735 lines
16 KiB
Markdown
735 lines
16 KiB
Markdown
---
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layout: default
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title: Commands
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parent: Piped processing language
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nav_order: 4
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---
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# Commands
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Start a PPL query with a `search` command to reference a table to search from. You can have the commands that follow in any order.
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In the following example, the `search` command refers to an `accounts` index as the source, then uses `fields` and `where` commands for the conditions:
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```sql
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search source=accounts
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| where age > 18
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| fields firstname, lastname
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```
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In the below examples, we represent required arguments in angle brackets `< >` and optional arguments in square brackets `[ ]`.
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{: .note }
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## search
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Use the `search` command to retrieve a document from an index. You can only use the `search` command as the first command in the PPL query.
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### Syntax
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```sql
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search source=<index> [boolean-expression]
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```
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Field | Description | Required
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:--- | :--- |:---
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`search` | Specify search keywords. | Yes
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`index` | Specify which index to query from. | No
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`bool-expression` | Specify an expression that evaluates to a boolean value. | No
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*Example 1*: Get all documents
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To get all documents from the `accounts` index:
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```sql
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search source=accounts;
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```
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| account_number | firstname | address | balance | gender | city | employer | state | age | email | lastname |
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:--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :---
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| 1 | Amber | 880 Holmes Lane | 39225 | M | Brogan | Pyrami | IL | 32 | amberduke@pyrami.com | Duke
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| 6 | Hattie | 671 Bristol Street | 5686 | M | Dante | Netagy | TN | 36 | hattiebond@netagy.com | Bond
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| 13 | Nanette | 789 Madison Street | 32838 | F | Nogal | Quility | VA | 28 | null | Bates
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| 18 | Dale | 467 Hutchinson Court | 4180 | M | Orick | null | MD | 33 | daleadams@boink.com | Adams
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*Example 2*: Get documents that match a condition
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To get all documents from the `accounts` index that have either `account_number` equal to 1 or have `gender` as `F`:
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```sql
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search source=accounts account_number=1 or gender=\"F\";
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```
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| account_number | firstname | address | balance | gender | city | employer | state | age | email | lastname |
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:--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :---
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| 1 | Amber | 880 Holmes Lane | 39225 | M | Brogan | Pyrami | IL | 32 | amberduke@pyrami.com | Duke |
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| 13 | Nanette | 789 Madison Street | 32838 | F | Nogal | Quility | VA | 28 | null | Bates |
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## dedup
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The `dedup` (data deduplication) command removes duplicate documents defined by a field from the search result.
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### Syntax
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```sql
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dedup [int] <field-list> [keepempty=<bool>] [consecutive=<bool>]
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```
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Field | Description | Type | Required | Default
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:--- | :--- |:--- |:--- |:---
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`int` | Retain the specified number of duplicate events for each combination. The number must be greater than 0. If you do not specify a number, only the first occurring event is kept and all other duplicates are removed from the results. | `string` | No | 1
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`keepempty` | If true, keep the document if any field in the field list has a null value or a field missing. | `nested list of objects` | No | False
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`consecutive` | If true, remove only consecutive events with duplicate combinations of values. | `Boolean` | No | False
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`field-list` | Specify a comma-delimited field list. At least one field is required. | `String` or comma-separated list of strings | Yes | -
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*Example 1*: Dedup by one field
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To remove duplicate documents with the same gender:
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```sql
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search source=accounts | dedup gender | fields account_number, gender;
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```
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| account_number | gender
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:--- | :--- |
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1 | M
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13 | F
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*Example 2*: Keep two duplicate documents
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To keep two duplicate documents with the same gender:
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```sql
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search source=accounts | dedup 2 gender | fields account_number, gender;
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```
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| account_number | gender
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:--- | :--- |
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1 | M
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6 | M
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13 | F
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*Example 3*: Keep or ignore an empty field by default
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To keep two duplicate documents with a `null` field value:
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```sql
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search source=accounts | dedup email keepempty=true | fields account_number, email;
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```
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| account_number | email
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:--- | :--- |
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1 | amberduke@pyrami.com
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6 | hattiebond@netagy.com
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13 | null
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18 | daleadams@boink.com
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To remove duplicate documents with the `null` field value:
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```sql
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search source=accounts | dedup email | fields account_number, email;
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```
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| account_number | email
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:--- | :--- |
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1 | amberduke@pyrami.com
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6 | hattiebond@netagy.com
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18 | daleadams@boink.com
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*Example 4*: Dedup of consecutive documents
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To remove duplicates of consecutive documents:
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```sql
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search source=accounts | dedup gender consecutive=true | fields account_number, gender;
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```
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| account_number | gender
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:--- | :--- |
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1 | M
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13 | F
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18 | M
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## eval
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The `eval` command evaluates an expression and appends its result to the search result.
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### Syntax
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```sql
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eval <field>=<expression> ["," <field>=<expression> ]...
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```
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Field | Description | Required
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:--- | :--- |:---
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`field` | If a field name does not exist, a new field is added. If the field name already exists, it's overwritten. | Yes
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`expression` | Specify any supported expression. | Yes
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*Example 1*: Create a new field
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To create a new `doubleAge` field for each document. `doubleAge` is the result of `age` multiplied by 2:
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```sql
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search source=accounts | eval doubleAge = age * 2 | fields age, doubleAge;
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```
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| age | doubleAge
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:--- | :--- |
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32 | 64
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36 | 72
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28 | 56
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33 | 66
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*Example 2*: Overwrite the existing field
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To overwrite the `age` field with `age` plus 1:
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```sql
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search source=accounts | eval age = age + 1 | fields age;
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```
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| age
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:--- |
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| 33
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| 37
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| 29
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| 34
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*Example 3*: Create a new field with a field defined with the `eval` command
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To create a new field `ddAge`. `ddAge` is the result of `doubleAge` multiplied by 2, where `doubleAge` is defined in the `eval` command:
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```sql
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search source=accounts | eval doubleAge = age * 2, ddAge = doubleAge * 2 | fields age, doubleAge, ddAge;
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```
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| age | doubleAge | ddAge
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:--- | :--- |
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| 32 | 64 | 128
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| 36 | 72 | 144
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| 28 | 56 | 112
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| 33 | 66 | 132
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## fields
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Use the `fields` command to keep or remove fields from a search result.
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### Syntax
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```sql
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fields [+|-] <field-list>
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```
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Field | Description | Required | Default
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:--- | :--- |:---|:---
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`index` | Plus (+) keeps only fields specified in the field list. Minus (-) removes all fields specified in the field list. | No | +
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`field list` | Specify a comma-delimited list of fields. | Yes | No default
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*Example 1*: Select specified fields from result
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To get `account_number`, `firstname`, and `lastname` fields from a search result:
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```sql
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search source=accounts | fields account_number, firstname, lastname;
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```
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| account_number | firstname | lastname
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:--- | :--- |
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| 1 | Amber | Duke
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| 6 | Hattie | Bond
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| 13 | Nanette | Bates
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| 18 | Dale | Adams
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*Example 2*: Remove specified fields from a search result
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To remove the `account_number` field from the search results:
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```sql
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search source=accounts | fields account_number, firstname, lastname | fields - account_number;
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```
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| firstname | lastname
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:--- | :--- |
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| Amber | Duke
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| Hattie | Bond
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| Nanette | Bates
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| Dale | Adams
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## rename
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Use the `rename` command to rename one or more fields in the search result.
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### Syntax
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```sql
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rename <source-field> AS <target-field>["," <source-field> AS <target-field>]...
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```
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Field | Description | Required
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:--- | :--- |:---
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`source-field` | The name of the field that you want to rename. | Yes
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`target-field` | The name you want to rename to. | Yes
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*Example 1*: Rename one field
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Rename the `account_number` field as `an`:
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```sql
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search source=accounts | rename account_number as an | fields an;
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```
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| an
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:--- |
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| 1
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| 13
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*Example 2*: Rename multiple fields
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Rename the `account_number` field as `an` and `employer` as `emp`:
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```sql
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search source=accounts | rename account_number as an, employer as emp | fields an, emp;
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```
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| an | emp
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:--- | :--- |
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| 1 | Pyrami
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| 6 | Netagy
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| 13 | Quility
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| 18 | null
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## sort
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Use the `sort` command to sort search results by a specified field.
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### Syntax
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```sql
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sort [count] <[+|-] sort-field>...
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```
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Field | Description | Required | Default
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:--- | :--- |:---
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`count` | The maximum number results to return from the sorted result. If count=0, all results are returned. | No | 1000
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`[+|-]` | Use plus [+] to sort by ascending order and minus [-] to sort by descending order. | No | Ascending order
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`sort-field` | Specify the field that you want to sort by. | Yes | -
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*Example 1*: Sort by one field
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To sort all documents by the `age` field in ascending order:
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```sql
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search source=accounts | sort age | fields account_number, age;
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```
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| account_number | age |
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:--- | :--- |
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| 13 | 28
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| 1 | 32
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| 18 | 33
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| 6 | 36
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*Example 2*: Sort by one field and return all results
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To sort all documents by the `age` field in ascending order and specify count as 0 to get back all results:
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```sql
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search source=accounts | sort 0 age | fields account_number, age;
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```
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| account_number | age |
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:--- | :--- |
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| 13 | 28
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| 1 | 32
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| 18 | 33
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| 6 | 36
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*Example 3*: Sort by one field in descending order
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To sort all documents by the `age` field in descending order:
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```sql
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search source=accounts | sort - age | fields account_number, age;
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```
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| account_number | age |
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:--- | :--- |
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| 6 | 36
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| 18 | 33
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| 1 | 32
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| 13 | 28
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*Example 4*: Specify the number of sorted documents to return
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To sort all documents by the `age` field in ascending order and specify count as 2 to get back two results:
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```sql
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search source=accounts | sort 2 age | fields account_number, age;
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```
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| account_number | age |
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:--- | :--- |
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| 13 | 28
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| 1 | 32
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*Example 5*: Sort by multiple fields
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To sort all documents by the `gender` field in ascending order and `age` field in descending order:
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```sql
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search source=accounts | sort + gender, - age | fields account_number, gender, age;
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```
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| account_number | gender | age |
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:--- | :--- | :--- |
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| 13 | F | 28
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| 6 | M | 36
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| 18 | M | 33
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| 1 | M | 32
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## stats
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Use the `stats` command to aggregate from search results.
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The following table lists the aggregation functions and also indicates how each one handles null or missing values:
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Function | NULL | MISSING
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:--- | :--- |:---
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`COUNT` | Not counted | Not counted
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`SUM` | Ignore | Ignore
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`AVG` | Ignore | Ignore
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`MAX` | Ignore | Ignore
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`MIN` | Ignore | Ignore
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### Syntax
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```
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stats <aggregation>... [by-clause]...
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```
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Field | Description | Required | Default
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:--- | :--- |:---
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`aggregation` | Specify a statistical aggregation function. The argument of this function must be a field. | Yes | 1000
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`by-clause` | Specify one or more fields to group the results by. If not specified, the `stats` command returns only one row, which is the aggregation over the entire result set. | No | -
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*Example 1*: Calculate the average value of a field
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To calculate the average `age` of all documents:
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```sql
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search source=accounts | stats avg(age);
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```
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| avg(age)
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:--- |
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| 32.25
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*Example 2*: Calculate the average value of a field by group
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To calculate the average age grouped by gender:
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```sql
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search source=accounts | stats avg(age) by gender;
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```
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| gender | avg(age)
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:--- | :--- |
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| F | 28.0
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| M | 33.666666666666664
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*Example 3*: Calculate the average and sum of a field by group
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To calculate the average and sum of age grouped by gender:
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```sql
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search source=accounts | stats avg(age), sum(age) by gender;
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```
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| gender | avg(age) | sum(age)
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:--- | :--- |
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| F | 28 | 28
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| M | 33.666666666666664 | 101
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*Example 4*: Calculate the maximum value of a field
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To calculate the maximum age:
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```sql
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search source=accounts | stats max(age);
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```
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| max(age)
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:--- |
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| 36
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*Example 5*: Calculate the maximum and minimum value of a field by group
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To calculate the maximum and minimum age values grouped by gender:
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```sql
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search source=accounts | stats max(age), min(age) by gender;
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```
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| gender | min(age) | max(age)
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:--- | :--- | :--- |
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| F | 28 | 28
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| M | 32 | 36
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## where
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Use the `where` command with a bool expression to filter the search result. The `where` command only returns the result when the bool expression evaluates to true.
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### Syntax
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```sql
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where <boolean-expression>
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```
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Field | Description | Required
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:--- | :--- |:---
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`bool-expression` | An expression that evaluates to a boolean value. | No
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*Example 1*: Filter result set with a condition
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To get all documents from the `accounts` index where `account_number` is 1 or gender is `F`:
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```sql
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search source=accounts | where account_number=1 or gender=\"F\" | fields account_number, gender;
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```
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| account_number | gender
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:--- | :--- |
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| 1 | M
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| 13 | F
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## head
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Use the `head` command to return the first N number of results in a specified search order.
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### Syntax
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```sql
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head [N]
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```
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Field | Description | Required | Default
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:--- | :--- |:---
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`N` | Specify the number of results to return. | No | 10
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*Example 1*: Get the first 10 results
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To get the first 10 results:
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```sql
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search source=accounts | fields firstname, age | head;
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```
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| firstname | age
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:--- | :--- |
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| Amber | 32
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| Hattie | 36
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| Nanette | 28
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*Example 2*: Get the first N results
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To get the first two results:
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```sql
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search source=accounts | fields firstname, age | head 2;
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```
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| firstname | age
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:--- | :--- |
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| Amber | 32
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| Hattie | 36
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## rare
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Use the `rare` command to find the least common values of all fields in a field list.
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A maximum of 10 results are returned for each distinct set of values of the group-by fields.
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### Syntax
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```sql
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rare <field-list> [by-clause]
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```
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Field | Description | Required
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:--- | :--- |:---
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`field-list` | Specify a comma-delimited list of field names. | No
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`by-clause` | Specify one or more fields to group the results by. | No
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*Example 1*: Find the least common values in a field
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To find the least common values of gender:
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```sql
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search source=accounts | rare gender;
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```
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| gender
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:--- |
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| F
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| M
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*Example 2*: Find the least common values grouped by gender
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To find the least common age grouped by gender:
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```sql
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search source=accounts | rare age by gender;
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```
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| gender | age
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:--- | :--- |
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| F | 28
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| M | 32
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| M | 33
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## top {#top-command}
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Use the `top` command to find the most common values of all fields in the field list.
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### Syntax
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```sql
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top [N] <field-list> [by-clause]
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```
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Field | Description | Default
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:--- | :--- |:---
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`N` | Specify the number of results to return. | 10
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`field-list` | Specify a comma-delimited list of field names. | -
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`by-clause` | Specify one or more fields to group the results by. | -
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*Example 1*: Find the most common values in a field
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To find the most common genders:
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```sql
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search source=accounts | top gender;
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```
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| gender
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:--- |
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| M
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| F
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*Example 2*: Find the most common value in a field
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To find the most common gender:
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```sql
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search source=accounts | top 1 gender;
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```
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| gender
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:--- |
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| M
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*Example 2*: Find the most common values grouped by gender
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To find the most common age grouped by gender:
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```sql
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search source=accounts | top 1 age by gender;
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```
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| gender | age
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:--- | :--- |
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| F | 28
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| M | 32
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## match
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Use the `match` command to search documents that match a `string`, `number`, `date`, or `boolean` value for a given field.
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### Syntax
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```sql
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match(field_expression, query_expression[, option=<option_value>]*)
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```
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You can specify the following options:
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- `analyzer`
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- `auto_generate_synonyms_phrase`
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- `fuzziness`
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- `max_expansions`
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- `prefix_length`
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- `fuzzy_transpositions`
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- `fuzzy_rewrite`
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- `lenient`
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- `operator`
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- `minimum_should_match`
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- `zero_terms_query`
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- `boost`
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*Example 1*: Search the `message` field:
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```json
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GET my_index/_search
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{
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"query": {
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"match": {
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"message": "this is a test"
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}
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}
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}
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```
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PPL query:
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```sql
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search source=my_index | match field=message query="this is a test"
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```
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*Example 2*: Search the `message` field with the `operator` parameter:
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```json
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GET my_index/_search
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{
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"query": {
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"match": {
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"message": {
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"query": "this is a test",
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"operator": "and"
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}
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}
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}
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}
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```
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PPL query:
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```sql
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search source=my_index | match field=message query="this is a test" operator=and
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```
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*Example 3*: Search the `message` field with the `operator` and `zero_terms_query` parameters:
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```json
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GET my_index/_search
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{
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"query": {
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"match": {
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"message": {
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"query": "to be or not to be",
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"operator": "and",
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"zero_terms_query": "all"
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}
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}
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}
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}
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```
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PPL query:
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```ppl
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search source=my_index | where match(message, "this is a test", operator=and, zero_terms_query=all)
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```
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