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The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
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  http://www.apache.org/licenses/LICENSE-2.0

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= TinkerPop 3.7.0

image::https://raw.githubusercontent.com/apache/tinkerpop/master/docs/static/images/gremlin-zamfir.png[width=185]

*Gremfir Master of the Pan Flute*

== TinkerPop 3.7.1
*Release Date: November 20, 2023*

Please see the link:https://github.com/apache/tinkerpop/blob/3.7.1/CHANGELOG.asciidoc#release-3-7-1[changelog] for a
complete list of all the modifications that are part of this release.

=== Upgrading for Users

==== String Manipulation Steps
This version introduces the following new string manipulation steps `asString()`, `length()`, `toLower()`, `toUpper()`, `trim()`,
`lTrim()`, `rTrim()`, `reverse()`, `replace()`, `split()`, `substring()`, and `format()`, as well as modifications to the `concat()` step introduced in 3.7.0.

===== Updates to String Step concat():
Concat has been modified to take traversal varargs instead of a single traversal. Users no longer have to chain
concat() steps together to concatenate multiple traversals:
[source,text]
----
gremlin> g.V(1).outE().as("a").V(1).values("name").concat(select("a").label(), select("a").inV().values("name"))
==>markocreatedlop
==>markoknowsvadas
==>markoknowsjosh
----

A notable breaking change from 3.7.0 is that we have output order of `inject()` as a child of `concat()` to be consistent with other parent steps. Any 3.7.0 uses of `concat(inject(X))` should change to `concat(constant(X))` to retain the old semantics.
[source,text]
----
// 3.7.0
gremlin> g.inject("a").concat(inject("b"))
==>ab

// 3.7.1
gremlin> g.inject("a").concat(inject())
==>aa
gremlin> g.inject("a").concat(inject("b"))
==>aa
gremlin> g.inject("a").concat(constant("b"))
==>ab
----

link:https://tinkerpop.apache.org/docs/x.y.z/reference/#concat-step[concat()-step]

===== New String Steps asString(), length(), toLower(), toUpper():

The following example demonstrates the use of a closure to perform the above functions:
[source,text]
----
gremlin> g.V().hasLabel("person").values("age").map{it.get().toString()}
==>29
==>27
==>32
==>35
gremlin> g.V().values("name").map{it.get().length()}
==>5
==>5
==>3
==>4
==>6
==>5
gremlin> g.inject("TO", "LoWeR", "cAsE").map{it.get().toLowerCase()}
==>to
==>lower
==>case
gremlin> g.V().values("name").map{it.get().toUpperCase()}
==>MARKO
==>VADAS
==>LOP
==>JOSH
==>RIPPLE
==>PETER
----

With these additional steps this operation can be performed with standard Gremlin syntax:
[source,text]
----
gremlin> g.V().hasLabel("person").values("age").asString()
==>29
==>27
==>32
==>35
gremlin> g.V().values("name").length()
==>5
==>5
==>3
==>4
==>6
==>5
gremlin> g.inject("TO", "LoWeR", "cAsE").toLower()
==>to
==>lower
==>case
gremlin> g.V().values("name").toUpper()
==>MARKO
==>VADAS
==>LOP
==>JOSH
==>RIPPLE
==>PETER
----

Scopes are also enabled on these string functions. The global scope functions synonymous to parameterless function call, and will only accept string traversers.
The local scope will also operate inside of lists of strings.
[source,text]
----
gremlin> g.V().values("name").fold().toUpper(local)
==>[MARKO,VADAS,LOP,JOSH,RIPPLE,PETER]
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2672[TINKERPOP-2672],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#asString-step[asString()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#length-step[length()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#toLower-step[toLower()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#toUpper-step[toUpper()-step]

===== New String Steps trim(), lTrim(), rTrim(), reverse():

The following example demonstrates the use of a closure to reverse and trim strings (concatenated with a string for demonstration):

[source,text]
----
gremlin> g.V().values("name").map{it.get().reverse()}
==>okram
==>sadav
==>pol
==>hsoj
==>elppir
==>retep
gremlin>  g.inject("  hi  ").map{it.get().trim() + "trim"}
==>hitrim
gremlin>  g.inject("  hi  ").map{it.get().replaceAll(/^\s+/, '') + "left_trim"}
==>hi  left_trim
gremlin>  g.inject("  hi  ").map{it.get().replaceAll(/\s+$/, '') + "right_trim"}
==>  hiright_trim
----

With these additional steps this operation can be performed with standard Gremlin syntax:
[source,text]
----
gremlin> g.V().values("name").reverse()
==>okram
==>sadav
==>pol
==>hsoj
==>elppir
==>retep
gremlin>  g.inject("  hi  ").trim().concat()
==>hitrim
gremlin>  g.inject("  hi  ").lTrim().concat("left_trim")
==>hi  left_trim
gremlin>  g.inject("  hi  ").rTrim().concat("right_trim")
==>  hiright_trim
----

Scopes are enabled on trim(), lTrim(), and rTrim(). The global scope functions synonymous to parameterless function call, and will only accept string traversers.
The local scope will also operate inside of lists of strings.
Due to reverse() overloading as a list function, scope is not applied, as reversing lists inside of lists is not a practical use case.
[source,text]
----
gremlin> g.inject(["  hello  ", " world "]).trim(Scope.local)
==>[hello,world]
----

See: link:https://tinkerpop.apache.org/docs/x.y.z/reference/#trim-step[trim()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#lTrim-step[lTrim()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#rTrim-step[rTrim()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#reverse-step[reverse()-step],
link:https://issues.apache.org/jira/browse/TINKERPOP-2672[TINKERPOP-2672]

===== New String Steps replace(), split(), substring()

The following example demonstrates the use of a closure to perform `replace()` and `split()` functions:
[source,text]
----
gremlin> g.V().hasLabel("software").values("name").map{it.get().replace("p", "g")}
==>log
==>riggle
gremlin> g.V().hasLabel("person").values("name").map{it.get().split("a")}
==>[m, rko]
==>[v, d, s]
==>[josh]
==>[peter]
----
With these additional steps this operation can be performed with standard Gremlin syntax:
[source,text]
----
gremlin> g.V().hasLabel("software").values("name").replace("p", "g")
==>log
==>riggle
gremlin> g.V().hasLabel("person").values("name").split("a")
==>[m,rko]
==>[v,d,s]
==>[josh]
==>[peter]
----

For `substring()`, the new Gremlin step follows the Python standard, taking parameters start index and optionally an
end index. This will enable certain operations that would be complex to achieve with closure:
[source,text]
----
gremlin> g.V().hasLabel("person").values("name").map{it.get().substring(1,4)}
==>ark
==>ada
==>osh
==>ete
gremlin> g.V().hasLabel("person").values("name").map{it.get().substring(1)}
==>arko
==>adas
==>osh
==>eter
gremlin> g.V().hasLabel("person").values("name").map{it.get().substring(-2)}
String index out of range: -2
Type ':help' or ':h' for help.
----

The `substring()`-step will return a substring with indices specified by the start and end indices, or from
the start index to the remainder of the string if an end index is not specified. Negative indices are allowed and will
count from the end of the string:
[source,text]
----
gremlin> g.V().hasLabel("person").values("name").substring(1,4)
==>ark
==>ada
==>osh
==>ete
gremlin> g.V().hasLabel("person").values("name").substring(1)
==>arko
==>adas
==>osh
==>eter
gremlin> g.V().hasLabel("person").values("name").substring(-2)
==>ko
==>as
==>sh
==>er
----

See: link:https://tinkerpop.apache.org/docs/x.y.z/reference/#replace-step[replace()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#split-step[split()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#substring-step[substring()-step],
link:https://issues.apache.org/jira/browse/TINKERPOP-2672[TINKERPOP-2672]

===== New String Step format()
This step is designed to simplify some string operations. In general, it is similar to the string formatting function
available in many programming languages. Variable values can be picked up from Element properties, maps and scope variables.

[source,text]
----
gremlin> g.V().format("%{name} is %{age} years old")
==>marko is 29 years old
==>vadas is 27 years old
==>josh is 32 years old
==>peter is 35 years old
gremlin> g.V().hasLabel("person").as("a").values("name").as("p1").select("a").in("knows").format("%{p1} knows %{name}")
==>vadas knows marko
==>josh knows marko
gremlin> g.V(1).format("%{name} has %{_} connections").by(bothE().count())
==>marko has 3 connections
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2334[TINKERPOP-2334],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#format-step[format()-step]

==== List Manipulation Steps
Additional List manipulation/filter steps have been added to replace the use of closures: `any()`, `all()`, `product()`,
`merge()`, `intersect()`, `combine()`, `conjoin()`, `difference()`,`disjunct()` and `reverse()`.

The following example demonstrates usage of the newly introduced steps:

[source,text]
----
gremlin> g.V().values("age").fold().all(P.gt(10))
==>[29,27,32,35]
gremlin> g.V().values("age").fold().any(P.eq(32))
==>[29,27,32,35]
gremlin> g.V().values("age").fold().product(__.V().values("age").limit(2).fold())
==>[[29,29],[29,27],[27,29],[27,27],[32,29],[32,27],[35,29],[35,27]]
gremlin> g.V().values("age").fold().merge([32,30,50])
==>[32,50,35,27,29,30]
gremlin> g.V().values("age").fold().combine([32,30,50])
==>[29,27,32,35,32,30,50]
gremlin> g.V().values("age").fold().intersect([32,30,50])
==>[32]
gremlin> g.V().values("age").fold().disjunct([32,30,50])
==>[50,35,27,29,30]
gremlin> g.V().values("age").fold().difference([32,30,50])
==>[35,27,29]
gremlin> g.V().values("age").order().by(desc).fold().reverse()
==>[27,29,32,35]
gremlin> g.V().values("age").fold().conjoin("-")
==>29-27-32-35
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2978[TINKERPOP-2978],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#all-step[all()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#any-step[any()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#product-step[product()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#merge-step[merge()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#intersect-step[intersect()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#combine-step[combine()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#conjoin-step[conjoin()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#difference-step[difference()-step],
link:https://tinkerpop.apache.org/docs/x.y.z/reference/#disjunct-step[disjunct()-step]

==== Date Manipulation Steps

Date manipulations in Gremlin queries were only possible using closures, which may or may not be supported by
different providers. In 3.7.1, we introduce the `asDate()`, `dateAdd` and `dateDiff` steps aimed to replace the usage of closure.

The following example demonstrates usage of newly introduced steps:

[source,text]
----
gremlin> g.inject("2023-08-02T00:00:00Z").asDate().dateAdd(DT.day, 7).dateDiff(datetime("2023-08-02T00:00:00Z"))
==>604800
----

See: link:https://tinkerpop.apache.org/docs/x.y.z/reference/#asDate-step[asDate()-step]
See: link:https://tinkerpop.apache.org/docs/x.y.z/reference/#dateAdd-step[dateAdd()-step]
See: link:https://tinkerpop.apache.org/docs/x.y.z/reference/#dateDiff-step[dateDiff()-step]
See: link:https://issues.apache.org/jira/browse/TINKERPOP-2979[TINKERPOP-2979]

===== `datetime()` for Current Server Time

Function `datetime()` extended to return current server time when used without argument.

[source,text]
----
gremlin> datetime().toGMTString()
==>13 Oct 2023 20:44:20 GMT
----

=== Upgrading for Providers

==== Graph System Providers

===== MultiProperty and MetaProperty Test Tags

The `@MultiMetaProperties` tag signified Gherkin feature tests that were using multi-properties and/or meta-properties.
The features were originally combined as a single tag because tests that had the tag used the crew graph for testing.
As time has gone on, some tests have used the empty graph and inserted their own test data that uses one or the other
feature. In an effort to better allow graphs to support one feature or the other and to test them the single tag has
been split into two tags: `@MultiProperties` and `@MetaProperties`. The original `@MultiMetaProperties` tag has been
removed.

===== InsertionOrderingRequired Test Tag

Added a new `@InsertionOrderingRequired` tag which signifies Gherkin feature tests which are reliant on the graph system predictably returning results (vertices, edges, properties) in the same order in which they were inserted into the graph. These tests should be skipped by any graph which does not guarantee such ordering.

==== Graph Driver Providers




== TinkerPop 3.7.0

*Release Date: July 31, 2023*

Please see the link:https://github.com/apache/tinkerpop/blob/3.7.0/CHANGELOG.asciidoc#release-3-7-0[changelog] for a complete list of all the modifications that are part of this release.

=== Upgrading for Users

==== String concat() Step

String manipulations in Gremlin queries were only possible using closures, which may or may not be supported by
different providers. In 3.7.0, we introduce the `concat()`-step as the beginning of a series of string manipulation steps
aimed to replace the usage of closure.

The following example demonstrates the use of a closure to add a new vertex with a label like an existing vertex but
with some prefix attached:

[source,text]
----
gremlin> g.V(1).map{"prefix_" + it.get().label}.as('a').addV(select('a'))
==>v[13]
gremlin> g.V(13).label()
==>prefix_person
----

With `concat()` step this operation can be performed with standard Gremlin syntax:

[source,text]
----
gremlin> g.addV(constant("prefix_").concat(__.V(1).label()))
==>v[14]
gremlin> g.V(14).label()
==>prefix_person
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2672[TINKERPOP-2672]

==== union() Start Step

The `union()`-step could only be used mid-traversal after a start step. The typical workaround for this issue was to
use `inject()` with a dummy value to start the traversal and then utilize `union()`:

[source,text]
----
gremlin> g.inject(0).union(V().has('name','vadas'),
......1>                   V().has('software','name','lop').in('created')).
......2>   values('name')
==>vadas
==>marko
==>josh
==>peter
----

As of this version, `union()` can be used more directly to avoid the workaround:

[source,text]
----
gremlin> g.union(V().has('name','vadas'),
......1>         V().has('software','name','lop').in('created')).
......2>   values('name')
==>vadas
==>marko
==>josh
==>peter
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2873[TINKERPOP-2873]

==== Map and Cardinality

Relatively recent changes to the Gremlin language have allowed properties to be set by way of a `Map`. As it pertains
to vertices, a `Map` can be given to `mergeV()` and `property()` steps. The limitation was that setting `Cardinality`
with this syntax was not possible without reverting back to `property()` steps that took a `Cardinality` as an argument
in some way. The following paragraphs show how changes for in 3.6.5 make this syntax much better for multi-properties.

The `mergeV()` step makes it much easier to write upsert-like traversals. Of course, if you had a graph that required
the use of multi-properties, some of the ease of `mergeV()` was lost. It typically meant falling back to traversals
using `sideEffect()` or similar direct uses of `property()` to allow it to work properly:

[source,groovy]
----
g.mergeV([(T.id): '1234']).
  option(onMatch, sideEffect(property(single,'age', 20).
                             property(set,'city','miami')).constant([:]))
----

For this version, `mergeV()` gets two new bits of syntax. First, it is possible to individually define the cardinality
for each property value in the `Map` for `onCreate` or `onMerge` events. Therefore, the above example could be written
as:

[source,text]
----
gremlin> g.addV().property(id,1234).property('age',19).property(set, 'city', 'detroit')
==>v[1234]
gremlin> g.mergeV([(T.id): 1234]).
......1>   option(onMatch, ['age': single(20), 'city': set('miami')])
==>v[1234]
gremlin> g.V(1234).valueMap()
==>[city:[detroit,miami],age:[20]]
----

The other option available is to provide a default `Cardinality` to the `option()` as follows, continuing from the
previous example:

[source,text]
----
gremlin> g.mergeV([(T.id): 1234]).
......1>     option(onMatch, ['age': 21, 'city': set('orlando')], single)
==>v[1234]
gremlin> g.mergeV([(T.id): 1234]).
......1>     option(onMatch, ['age': 22, 'city': set('boston')], single)
==>v[1234]
gremlin> g.V(1234).valueMap()
==>[city:[detroit,miami,orlando,boston],age:[22]]
----

In the above example, any property value that does not have its cardinality explicitly defined, will be assumed to be
the cardinality of the argument specified.

For `property(Map)` the `Cardinality` could be set universally for the `Map` with `property(Cardinality, Map)` but
there was no mechanism to set that value individually. Using the same pattern above and constructing a
`CardinalityValue` now allows this possibility.

[source,text]
----
gremlin> g.addV().property(id,1234).property('age',19).property(set, 'city', 'detroit')
==>v[1234]
gremlin> g.V(1234).property(['age': 20, 'city': set('miami')])
==>v[1234]
gremlin> g.V(1234).property(['age': single(21), 'city': set('orlando')])
==>v[1234]
gremlin> g.V(1234).property(single, ['age': 21, 'city': set('boston')])
==>v[1234]
gremlin> g.V(1234).valueMap()
==>[city:[detroit,miami,orlando,boston],age:[21]]
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2957[TINKERPOP-2957]

==== TinkerGraph Transactions

Previously, there was no reference implementation provided for the `Transaction` API as this feature wasn't supported by
TinkerGraph. Users were instead directed towards the Neo4jGraph provided in `neo4j-gremlin` if they wanted to get access
to a `Graph` implementation that supported transactions. Unfortunately, the maintenance around this plugin has largely
been abandoned and is only compatible with Neo4j version 3.4, which reached end of life in March 2020.

As of this version, we are introducing the transactional TinkerGraph, `TinkerTransactionGraph`, which is TinkerGraph with
transaction capabilities. The `TinkerTransactionGraph` has `read committed` isolation level, which is the same as the
Neo4jGraph provided in `neo4j-gremlin`. Only `ThreadLocal` transactions are implemented, therefore embedded graph
transactions may not be fully supported. These transaction semantics may not fit the use case for some production
scenarios that require strict ACID-like transactions. Therefore, it is recommended that TinkerTransactionGraph be used
as a Graph for test environments where you still require support for transactions.

===== Usage examples

To use `TinkerTransactionGraph` remotely, start a Gremlin Server with the included `gremlin-server-transaction.yaml`
config file.

[source,bash]
----
bin/gremlin-server.sh conf/gremlin-server-transaction.yaml
----

Then to connect with Java:

[source,java]
----
GraphTraversalSource g = traversal().withRemote(DriverRemoteConnection.using("localhost",8182,"g")); <1>

GraphTraversalSource gtx = g.tx().begin(); <2>
try {
    gtx.addV('test1').iterate(); <3>
    gtx.addV('test2').iterate(); <3>

    gtx.tx().commit(); <4>
} catch (Exception ex) {
    gtx.tx().rollback(); <5>
}
----

<1> Create connection to Gremlin Server with transaction enabled graph.
<2> Spawn a GraphTraversalSource with opened transaction.
<3> Make some updates to graph.
<4> Commit all changes.
<5> Rollback all changes on error.

One can also use the remote TinkerTransactionGraph in Gremlin Console:

[source,text]
----
gremlin> :remote connect tinkerpop.server conf/remote.yaml session <1>
==>Configured localhost/127.0.0.1:8182-[2e70bf11-12f7-4dfe-8a5e-a3d57f0df304]
gremlin> g = traversal().withRemote(DriverRemoteConnection.using("localhost",8182,"g"))
==>graphtraversalsource[emptygraph[empty], standard]
gremlin> gtx = g.tx().begin() <2>
==>graphtraversalsource[emptygraph[empty], standard]
gremlin> gtx.addV('test').property('name', 'one')
==>v[0]
gremlin> gtx.V().valueMap()
==>[name:[one]]
gremlin> g.V().valueMap()
gremlin> gtx.tx().commit()
==>null
gremlin> g.V().valueMap() <3>
==>[name:[one]]
gremlin> g.V()
==>v[0]
gremlin> gtx = g.tx().begin() <4>
==>graphtraversalsource[emptygraph[empty], standard]
gremlin> gtx.addV('test').property('name', 'two')
==>v[2]
gremlin> gtx.V().valueMap()
==>[name:[one]]
==>[name:[two]]
gremlin> g.V().valueMap()
==>[name:[one]]
gremlin> gtx.tx().rollback()
==>null
gremlin> g.V().valueMap() <5>
==>[name:[one]]
----

<1> Open remote Console session and spawn remote graph traversal source for the empty TinkerTransactionGraph.
<2> Spawn a GraphTraversalSource by opening a transaction.
<3> The vertex is added in the remote graph until we commit the transaction (which automatically closes the transaction).
<4> Spawn another GraphTraversalSource by opening a new transaction.
<5> The second vertex will not bed added to the remote graph since we rolled back the change

To use the embedded TinkerTransactionGraph in Gremlin Console:

[source,text]
----
gremlin> graph = TinkerTransactionGraph.open() <1>
==>tinkertransactiongraph[vertices:0 edges:0]
gremlin> g = traversal().withEmbedded(graph) <2>
==>graphtraversalsource[tinkertransactiongraph[vertices:0 edges:0], standard]
gremlin> g.addV('test').property('name','one')
==>v[0]
gremlin> g.tx().commit() <3>
==>null
gremlin> g.V().valueMap()
==>[name:[one]]
gremlin> g.addV('test').property('name','two') <4>
==>v[2]
gremlin> g.V().valueMap()
==>[name:[one]]
==>[name:[two]]
gremlin> g.tx().rollback() <5>
==>null
gremlin> g.V().valueMap()
==>[name:[one]]
----

<1> Open transactional graph.
<2> Spawn a GraphTraversalSource with transactional graph.
<3> Commit the add vertex operation
<4> Add a second vertex without committing
<5> Rollback the change

Note that all embedded `TinkerTransactionGraph` remains `ThreadLocal` transactions, meaning that all traversal sources
spawned from the graph will operate within the same transaction scope.

IMPORTANT: `TinkerTransactionGraph` comes with performance and semantic limitations, where the former is expect to
be resolved in future versions. Since its primary recommended use case is for testing these limitations should not be
an impediment. Production use cases for TinkerGraph should generally prefer the non-transactional implementation.

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2975[TINKERPOP-2975],
link:https://tinkerpop.apache.org/docs/3.7.0/reference/#tinkergraph-gremlin-tx[Reference Documentation - TinkerGraph Transactions]

==== Properties on Elements

One of the peculiar aspects of using Gremlin remotely is that if you do something like `v = g.V().next()` you will
find that the `v`, the `Vertex` object, does not have any properties associated with it, even if the database
associates some with it. It will be a "reference" only, in that it will only have an `id` and `label`. The reason and
history for this approach can be found on the link:https://lists.apache.org/thread/xltcon4zxnwq4fyw2r2126syyrqm8spy[dev list].
While this has been a long-standing way TinkerPop operates, it is a confusing point for new users and often forces
some inconvenience on folks by requiring them to alter queries to transform graph elements to other forms that can
carry the property data (e.g. `elementMap()`).

With this new release, properties are finally available on graph elements for all programming languages and are now
returned by default for OLTP requests. Gremlin Server 3.5 and 3.6 can return properties only in some special cases.

Queries still won't return properties on Elements for OLAP. It deals with references only as it always have
irrespective of remote or local execution.

Consider the following example of this functionality with Javascript:

[source,javascript]
----
const client = new Client('ws://localhost:8182/gremlin',{traversalSource: 'gmodern'});
await client.open();
const result = await client.submit('g.V(1)');
console.log(JSON.stringify(result.first()));
await client.close();
----

The result will be different depending on the version of Gremlin Server. For 3.5/3.6:

[source,json]
----
{"id":1,"label":"person"}
----

For 3.7:
[source,json]
----
{"id":1,"label":"person","properties":{"name":[{"id":0,"label":"name","value":"marko","key":"name"}],"age":[{"id":1,"label":"age","value":29,"key":"age"}]}}
---- 

===== Enabling the previous behavior

Note that drivers from earlier versions like 3.5 and 3.6 will not be able to retrieve properties on elements. Older
drivers connecting to 3.7.x servers should disable this functionality server-side in one of two ways:

*Configure Gremlin Server to not return properties* - update Gremlin Server initialization script with
`ReferenceElementStrategy`. This configuration is essentially the one used in older versions of the server by default.

[source,groovy]
----
globals << [g : traversal().withEmbedded(graph).withStrategies(ReferenceElementStrategy)]
----

*Disable property inclusion per request* - the `materializeProperties` has a `tokens` option for this purpose.

[source,csharp]
----
g.With("materializeProperties", "tokens").V(1).Next()
----

===== Possible issues

`ReferenceElement`-type objects are no longer returned by the server by default. When upgrading existing code to 3.7.0,
it is possible that this change could have some impact if you directly declared use of those classes. For example:

[source,java]
----
ReferenceVertex v = g.V().next();
----

would need to be changed to:

[source,java]
----
Vertex v = g.V().next();
----

In other words, it would be best to code to the various structural interfaces like `Vertex` and `Edge` rather than
specific implementations.

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2824[TINKERPOP-2824]

==== Gremlin.NET: Nullable Annotations

Gremlin.NET now uses link:https://learn.microsoft.com/en-us/dotnet/csharp/nullable-references#nullable-variable-annotations[nullable annotations]
to state wether an argument or a return value can be null or not. This should make it much less likely to get a
`NullReferenceException` from Gremlin.NET.

This change required to make some breaking changes but most users should not be affected by this as the breaking
changes are limited to APIs that are mostly intended for graph driver providers.

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2348[TINKERPOP-2348]

==== Removed connectOnStartup javascript

Removed the `connectOnStartup` option for Gremlin Javascript API to resolve potential `unhandledRejection` and race
conditions. New `DriverRemoteConnection` objects no longer initiate connection by default at startup. Call `open()`
explicitly if one wishes to manually connect on startup.

For example:

[source,javascript]
----
const drc = new DriverRemoteConnection(url);
drc.open().catch(err => {
   // Handle error upon open.
})
----

==== Creation of New `gremlin-util` Module

`gremlin-driver` has been refactored and several classes have been extracted to a new `gremlin-util` module. Any classes
which are utilized by both `gremlin-driver` and `gremlin-server` have been extracted to `gremlin-util`. This includes
the entire `tinkerpop.gremlin.driver.ser` and `tinkerpop.gremlin.driver.message` packages as well as
`tinkerpop.gremlin.driver.MessageSerializer` and `tinkerpop.gremlin.driver.Tokens`. For a full list of the migrated
classes, see: link:https://issues.apache.org/jira/browse/TINKERPOP-2819[TINKERPOP-2819].
All migrated classes have had their packages updated to reflect this change. For these classes, packages have changed
from `tinkerpop.gremlin.driver.*` to `tinkerpop.gremlin.util.*`. For example
`org.apache.tinkerpop.gremlin.driver.ser.GraphBinaryMessageSerializerV1` has been updated to
`org.apache.tinkerpop.gremlin.util.ser.GraphBinaryMessageSerializerV1`. All imports of these classes should be updated
to reflect this change. All server config files which declare a list of serializers should also be updated to
reflect the new location of serializer classes.

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2819[TINKERPOP-2819]

==== Removal of `gremlin-driver` from `gremlin-server`

`gremlin-driver` is no longer a dependency of `gremlin-server` and thus will no longer be packaged in server
distributions. Any app which makes use of both `gremlin-driver` and `gremlin-server` will now need to directly
include both modules.

==== Serializer Renaming

Serializers tended to have a standard suffix that denotes the version. It usually appears as something like "V1d0".
The "d0" portion of this has always been a bit superfluous and was actually not used when GraphBinary was introduced,
preferring a simple "V1". To bring greater consistency to the naming the "d0" has been dropped from all places where
it was referenced that way.

There was a bit of a misnaming in the early days of TinkerPop 3.x where typed versus untyped json was mixed up among
the GraphSON `MessageSerializer` implementations. For GraphSON 1.0, untyped GraphSON was referred to as
`GraphSONMessageSerializerV1d0` and typed as `GraphSONMessageSerializerGremlinV1d0`, but for version 2.0 of GraphSON,
the idea of untyped GraphSON was left behind and so typed GraphSON became `GraphSONMessageSerializerV2d0` which
followed to version 3.0. With the return of typed and untyped GraphSON for 3.6.5, it seemed important to unify all
of this naming and given the previously mentioned removal of the "d0" we now have:

* `GraphSONMessageSerializerV1` is now typed GraphSON 1.0
* `GraphSONMessageSerializerGremlinV1d0` is removed.
* `GraphSONUntypedMessageSerializerV1` is now untyped GraphSON 1.0
* `GraphSONMessageSerializerV2` is now typed GraphSON 2.0
* `GraphSONMessageSerializerGremlinV2d0` is removed - it was deprecated in 3.4.0 actually and served little purpose
* `GraphSONUntypedMessageSerializerV2` is now untyped GraphSON 2.0
* `GraphSONMessageSerializerV3` is typed GraphSON 3.0 as it always has been
* `GraphSONUntypedMessageSerializerV3` is untyped GraphSON 3.0 which is newly added

==== Building and Running with JDK 17

You can now run TinkerPop with Java 17. Be advised that there are some issues with reflection and so you may need to
either --add-opens or --add-exports certain modules to enable it to work with Java 17. This mostly affects the Kryo
serialization library which is used with OLAP. If you use OLTP, then you may not need to add any of these options to
the JVM. The following are only examples used by TinkerPop's automated tests and are placed here for convenience.

[source,text]
----
    --add-opens=java.base/java.io=ALL-UNNAMED
    --add-opens=java.base/java.nio=ALL-UNNAMED
    --add-opens=java.base/sun.nio.cs=ALL-UNNAMED
    --add-opens=java.base/java.lang=ALL-UNNAMED
    --add-opens=java.base/java.lang.invoke=ALL-UNNAMED
    --add-opens=java.base/java.lang.reflect=ALL-UNNAMED
    --add-opens=java.base/java.util=ALL-UNNAMED
    --add-opens=java.base/java.util.concurrent=ALL-UNNAMED
    --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED
    --add-opens=java.base/java.net=ALL-UNNAMED
----

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2703[TINKERPOP-2703]

=== Upgrading for Providers

==== Graph Driver Providers

===== Gremlin.NET: Nullable Reference Types

Enabling nullable reference types comes with some breaking changes in Gremlin.NET which can affect driver providers.

GraphBinary APIs changed to make better use of nullable reference types. Instead of one method `WriteValueAsync` and
one method `ReadValueAsync`, there are now methods `WriteNullableValueAsync` and `ReadNullableValueAsync` that allow
`null` values and methods `WriteNonNullableValueAsync` and `ReadNonNullableValueAsync` that do not allow `null` values.

Some `set` property accessors were removed from some pure data classes in the `Structure` and the `Driver.Messages`
namespaces to initialize these properties directly from the constructor which ensures that they are really not `null`.
We also used this opportunity to convert some of these pure data classes into a `record`.

See: link:https://issues.apache.org/jira/browse/TINKERPOP-2348[TINKERPOP-2348]

==== Graph System Providers

===== Reworked Gremlin Socket Server

The `SimpleSocketServer` from `gremlin-driver` has been brought into a new module `gremlin-tools/gremlin-socket-server`
and it has been adapted to be usable by all drivers for testing. See more about creating gremlin socket server tests
link:https://tinkerpop.apache.org/docs/x.y.z/dev/developer/#gremlin-socket-server-tests[here].

===== Mid-traversal E()

Traversals now support mid-traversal E()-steps.

Prior to this change you were limited to using E()-step only at the start of traversal, but now you can this step in
the middle. This improvement makes it easier for users to build certain types of queries. For example, get edges with
label knows, if there is none then add new one between josh and vadas.

`g.inject(1).coalesce(E().hasLabel("knows"), addE("knows").from(V().has("name","josh")).to(V().has("name","vadas")))`

Another reason is to make E() and V() steps equivalent in terms of use in the middle of traversal.

See link:https://issues.apache.org/jira/browse/TINKERPOP-2798[TINKERPOP-2798]

===== PBiPredicate interface

Custom predicates used in `P` now should implement `PBiPredicate` interface.

It allows to set the name of the predicate that will be used for serialization by overriding `getPredicateName`.
In previous version `toString` used for this.

In most cases it should be enough just to replace `BiPredicate` with `PBiPredicate` in predicate declaration.

See link:https://issues.apache.org/jira/browse/TINKERPOP-2949[TINKERPOP-2949]
