PPL command implementation for appendCol

docs/ppl-lang/PPL-Example-Commands.md

@@ -1,5 +1,10 @@
 ## Example PPL Queries
 
+#### **AppendCol**
+[See additional command details](ppl-appendcol-command.md)
+- `source=employees | stats avg(age) as avg_age1 by dept | fields dept, avg_age1 | APPENDCOL  [ stats avg(age) as avg_age2 by dept | fields avg_age2 ];` (To display multiple table statistics side by side)
+- `source=employees | FIELDS name, dept, age | APPENDCOL OVERRIDE=true [ stats avg(age) as age ];` (When the override option is enabled, fields from the sub-query take precedence over fields in the main query in cases of field name conflicts)
+
 #### **Comment**
 [See additional command details](ppl-comment.md)
 - `source=accounts | top gender // finds most common gender of all the accounts` (line comment)

docs/ppl-lang/README.md

@@ -74,6 +74,8 @@ For additional examples see the next [documentation](PPL-Example-Commands.md).
 
     - [`expand commands`](ppl-expand-command.md)
 
+    - [`appendcol command`](ppl-appendcol-command.md)
+
 * **Functions**
 
     - [`Expressions`](functions/ppl-expressions.md)

docs/ppl-lang/ppl-appendcol-command.md

@@ -0,0 +1,120 @@
+## PPL `appendcol` command
+
+### Description
+Using `appendcol` command to append the result of a sub-search and attach it alongside with the input search results (The main search).
+
+### Syntax - APPENDCOL
+`APPENDCOL <override=?> [sub-search]...`
+
+* <override=?>: optional boolean field to specify should result from main-result be overwritten in the case of column name conflict.
+* sub-search: Executes PPL commands as a secondary search. The sub-search uses the same data specified in the source clause of the main search results as its input.
+
+
+#### Example 1: To append the result of `stats avg(age) as AVG_AGE` into existing search result   
+
+The example append the result of sub-search `stats avg(age) as AVG_AGE` alongside with the main-search.
+
+PPL query:
+
+    os> source=employees | FIELDS name, dept, age | APPENDCOL [ stats avg(age) as AVG_AGE ];
+    fetched rows / total rows = 9/9
+    +------+-------------+-----+------------------+  
+    | name | dept        | age | AVG_AGE          |  
+    +------+-------------+-----+------------------+  
+    | Lisa | Sales       |  35 | 31.2222222222222 |  
+    | Fred | Engineering |  28 | NULL             |  
+    | Paul | Engineering |  23 | NULL             |  
+    | Evan | Sales       |  38 | NULL             |   
+    | Chloe| Engineering |  25 | NULL             |   
+    | Tom  | Engineering |  33 | NULL             |   
+    | Alex | Sales       |  33 | NULL             |  
+    | Jane | Marketing   |  28 | NULL             |  
+    | Jeff | Marketing   |  38 | NULL             |  
+    +------+-------------+-----+------------------+  
+
+
+#### Example 2: To compare multiple stats commands with side by side with appendCol.
+
+This example demonstrates a common use case: performing multiple statistical calculations and displaying the results side by side in a horizontal layout.
+
+PPL query:
+
+    os> source=employees | stats avg(age) as avg_age1 by dept | fields dept, avg_age1 | APPENDCOL  [ stats avg(age) as avg_age2 by dept | fields avg_age2 ];
+    fetched rows / total rows = 3/3
+    +-------------+-----------+----------+
+    | dept        | avg_age1  | avg_age2 |
+    +-------------+-----------+----------+
+    | Engineering | 27.25     |  27.25   |
+    | Sales       | 35.33     |  35.33   |
+    | Marketing   | 33.00     |  33.00   |
+    +-------------+-----------+----------+
+
+
+#### Example 3: Append multiple sub-search result
+
+The example demonstrate multiple APPENCOL commands can be chained to provide one comprehensive view for user. 
+
+PPL query:
+
+    os> source=employees | FIELDS name, dept, age | APPENDCOL [ stats avg(age) as AVG_AGE ] | APPENDCOL [ stats max(age) as MAX_AGE ];
+    fetched rows / total rows = 9/9
+    +------+-------------+-----+------------------+---------+  
+    | name | dept        | age | AVG_AGE          | MAX_AGE |  
+    +------+-------------+-----+------------------+---------+  
+    | Lisa | Sales------ |  35 | 31.22222222222222|      38 |  
+    | Fred | Engineering |  28 | NULL             |    NULL |  
+    | Paul | Engineering |  23 | NULL             |    NULL |  
+    | Evan | Sales------ |  38 | NULL             |    NULL |  
+    | Chloe| Engineering |  25 | NULL             |    NULL |  
+    | Tom  | Engineering |  33 | NULL             |    NULL |  
+    | Alex | Sales       |  33 | NULL             |    NULL |  
+    | Jane | Marketing   |  28 | NULL             |    NULL |  
+    | Jeff | Marketing   |  38 | NULL             |    NULL |  
+    +------+-------------+-----+------------------+---------+  
+
+#### Example 4: Over main-search in the case of column name conflict
+
+The example demonstrate the usage of `OVERRIDE` option to overwrite the `age` column from the main-search, 
+when the option is set to true and column with same name `age` present on sub-search.
+
+PPL query:
+
+    os> source=employees | FIELDS name, dept, age | APPENDCOL OVERRIDE=true [ stats avg(age) as age ];
+    fetched rows / total rows = 9/9
+    +------+-------------+------------------+  
+    | name | dept        | age              |  
+    +------+-------------+------------------+  
+    | Lisa | Sales------ | 31.22222222222222|  
+    | Fred | Engineering | NULL             |  
+    | Paul | Engineering | NULL             |  
+    | Evan | Sales------ | NULL             |  
+    | Chloe| Engineering | NULL             |  
+    | Tom  | Engineering | NULL             |  
+    | Alex | Sales       | NULL             |  
+    | Jane | Marketing   | NULL             |  
+    | Jeff | Marketing   | NULL             |
+    +------+-------------+------------------+
+
+#### Example 5: AppendCol command with duplicated columns
+
+The example demonstrate what could happen when conflicted columns exist, with `override` set to false or absent.
+In this particular case, average aggregation is being performed over column `age` with group-by `dept`, on main and sub query respectively.
+As the result, `dept` and `avg_age1` will be returned by the main query, with `avg_age2` and `dept` for the sub-query,
+and take into consideration `override` is absent, duplicated columns won't be dropped, hence all four columns will be displayed as the final result.
+
+PPL query:
+
+    os> source=employees | stats avg(age) as avg_age1 by dept | APPENDCOL  [ stats avg(age) as avg_age2 by dept ];
+    fetched rows / total rows = 3/3
+    +------------+--------------+------------+--------------+
+    | Avg Age 1  | Dept         | Avg Age 2  | Dept         |
+    +------------+--------------+------------+--------------+
+    |   35.33    | Sales        |   35.33    | Sales        |
+    |   27.25    | Engineering  |   27.25    | Engineering  |
+    |   33.00    | Marketing    |   33.00    | Marketing    |
+    +------------+--------------+------------+--------------+
+
+
+### Limitation: 
+When override is set to true, only `FIELDS` and `STATS` commands are allowed as the final clause in a sub-search. 
+Otherwise, an IllegalStateException with the message `Not Supported operation: APPENDCOL should specify the output fields` will be thrown.