EQL syntax reference

EQL queries require an event category and a matching condition. The where keyword connects them.

event_category where condition
		

An event category is an indexed value of the event category field. By default, the EQL search API uses the event.category field from the [Elastic Common Schema (ECS)]Elastic Common Schema (ECS)). You can specify another event category field using the API’s event_category_field parameter.

For example, the following EQL query matches events with an event category of process and a process.name of svchost.exe:

process where process.name == "svchost.exe"
		

To match events of any category, use the any keyword. You can also use the any keyword to search for documents without a event category field.

For example, the following EQL query matches any documents with a network.protocol field value of http:

any where network.protocol == "http"
		

Use enclosing double quotes (") or three enclosing double quotes (""") to escape event categories that:

• Contain a special character, such as a hyphen (-) or dot (.)
• Contain a space
• Start with a numeral

".my.event.category"
"my-event-category"
"my event category"
"6eventcategory"

""".my.event.category"""
"""my-event-category"""
"""my event category"""
"""6eventcategory"""
		

Use enclosing backticks (`) to escape field names that:

• Contain a hyphen (-)
• Contain a space
• Start with a numeral

`my-field`
`my field`
`6myfield`
		

Use double backticks (``) to escape any backticks (`) in the field name.

my`field -> `my``field`
		

A condition consists of one or more criteria an event must match. You can specify and combine these criteria using the following operators. Most EQL operators are case-sensitive by default.

<   <=   ==   :   !=   >=   >
		

< (less than)

Returns true if the value to the left of the operator is less than the value to the right. Otherwise returns false.

<= (less than or equal)

Returns true if the value to the left of the operator is less than or equal to the value to the right. Otherwise returns false.

== (equal, case-sensitive)

Returns true if the values to the left and right of the operator are equal. Otherwise returns false. Wildcards are not supported.

: (equal, case-insensitive)

Returns true if strings to the left and right of the operator are equal. Otherwise returns false. Can only be used to compare strings. Supports wildcards and list lookups.

!= (not equal, case-sensitive)

Returns true if the values to the left and right of the operator are not equal. Otherwise returns false. Wildcards are not supported.

>= (greater than or equal)

Returns true if the value to the left of the operator is greater than or equal to the value to the right. Otherwise returns false. When comparing strings, the operator uses a case-sensitive lexicographic order.

> (greater than)

Returns true if the value to the left of the operator is greater than the value to the right. Otherwise returns false. When comparing strings, the operator uses a case-sensitive lexicographic order.

my_field like  "VALUE*"
my_field like~ "value*"

my_field regex  "VALUE[^Z].?"
my_field regex~ "value[^z].?"
		

1. case-sensitive wildcard matching
2. case-insensitive wildcard matching
3. case-sensitive regex matching
4. case-insensitive regex matching

like (case-sensitive)

Returns true if the string to the left of the keyword matches a wildcard pattern to the right. Supports list lookups. Can only be used to compare strings. For case-insensitive matching, use like~.

regex (case-sensitive)

Returns true if the string to the left of the keyword matches a regular expression to the right. For supported regular expression syntax, see Regular expression syntax. Supports list lookups. Can only be used to compare strings. For case-insensitive matching, use regex~.

You cannot chain comparisons. Instead, use a logical operator between comparisons. For example, foo < bar <= baz is not supported. However, you can rewrite the expression as foo < bar and bar <= baz, which is supported.

You also cannot compare a field to another field, even if the fields are changed using a function.

Example
The following EQL query compares the process.parent_name field value to a static value, foo. This comparison is supported.

However, the query also compares the process.parent.name field value to the process.name field. This comparison is not supported and will return an error for the entire query.

process where process.parent.name == "foo" and process.parent.name == process.name
		

Instead, you can rewrite the query to compare both the process.parent.name and process.name fields to static values.

process where process.parent.name == "foo" and process.name == "foo"
		

and  or  not
		

and

Returns true only if the condition to the left and right both return true. Otherwise returns false.

or

Returns true if one of the conditions to the left or right true. Otherwise returns false.

not

Returns true if the condition to the right is false.

my_field in ("Value-1", "VALUE2", "VAL3")
my_field in~ ("value-1", "value2", "val3")

my_field not in ("Value-1", "VALUE2", "VAL3")
my_field not in~ ("value-1", "value2", "val3")

my_field : ("value-1", "value2", "val3")

my_field like  ("Value-*", "VALUE2", "VAL?")
my_field like~ ("value-*", "value2", "val?")

my_field regex  ("[vV]alue-[0-9]", "VALUE[^2].?", "VAL3")
my_field regex~  ("value-[0-9]", "value[^2].?", "val3")
		

1. case-sensitive
2. case-insensitive
3. case-sensitive
4. case-insensitive
5. case-insensitive
6. case-sensitive
7. case-insensitive
8. case-sensitive
9. case-insensitive

in (case-sensitive)

Returns true if the value is contained in the provided list. For case-insensitive matching, use in~.

not in (case-sensitive)

Returns true if the value is not contained in the provided list. For case-insensitive matching, use not in~.

: (case-insensitive)

Returns true if the string is contained in the provided list. Can only be used to compare strings.

like (case-sensitive)

Returns true if the string matches a wildcard pattern in the provided list. Can only be used to compare strings. For case-insensitive matching, use like~.

regex (case-sensitive)

Returns true if the string matches a regular expression pattern in the provided list. For supported regular expression syntax, see Regular expression syntax. Can only be used to compare strings. For case-insensitive matching, use regex~.

+  -  *  /  %
		

+ (add)

Adds the values to the left and right of the operator.

- (subtract)

Subtracts the value to the right of the operator from the value to the left.

* (multiply)

Multiplies the values to the left and right of the operator.

/ (divide)

Divides the value to the left of the operator by the value to the right.

Warning

If both the dividend and divisor are integers, the divide (\) operation rounds down any returned floating point numbers to the nearest integer. To avoid rounding, convert either the dividend or divisor to a float.

Example
The process.args_count field is a long integer field containing a count of process arguments.

A user might expect the following EQL query to only match events with a process.args_count value of 4.

process where ( 4 / process.args_count ) == 1
		

However, the EQL query matches events with a process.args_count value of 3 or 4.

For events with a process.args_count value of 3, the divide operation returns a float of 1.333..., which is rounded down to 1.

To match only events with a process.args_count value of 4, convert either the dividend or divisor to a float.

The following EQL query changes the integer 4 to the equivalent float 4.0.

process where ( 4.0 / process.args_count ) == 1
		

% (modulo)

Divides the value to the left of the operator by the value to the right. Returns only the remainder.

To match events solely on event category, use the where true condition.

For example, the following EQL query matches any file events:

file where true
		

To match any event, you can combine the any keyword with the where true condition:

any where true
		

By default, an EQL query can only contain fields that exist in the dataset you’re searching. A field exists in a dataset if it has an explicit, dynamic, or runtime mapping. If an EQL query contains a field that doesn’t exist, it returns an error.

If you aren’t sure if a field exists in a dataset, use the ? operator to mark the field as optional. If an optional field doesn’t exist, the query replaces it with null instead of returning an error.

Example
In the following query, the user.id field is optional.

network where ?user.id != null
		

If the user.id field exists in the dataset you’re searching, the query matches any network event that contains a user.id value. If the user.id field doesn’t exist in the dataset, EQL interprets the query as:

network where null != null
		

In this case, the query matches no events.

To match events containing any value for a field, compare the field to null using the != operator:

?my_field != null
		

To match events that do not contain a field value, compare the field to null using the == operator:

?my_field == null
		

Strings are enclosed in double quotes (").

"hello world"
		

Strings enclosed in single quotes (') are not supported.

When used within a string, special characters, such as a carriage return or double quote ("), must be escaped with a preceding backslash (\).

"example \r of \" escaped \n characters"
		

You can escape Unicode characters using a hexadecimal \u{{XXXXXXXX}} escape sequence. The hexadecimal value can be 2-8 characters and is case-insensitive. Values shorter than 8 characters are zero-padded. You can use these escape sequences to include non-printable or right-to-left (RTL) characters in your strings. For example, you can escape a right-to-left mark (RLM) as \u{{200f}}, \u{{200F}}, or \u{{0000200f}}.

Raw strings treat special characters, such as backslashes (\), as literal characters. Raw strings are enclosed in three double quotes (""").

"""Raw string with a literal double quote " and blackslash \ included"""
		

A raw string cannot contain three consecutive double quotes ("""). Instead, use a regular string with the \" escape sequence.

"String containing \"\"\" three double quotes"
		

For string comparisons using the : operator or like keyword, you can use the * and ? wildcards to match specific patterns. The * wildcard matches zero or more characters:

my_field : "doc*"     // Matches "doc", "docs", or "document" but not "DOS"
my_field : "*doc"     // Matches "adoc" or "asciidoc"
my_field : "d*c"      // Matches "doc" or "disc"

my_field like "DOC*"  // Matches "DOC", "DOCS", "DOCs", or "DOCUMENT" but not "DOS"
my_field like "D*C"   // Matches "DOC", "DISC", or "DisC"
		

The ? wildcard matches exactly one character:

my_field : "doc?"     // Matches "docs" but not "doc", "document", or "DOS"
my_field : "?doc"     // Matches "adoc" but not "asciidoc"
my_field : "d?c"      // Matches "doc" but not "disc"

my_field like "DOC?"  // Matches "DOCS" or "DOCs" but not "DOC", "DOCUMENT", or "DOS"
my_field like "D?c"   // Matches "DOC" but not "DISC"
		

The : operator and like keyword also support wildcards in list lookups:

my_field : ("doc*", "f*o", "ba?", "qux")
my_field like ("Doc*", "F*O", "BA?", "QUX")
		

You can use EQL sequences to describe and match an ordered series of events. Each item in a sequence is an event category and event condition, surrounded by square brackets ([ ]). Events are listed in ascending chronological order, with the most recent event listed last.

sequence
  [ event_category_1 where condition_1 ]
  [ event_category_2 where condition_2 ]
  ...
		

Example
The following EQL sequence query matches this series of ordered events:

1. Start with an event with:

   • An event category of file
   • A file.extension of exe

2. Followed by an event with an event category of process

sequence
  [ file where file.extension == "exe" ]
  [ process where true ]
		

You can use with maxspan to constrain a sequence to a specified timespan. All events in a matching sequence must occur within this duration, starting at the first event’s timestamp.

maxspan accepts time value arguments.

sequence with maxspan=30s
  [ event_category_1 where condition_1 ] by field_baz
  [ event_category_2 where condition_2 ] by field_bar
  ...
		

Example
The following sequence query uses a maxspan value of 15m (15 minutes). Events in a matching sequence must occur within 15 minutes of the first event’s timestamp.

sequence with maxspan=15m
  [ file where file.extension == "exe" ]
  [ process where true ]
		

Use ! to match missing events: events in a timespan-constrained sequence that do not meet a given condition.

sequence with maxspan=1h
  [ event_category_1 where condition_1 ]
  ![ event_category_2 where condition_2 ]
  [ event_category_3 where condition_3 ]
  ...
		

Missing event clauses can be used at the beginning, at the end, and/or in the middle of a sequence, in any combination with positive event clauses. A sequence can have multiple missing event clauses, but needs to have at least one positive clause. with maxspan is mandatory when missing event clauses are present.

Example
The following sequence query finds logon events that are not followed within 5 seconds by a logoff event.

sequence by host.name, user.name with maxspan=5s
  [ authentication where event.code : "4624" ]
  ![ authentication where event.code : "4647" ]
		

Use the by keyword in a sequence query to only match events that share the same values, even if those values are in different fields. These shared values are called join keys. If a join key should be in the same field across all events, use sequence by.

sequence by field_foo
  [ event_category_1 where condition_1 ] by field_baz
  [ event_category_2 where condition_2 ] by field_bar
  ...
		

Example
The following sequence query uses the by keyword to constrain matching events to:

• Events with the same user.name value
• file events with a file.path value equal to the following process event’s process.executable value.

sequence
  [ file where file.extension == "exe" ] by user.name, file.path
  [ process where true ] by user.name, process.executable
		

Because the user.name field is shared across all events in the sequence, it can be included using sequence by. The following sequence is equivalent to the prior one.

sequence by user.name
  [ file where file.extension == "exe" ] by file.path
  [ process where true ] by process.executable
		

You can combine sequence by and with maxspan to constrain a sequence by both field values and a timespan.

sequence by field_foo with maxspan=30s
  [ event_category_1 where condition_1 ]
  [ event_category_2 where condition_2 ]
  ...
		

Example
The following sequence query uses sequence by and with maxspan to only match a sequence of events that:

• Share the same user.name field values
• Occur within 15m (15 minutes) of the first matching event

sequence by user.name with maxspan=15m
  [ file where file.extension == "exe" ]
  [ process where true ]
		

By default, a join key must be a non-null field value. To allow null join keys, use the ? operator to mark the by field as optional. This is also helpful if you aren’t sure the dataset you’re searching contains the by field.

Example
The following sequence query uses sequence by to constrain matching events to:

• Events with the same process.pid value, excluding null values. If the process.pid field doesn’t exist in the dataset you’re searching, the query returns an error.
• Events with the same process.entity_id value, including null values. If an event doesn’t contain the process.entity_id field, its process.entity_id value is considered null. This applies even if the process.pid field doesn’t exist in the dataset you’re searching.

sequence by process.pid, ?process.entity_id
  [process where process.name == "regsvr32.exe"]
  [network where true]
		

You can use the until keyword to specify an expiration event for a sequence. If this expiration event occurs between matching events in a sequence, the sequence expires and is not considered a match. If the expiration event occurs after matching events in a sequence, the sequence is still considered a match. The expiration event is not included in the results.

sequence
  [ event_category_1 where condition_1 ]
  [ event_category_2 where condition_2 ]
  ...
until [ event_category_3 where condition_3 ]
		

Example
A dataset contains the following event sequences, grouped by shared IDs:

A, B
A, B, C
A, C, B
		

The following EQL query searches the dataset for sequences containing event A followed by event B. Event C is used as an expiration event.

sequence by ID
  A
  B
until C
		

The query matches sequences A, B and A, B, C but not A, C, B.

sequence by process.pid
  [ process where event.type == "start" and process.name == "cmd.exe" ]
  [ process where file.extension == "exe" ]
		

sequence by process.pid
  [ process where event.type == "start" and process.name == "cmd.exe" ]
  [ process where file.extension == "exe" ]
until [ process where event.type == "stop" ]
		

Use a with runs statement to run the same event criteria successively within a sequence query. For example:

sequence
  [ process where event.type == "creation" ]
  [ library where process.name == "regsvr32.exe" ] with runs=3
  [ registry where true ]
		

is equivalent to:

sequence
  [ process where event.type == "creation" ]
  [ library where process.name == "regsvr32.exe" ]
  [ library where process.name == "regsvr32.exe" ]
  [ library where process.name == "regsvr32.exe" ]
  [ registry where true ]
		

The runs value must be between 1 and 100 (inclusive).

You can use a with runs statement with the by keyword. For example:

sequence
  [ process where event.type == "creation" ] by process.executable
  [ library where process.name == "regsvr32.exe" ] by dll.path with runs=3
		

You can use EQL samples to describe and match a chronologically unordered series of events. All events in a sample share the same value for one or more fields that are specified using the by keyword (join keys). Each item in a sample is an event category and event condition, surrounded by square brackets ([ ]). Events are listed in the order of the filters they match.

sample by join_key
  [ event_category_1 where condition_1 ]
  [ event_category_2 where condition_2 ]
  ...
		

Example
The following EQL sample query returns up to 10 samples with unique values for host. Each sample consists of two events:

1. Start with an event with:

   • An event category of file
   • A file.extension of exe

2. Followed by an event with an event category of process

sample by host
  [ file where file.extension == "exe" ]
  [ process where true ]
		

Sample queries do not take into account the chronological ordering of events. The with maxspan and with runs statements as well as the until keyword are not supported.

You can use EQL functions to convert data types, perform math, manipulate strings, and more. For a list of supported functions, see Function reference.

Most EQL functions are case-sensitive by default. To make a function case-insensitive, use the ~ operator after the function name:

stringContains(process.name,".exe")  // Matches ".exe" but not ".EXE" or ".Exe"
stringContains~(process.name,".exe") // Matches ".exe", ".EXE", or ".Exe"
		

Using functions in EQL queries can result in slower search speeds. If you often use functions to transform indexed data, you can speed up search by making these changes during indexing instead. However, that often means slower index speeds.

Example
An index contains the file.path field. file.path contains the full path to a file, including the file extension.

When running EQL searches, users often use the endsWith function with the file.path field to match file extensions:

file where endsWith(file.path,".exe") or endsWith(file.path,".dll")
		

While this works, it can be repetitive to write and can slow search speeds. To speed up search, you can do the following instead:

1. Add a new field, file.extension, to the index. The file.extension field will contain only the file extension from the file.path field.
2. Use an ingest pipeline containing the grok processor or another preprocessor tool to extract the file extension from the file.path field before indexing.
3. Index the extracted file extension to the file.extension field.

These changes may slow indexing but allow for faster searches. Users can use the file.extension field instead of multiple endsWith function calls:

file where file.extension in ("exe", "dll")
		

We recommend testing and benchmarking any indexing changes before deploying them in production. See Tune for indexing speed and Tune for search speed.

EQL pipes filter, aggregate, and post-process events returned by an EQL query. You can use pipes to narrow down EQL query results or make them more specific.

Pipes are delimited using the pipe (|) character.

event_category where condition | pipe
		

Example
The following EQL query uses the tail pipe to return only the 10 most recent events matching the query.

authentication where agent.id == 4624
| tail 10
		

You can pass the output of a pipe to another pipe. This lets you use multiple pipes with a single query.

For a list of supported pipes, see Pipe reference.

EQL has the following limitations.

EQL retrieves field values using the search API’s fields parameter. Any limitations on the fields parameter also apply to EQL queries. For example, if _source is disabled for any returned fields or at index level, the values cannot be retrieved.

You cannot use EQL comparison operators to compare a field to another field. This applies even if the fields are changed using a function.

EQL searches do not support text fields. To a search a text field, use the EQL search API’s Query DSL filter parameter.

You cannot use EQL to search the values of a nested field or the sub-fields of a nested field. However, data streams and indices containing nested field mappings are otherwise supported.

Elasticsearch EQL differs from the Elastic Endgame EQL syntax as follows:

• In Elasticsearch EQL, most operators are case-sensitive. For example, process_name == "cmd.exe" is not equivalent to process_name == "Cmd.exe".

• In Elasticsearch EQL, functions are case-sensitive. To make a function case-insensitive, use ~, such as endsWith~(process_name, ".exe").

• For case-insensitive equality comparisons, use the : operator. Both * and ? are recognized wildcard characters.

• The == and != operators do not expand wildcard characters. For example, process_name == "cmd*.exe" interprets * as a literal asterisk, not a wildcard.

• For wildcard matching, use the like keyword when case-sensitive and like~ when case-insensitive. The : operator is equivalent to like~.

• For regular expression matching, use regex or regex~.

• = cannot be substituted for the == operator.

• Strings enclosed in single quotes (') are not supported. Enclose strings in double quotes (") instead.

• ?" and ?' do not indicate raw strings. Enclose raw strings in three double quotes (""") instead.

• Elasticsearch EQL does not support:

  • Array functions:

    • arrayContains
    • arrayCount
    • arraySearch

  • The match function

  • Joins

  • Lineage-related keywords:

    • child of
    • descendant of
    • event of

  • The following pipes:

    • count
    • filter
    • sort
    • unique
    • unique_count

Sequence queries don’t find all potential matches for a sequence. This approach would be too slow and costly for large event data sets. Instead, a sequence query handles pending sequence matches as a state machine:

• Each event item in the sequence query is a state in the machine.
• Only one pending sequence can be in each state at a time.
• If two pending sequences are in the same state at the same time, the most recent sequence overwrites the older one.
• If the query includes by fields, the query uses a separate state machine for each unique by field value.

Example

A data set contains the following process events in ascending chronological order:

{ "index" : { "_id": "1" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
{ "index" : { "_id": "2" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
{ "index" : { "_id": "3" } }
{ "user": { "name": "elkbee" }, "process": { "name": "bash" }, ...}
{ "index" : { "_id": "4" } }
{ "user": { "name": "root" }, "process": { "name": "bash" }, ...}
{ "index" : { "_id": "5" } }
{ "user": { "name": "root" }, "process": { "name": "bash" }, ...}
{ "index" : { "_id": "6" } }
{ "user": { "name": "elkbee" }, "process": { "name": "attrib" }, ...}
{ "index" : { "_id": "7" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
{ "index" : { "_id": "8" } }
{ "user": { "name": "elkbee" }, "process": { "name": "bash" }, ...}
{ "index" : { "_id": "9" } }
{ "user": { "name": "root" }, "process": { "name": "cat" }, ...}
{ "index" : { "_id": "10" } }
{ "user": { "name": "elkbee" }, "process": { "name": "cat" }, ...}
{ "index" : { "_id": "11" } }
{ "user": { "name": "root" }, "process": { "name": "cat" }, ...}
		

An EQL sequence query searches the data set:

sequence by user.name
  [process where process.name == "attrib"]
  [process where process.name == "bash"]
  [process where process.name == "cat"]
		

The query’s event items correspond to the following states:

• State A: [process where process.name == "attrib"]
• State B: [process where process.name == "bash"]
• Complete: [process where process.name == "cat"]

×

To find matching sequences, the query uses separate state machines for each unique user.name value. Based on the data set, you can expect two state machines: one for the root user and one for elkbee.

×

Pending sequence matches move through each machine’s states as follows:

{ "index" : { "_id": "1" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
// Creates sequence [1] in state A for the "root" user.
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |    [1]    |     |           |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "2" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
// Creates sequence [2] in state A for "root", overwriting sequence [1].
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |    [2]    |     |           |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "3" } }
{ "user": { "name": "elkbee" }, "process": { "name": "bash" }, ...}
// Nothing happens. The "elkbee" user has no pending sequence to move
// from state A to state B.
//
// +-----------------------"elkbee"-----------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |           |     |           |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "4" } }
{ "user": { "name": "root" }, "process": { "name": "bash" }, ...}
// Sequence [2] moves out of state A for "root".
// State B for "root" now contains [2, 4].
// State A for "root" is empty.
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+ --> +-----------+     +------------+  |
// |  |           |     |   [2, 4]  |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "5" } }
{ "user": { "name": "root" }, "process": { "name": "bash" }, ...}
// Nothing happens. State A is empty for "root".
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |           |     |   [2, 4]  |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "6" } }
{ "user": { "name": "elkbee" }, "process": { "name": "attrib" }, ...}
// Creates sequence [6] in state A for "elkbee".
//
// +-----------------------"elkbee"-----------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |    [6]    |     |           |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "7" } }
{ "user": { "name": "root" }, "process": { "name": "attrib" }, ...}
// Creates sequence [7] in state A for "root".
// Sequence [2, 4] remains in state B for "root".
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |    [7]    |     |   [2, 4]  |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "8" } }
{ "user": { "name": "elkbee" }, "process": { "name": "bash" }, ...}
// Sequence [6, 8] moves to state B for "elkbee".
// State A for "elkbee" is now empty.
//
// +-----------------------"elkbee"-----------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+ --> +-----------+     +------------+  |
// |  |           |     |   [6, 8]  |     |            |  |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "9" } }
{ "user": { "name": "root" }, "process": { "name": "cat" }, ...}
// Sequence [2, 4, 9] is complete for "root".
// State B for "root" is now empty.
// Sequence [7] remains in state A.
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+ --> +------------+  |
// |  |    [7]    |     |           |     |  [2, 4, 9] |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "10" } }
{ "user": { "name": "elkbee" }, "process": { "name": "cat" }, ...}
// Sequence [6, 8, 10] is complete for "elkbee".
// State A and B for "elkbee" are now empty.
//
// +-----------------------"elkbee"-----------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+ --> +------------+  |
// |  |           |     |           |     | [6, 8, 10] |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+

{ "index" : { "_id": "11" } }
{ "user": { "name": "root" }, "process": { "name": "cat" }, ...}
// Nothing happens.
// The machines for "root" and "elkbee" remain the same.
//
// +------------------------"root"------------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |    [7]    |     |           |     |  [2, 4, 9] |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+
//
// +-----------------------"elkbee"-----------------------+
// |  +-----------+     +-----------+     +------------+  |
// |  |  State A  |     |  State B  |     |  Complete  |  |
// |  +-----------+     +-----------+     +------------+  |
// |  |           |     |           |     | [6, 8, 10] |
// |  +-----------+     +-----------+     +------------+  |
// +------------------------------------------------------+