/pinot/common/function/scalar) annotated with `@ScalarFunction` (e.g. [toEpochSeconds](https://github.com/apache/pinot/blob/02cb2d4970c71a2ea5b4c140a860fbf220e11bd3/pinot-common/src/main/java/org/apache/pinot/common/function/scalar/DateTimeFunctions.java#L78)) are supported ingestion transformation functions.
+
+Below are some commonly used inbuilt Pinot functions for ingestion transformations.
 
 #### DateTime functions
 
@@ -101,7 +103,7 @@ Letters that are not part of Simple Date Time legend ([https://docs.oracle.com/j
 
 | Function name | Description                                                                                                                                                                                                                                                                                                       |
 | ------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| json_format   | <p>Converts a JSON/AVRO complex object to a string. This json map can then be queried using <a href="https://docs.pinot.apache.org/users/user-guide-query/pinot-query-language#transform-function-in-aggregation-and-grouping">jsonExtractScalar</a> function.</p><p><code>"json_format(jsonMapField)"</code></p> |
+| json\_format  | <p>Converts a JSON/AVRO complex object to a string. This json map can then be queried using <a href="https://docs.pinot.apache.org/users/user-guide-query/pinot-query-language#transform-function-in-aggregation-and-grouping">jsonExtractScalar</a> function.</p><p><code>"json_format(jsonMapField)"</code></p> |
 
 ## Types of transformation
 
@@ -143,8 +145,8 @@ Consider a table that has a string column `campaign` and a multi-value column do
 }
 ```
 
-Filter config also supports SQL-like expression of inbuilt [scalar functions](../../users/user-guide-query/scalar-functions.md#scalar-functions) for filtering records (starting v 0.11.0+).
-Example:
+Filter config also supports SQL-like expression of inbuilt [scalar functions](../../users/user-guide-query/scalar-functions.md#scalar-functions) for filtering records (starting v 0.11.0+). Example:
+
 ```javascript
 "ingestionConfig": {
     "filterConfig": {
@@ -174,7 +176,6 @@ Transform functions can be defined on columns in the ingestion config of the tab
 For example, imagine that our source data contains the `prices` and `timestamp` fields. We want to extract the maximum price and store that in the `maxPrices` field and convert the timestamp into the number of hours since the epoch and store it in the `hoursSinceEpoch` field. You can do this by applying the following transformation:
 
 {% code title="pinot-table-offline.json" %}
-
 ```javascript
 {
 "tableName": "myTable",
@@ -191,7 +192,6 @@ For example, imagine that our source data contains the `prices` and `timestamp`
   }
 }
 ```
-
 {% endcode %}
 
 Below are some examples of commonly used functions.