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Get objects Parent/Children/Siblings | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Parent_Children_Siblings#get-objects-parentchildrensiblings | Get objects Parent/Children/Siblings
For example, to get berlina object's (id:261) parent, children and siblings
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] |
Request | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Parent_Children_Siblings#request | Request
Note that for children and _siblings you can use the objectTypes argument to filter for specific types.
Any combination of variant, object, folder is possible as a value for the objectTypes argument (default: ["object", "folder"]).
{
getCar(id: 261) {
id
name
parent {
... on object_Car {
id
name
}
}
children(objectTypes: ["variant", "object"]) {
... on object_Car {
id
name
color
}
}
_siblings {
... on object_Car {
id
name
}
}
}
}
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] |
Response | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Parent_Children_Siblings#response | Response
{
"data": {
"getCar": {
"id": "261",
"name": "1900",
"parent": {
"id": "260",
"name": "1900"
},
"children": [
{
"id": "263",
"name": "1900",
"color": [
"black"
]
},
{
"id": "262",
"name": "1900",
"color": [
"silver"
]
}
],
"_siblings": [
{
"id": "264",
"name": "1900 Sprint"
}
]
}
}
}
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Get Car With Referenced Manufacturer and Manufacturer Logo Image Thumbnail | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Get_Linked_Data#get-car-with-referenced-manufacturer-and-manufacturer-logo-image-thumbnail | Get Car With Referenced Manufacturer and Manufacturer Logo Image Thumbnail | [
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Configuration | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Get_Linked_Data#configuration | Configuration
Deeplink: https://demo.pimcore.fun/admin/login/deeplink?object_277_object
Note that you have to adapt your schema definition as depicted below. The thumbnail
will generated using the Thumbnail Operator.
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Request | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Get_Linked_Data#request | Request
{
getCar(id:277, defaultLanguage:"en") {
name
frenchName: name(language: "fr")
productionYear
cylinders
manufacturer {
...on object_Manufacturer {
id
name
logo {
fullpath
}
customThumbnail
}
}
}
}
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] |
Response | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Get_Linked_Data#response | Response
{
"data": {
"getCar": {
"name": "Montreal",
"frenchName": null,
"productionYear": 1970,
"cylinders": 8,
"manufacturer": {
"id": "28",
"name": "Alfa Romeo",
"logo": {
"fullpath": "/Brand%20Logos/Alfa_Romeo_logo.png",
"filesize": 101613
},
"customThumbnail": "/Brand%20Logos/image-thumb__290__galleryLightbox/Alfa_Romeo_logo.webp"
}
}
}
}
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Translate Values | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Translate_Values#translate-values | Translate Values
The following example translates the AccessoryPart condition value.
Deeplink: http://pimcore-demo-basic.pim.zone/admin/login/deeplink?object_373_object
Operator Config:
Website Translation Grid:
The idea in the following example is to use the website translation feature to convert
the value of the select field into a human-readable representation. | [
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Request | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Translate_Values#request | Request
{
getAccessoryPart(id: 373, defaultLanguage: "de") {
# real condition
condition
# processed by the website translator with the prefix as defined in the export
# config and the language as specified above
translatedCondition
}
}
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Response | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Query_Samples/Sample_Translate_Values#response | Response
{
"data": {
"getAccessoryPart": {
"condition": "broken",
"translatedCondition": "nicht mehr zu gebrauchen :-)"
}
}
}
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Add a Custom Query Datatype | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Add_Custom_Query_Datatype#add-a-custom-query-datatype | Add a Custom Query Datatype
For adding a new query data type two steps are necessary:
add a type definition
provide a resolver implementation (optional)
To add a type definition, add a section similar to this one to your services.yml file.
pimcore.datahub.graphql.dataobjectquerytypegenerator_datatype_mycustomdatatype:
class: Pimcore\Bundle\DataHubBundle\GraphQL\DataObjectQueryFieldConfigGenerator\MyCustomDatatype
tags:
- { name: pimcore.datahub.graphql.dataobjectquerytypegenerator, id: typegenerator_dataobjectquerydatatype_mycustomdatatype }
For reference, have a look at a look at the
Link datatype.
It also shows how specific attributes are resolved.
If you don't provide a resolver function then the getter method is called instead. | [
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Add a Custom Query Operator | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Add_Custom_Query_Operator#add-a-custom-query-operator | Add a Custom Query Operator
For adding a new query operator two steps are necessary:
add a type definition
add the operator implementation
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Type Definition | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Add_Custom_Query_Operator#type-definition | Type Definition
Add a section similar to this one to your services.yml file.
pimcore.datahub.graphql.querytypegenerator_operator_mycustomoperator:
class: Pimcore\Bundle\DataHubBundle\GraphQL\QueryOperatorConfigGenerator\MyCustomOperator
tags:
- { name: pimcore.datahub.graphql.dataobjectquerytypegenerator, id: typegenerator_queryoperator_mycustomoperator }
For reference, have a look at a look at the
Trimmer operator. | [
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Operator Implementation | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Add_Custom_Query_Operator#operator-implementation | Operator Implementation
You have to provide both JavaScript code dealing with the UI configuration aspects specific to your operator
and the server-side PHP implementation doing the actual calculations.
A JS sample can be found here.
Note that the namespace would be pimcore.plugin.datahub.operator.mycustomoperator.
Make sure, that your extension gets loaded. See Pimcore Bundles
docs page for further details.
Next thing is to provide the server-side implementation.
A sample can be found here.
Finally, we have to define how the operator instances get created.
In most cases we use the DefaultOperatorFactory for that:
pimcore.datahub.graphql.dataobjectqueryoperator.factory.mycustomoperator:
class: Pimcore\Bundle\DataHubBundle\GraphQL\Query\Operator\Factory\DefaultOperatorFactory
arguments:
$className: Pimcore\Bundle\DataHubBundle\GraphQL\Query\Operator\MyCustomOperator
tags:
- { name: pimcore.datahub.graphql.dataobjectqueryoperator_factory, id: mycustomoperator }
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] |
Add a Custom Query | https://pimcore.com/docs/platform//Datahub/GraphQL/Query/Add_Custom_Query#add-a-custom-query | Add a Custom Query
You can extend the query schema and add your custom query in the following way.
See Events and Event Listeners
if you need more information on Pimcore's event mechanism.
\Pimcore::getEventDispatcher()->addListener(\Pimcore\Bundle\DataHubBundle\Event\GraphQL\QueryEvents::PRE_BUILD,
function (\Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\QueryTypeEvent $event) {
$config = $event->getConfig();
$outputType = new \GraphQL\Type\Definition\ObjectType([
'name' => "CustomQueryResultType",
'fields' => [
'outputFieldA' => [
'type' => \GraphQL\Type\Definition\Type::string(),
'resolve' => function ($source, $args, $context, \GraphQL\Type\Definition\ResolveInfo $info) {
return "A-value for item " . $source['resolvedId'] . " is " . uniqid();
}
],
'outputFieldB' => [
'type' => \GraphQL\Type\Definition\Type::string(),
'resolve' => function ($source, $args, $context, \GraphQL\Type\Definition\ResolveInfo $info) {
return "B-value for item " . $source['resolvedId'] . " is " . uniqid();
}
]
]
]
);
$operation = [
'type' => $outputType,
'args' => ['itemId' => ['type' => \GraphQL\Type\Definition\Type::nonNull(\GraphQL\Type\Definition\Type::int())]],
'resolve' => function ($source, $args, $context, \GraphQL\Type\Definition\ResolveInfo $info) {
// resolve the item using the input parameters. Result will be passed
// to the field-level resolvers
return ['resolvedId' => $args['itemId']];
}
];
$config['fields']['performCustomQuery'] = $operation;
$event->setConfig($config);
});
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Document Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#document-mutations | Document Mutations | [
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] |
Supported Document Types | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#supported-document-types | Supported Document Types
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Supported Page Element Types | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#supported-page-element-types | Supported Page Element Types
Areablock
Block
Embed
Image (for now only target asset + alt text, no hotspots or markers)
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Multiselect
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Mutation Modes | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#mutation-modes | Mutation Modes
There a two modes for document mutations. The Free-form API allows updating single editable content but
requires lots of Pimcore insight knowledge. The Tree API provides a more intuitive nested approach for
creating and updating documents. | [
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Free-form API | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#free-form-api | Free-form API
Important Note: To be able to fully exploit this feature you have to understand Pimcore's editable naming strategy
Update or add single or multiple editables by defining their exact name and their content. | [
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] |
Sample (Update Existing Document) | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#sample-(update-existing-document) | Sample (Update Existing Document)
mutation {
updateDocumentPage(
id: 99
input: {
editableUpdateStrategy: replaceAll # defaults to update
editables: {
input: [
{ _editableName: "content:2.headline", text: "HEYYOU 3" }
{ _editableName: "headline", text: "NEW 2" }
]
wysiwyg: [
{ _editableName: "content:1.content", text: "my new <b>wysiwyg</b>" }
]
}
module: "mymodule"
}
) {
success
document {
controller
}
}
}
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] |
Additional Examples | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#additional-examples | Additional Examples
See following list for more examples with the free-form API approach:
Create document with areablocks and nested block with images
Update email document
Create a new link document
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Tree API | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#tree-api | Tree API
If you are not familiar with Pimcore's editable naming strategy
you can also use the nested approach. | [
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] |
Sample (Update a Page With an Areablock Using the Nested Approach) | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#sample-(update-a-page-with-an-areablock-using-the-nested-approach) | Sample (Update a Page With an Areablock Using the Nested Approach)
mutation {
updateDocumentPage(
id: 99
input: {
editables: {
areablock: [
{
_editableName: "content"
items: [
{
type: "headlines"
editables: {
input: [
{
_editableName: "headline"
text: "HEY, I AM A SUBHEADLINE"
}
]
}
}
]
}
]
}
controller: "@AppBundle\\Controller\\ContentController"
action: "default"
}
) {
success
document {
controller
elements {
__typename
}
}
}
}
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] |
Additional Examples | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Document_Mutations#additional-examples | Additional Examples
See following list for more examples with the tree API approach:
Create document with areablocks and nested block with images
| [
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] |
Create Asset | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Asset_Mutations#create-asset | Create Asset
This will create an Asset with uploading data provided:
mutation {
createAsset(
parentId: 1,
filename: "foo.png",
type: "image",
input: {
data: "ewogICAgImZpZWxkY29sbGVjdGlvbiI6IFsKICAgICAgICB7CiAgICAgICAgICAgICJwYXJlbn...."
}) {
success
message
}
}
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] |
Update Asset | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Asset_Mutations#update-asset | Update Asset
This will rename the Asset and update the data.
Request:
mutation {
updateAsset(id: 76, input: {filename:"newfilename",
data:"iVBORw0KGgoAAAANSUhEUg....."}) {
success
message
assetData {
modificationDate
}
}
}
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] |
Delete Asset | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Asset_Mutations#delete-asset | Delete Asset
mutation {
deleteAsset(id: 533) {
success
message
}
}
or
mutation {
deleteAsset(fullpath: "/Sample Content/Background Images/foo.png") {
success
message
}
}
| [
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DataObject Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#dataobject-mutations | DataObject Mutations
TODO: Align this with the new demo as soon as reasonable content is available.
Create Objects
Update Objects
Delete Objects
In addition, you can turn on mutations to modify assets, create object folders and on on.
Note that for Create and Update operate you can query the updated data using the same request.
Keep in mind that for all kinds of mutations you need the Write permission. | [
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] |
Supported Mutation Datatypes | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#supported-mutation-datatypes | Supported Mutation Datatypes
Also check out the Pimcore's data type documentation.
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Supported Mutation Operators | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#supported-mutation-operators | Supported Mutation Operators
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] |
Create Object | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#create-object | Create Object
TBD: do we need an extra workspace permission for that ? (in addition to write which would be only used for updates)
Request:
mutation {
createNews(parentId: 66, key: "testcreate27", published: false) {
success
message
output(defaultLanguage: "de") {
id
creationDate
fullpath
title(language: "en")
}
}
}
Response:
{
"data": {
"createNews": {
"success": true,
"message": "object created: 98",
"output": {
"id": "98",
"creationDate": 1559642310,
"fullpath": "/tests/testcreate2/testcreate27",
"title": null
}
}
}
}
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Update Object | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#update-object | Update Object
Updates german title and short text and returns the modification date.
Request:
mutation {
updateNews(id: 773, defaultLanguage: "de", input: {title: "german TITLE", shortText: "new short text"}) {
success
output {
modificationDate
}
}
}
Response:
{
"data": {
"updateNews": {
"success": true,
"output": {
"modificationDate": 1559746654
}
}
}
}
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] |
Delete Object | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#delete-object | Delete Object
Request:
mutation {
deleteBlogCategory(id: 37) {
success
message
}
}
Response:
{
"data": {
"deleteBlogCategory": {
"success": true,
"message": ""
}
}
}
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Extend Data Object Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#extend-data-object-mutations | Extend Data Object Mutations
It is possible to add custom mutation data types and mutation operators. For details see detail documentation
pages:
Add a custom mutation datatype
Add a custom mutation operator
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] |
More Examples | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/DataObject_Mutations#more-examples | More Examples
See following list for more examples with data object mutations:
Add Relations
Fieldcollection Mutations
| [
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Mutation Operators | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Operators#mutation-operators | Mutation Operators
Operators allow to modify and transform the data before it is stored in Pimcore.
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IfNotEmpty | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Operators#ifnotempty | IfNotEmpty
Only sets the value if current one is empty. | [
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Locale Collector | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Operators#locale-collector | Locale Collector
Allows editing all languages for a single field. | [
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] |
[FreeForm] Create Document With Areablocks and Nested Block With Images | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/FreeformAPI_Create_Document_with_Areablocks#[freeform]-create-document-with-areablocks-and-nested-block-with-images | [FreeForm] Create Document With Areablocks and Nested Block With Images
See demo document 99 for reference.
mutation {
createDocumentPage(
key: "documentkey47"
parentId: 1
input: {
editables: {
areablock: [
{
_editableName: "content"
indices: [
{ key: "1", type: "headlines", hidden: false }
{ key: "2", type: "wysiwyg-with-images", hidden: false }
{ key: "3", type: "image", hidden: false }
]
}
]
block: { _editableName: "content:2.images", indices: [1, 2] }
image: [
{ _editableName: "content:3.image", alt: "alt text", id: 67 }
{
_editableName: "content:2.images:1.image"
alt: "alt text for image 1"
id: 18
}
{
_editableName: "content:2.images:2.image"
alt: "alt text for image 2"
id: 22
}
]
input: [
{
_editableName: "content:1.headline"
text: "HEY, I AM A SUBHEADLINE"
}
{ _editableName: "headline", text: "THIS IS THE HEADLINE" }
]
wysiwyg: [
{ _editableName: "content:1.lead", text: "The lead text" }
{
_editableName: "content:2.content"
text: "<b>Lorem Ipsum</b> is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book..."
}
]
}
controller: "@AppBundle\\Controller\\ContentController"
action: "default"
}
) {
success
document {
controller
elements {
__typename
}
}
}
}
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] |
[FreeForm] Update Email Document | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/FreeformAPI_Update_Email_Document#[freeform]-update-email-document | [FreeForm] Update Email Document
See demo document 144 for reference.
mutation {
updateDocumentEmail(
id: 144
editableUpdateStrategy: replaceAll # defaults to update
input: {
editables: {
wysiwyg: [
{
_editableName: "greeting_text"
text: "Hello ... I am a <b>Greeting Text</b>"
}
]
}
subject: "Email subject"
}
) {
success
document {
controller
}
}
}
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] |
[FreeForm] Create a New Link Document | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/FreeformAPI_Create_new_Link_Document#[freeform]-create-a-new-link-document | [FreeForm] Create a New Link Document
mutation {
createDocumentLink(key: "newlinkdocument", parentId:1, input: {
internal:308
internalType:"asset"
}
) {
success
}
}
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] |
[TreeAPI] Create Document With Areablocks and Nested Block With Images | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/TreeAPI_Create_Document_with_Areablocks#[treeapi]-create-document-with-areablocks-and-nested-block-with-images | [TreeAPI] Create Document With Areablocks and Nested Block With Images
Note that this produces the same result as this example
but uses the nested API instead of the free-form approach
mutation {
createDocumentPage(
key: "documentkey48"
parentId: 1
input: {
editables: {
areablock: [
{
_editableName: "content"
items: [
{
type: "headlines"
hidden: false # optional
replace: false # defaults to true, all editables will be replaced (of course, this only makes sense for updates)
editables: {
input: [
{
_editableName: "headline"
text: "HEY, I AM A SUBHEADLINE"
}
]
wysiwyg: [
{ _editableName: "lead", text: "The lead text" }
]
}
}
{
type: "wysiwyg-with-images"
replace: false
editables: {
block: [
{
_editableName: "images"
items: [
{
replace: false # replace all elements inside the editable
editables: {
image: [
{
_editableName: "image"
alt: "alt text for image 1"
id: 18
}
]
}
}
{
replace: true
editables: {
image: [
{
_editableName: "image"
alt: "alt text for image 2"
id: 22
}
]
}
}
]
}
]
wysiwyg: [
{
_editableName: "content"
text: "<b>Lorem Ipsum</b> is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book..."
}
]
}
}
{
type: "image"
editables: {
image: [
{ _editableName: "image", alt: "alt text", id: 67 }
]
}
}
]
}
]
input: [{ _editableName: "headline", text: "THIS IS THE HEADLINE" }]
}
controller: "@AppBundle\\Controller\\ContentController"
action: "default"
}
) {
success
document {
controller
elements {
__typename
}
}
}
}
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-0.20577679574489594,
-0.20948679745197296,
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0.14941996335983276,
-1.320603847503662,
0.035384926944971085,
-0.49007466435432434,
-0.6154054403305054,
-0.07975248247385025,
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0.919826090335846,
-0.37408193945884705,
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] |
Sample Add Relations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Sample_Add_Relations#sample-add-relations | Sample Add Relations
This will add relations to categories relation field of Car object. Type can be omitted for
mutations only allowing one type, e.g. many-to-many-objects .
Note: Read permissions are required for related objects to be assigned.
Request:
mutation {
createCar (
key: "test-car",
parentId: 1086,
published: true,
input: {
name: "Test Car",
categories: [
{id: 390, type: "object"},
{id: 392, type: "document"}
]
}
) {
output(defaultLanguage: "en") {
id
creationDate
fullpath
}
}
}
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Fieldcollection Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Fieldcollection_Mutations#fieldcollection-mutations | Fieldcollection Mutations
A Field Collection
is a list of items which can have different types.
Since there is no Union input type in GraphQL, the approach for Fieldcollection mutations is different.
The mutation processor expects a list of items for a specific type.
Within the list, all items are listed with their indices and data. | [
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] |
Example | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Fieldcollection_Mutations#example | Example
mutation {
updateNews(
id: 1143
input: {
content: {
replace: false
items: {
NewsText: [{ index: 1, text: "news text" }]
NewsCars: [
{ index: 0, relatedCars: [{ type: "object", id: 318 }, { type: "object", id: 38 }] }
{ index: 2, title: "new cars", relatedCars: [{ type: "object", id: 156 }, { type: "object", id: 184 }] }
]
}
}
}
) {
success
message
}
}
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Notes | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Fieldcollection_Mutations#notes | Notes | [
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] |
Index | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Fieldcollection_Mutations#index | Index
The index is optional. If no index is provided then an autoincrement is used. | [
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Replace vs. Overwrite | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Fieldcollection_Mutations#replace-vs.-overwrite | Replace vs. Overwrite
If replace is set to true (default is false) then the entire collection will be replaced.
Otherwise individual items will be overwritten. | [
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Datahub/GraphQL/Mutation/Mutation_Samples/Operators/Locale_Collector | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Operators/Locale_Collector#datahubgraphqlmutationmutation_samplesoperatorslocale_collector | Datahub/GraphQL/Mutation/Mutation_Samples/Operators/Locale_Collector
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title: Locale Collector | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Operators/Locale_Collector#title:-locale-collector | title: Locale Collector | [
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] |
Sample for Mutation Operator "Locale Collector" | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Mutation_Samples/Operators/Locale_Collector#sample-for-mutation-operator-"locale-collector" | Sample for Mutation Operator "Locale Collector"
mutation {
updateTable(
id: 7
input: {
name_translated: {
en: "Dinner table"
de: "Esstisch"
}
}
) {
success
message
output {
name_en: name(language: "en")
name_de: name(language: "de")
}
}
}
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Add a Custom Mutation Datatype | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Add_Custom_Mutation_Datatype#add-a-custom-mutation-datatype | Add a Custom Mutation Datatype
For adding a new mutation data type two steps are necessary:
add an input type definition
provide a processor implementation
Add a section similar to this one to your services.yml file.
pimcore.datahub.graphql.dataobjectmutationtypegenerator_datatype_mycustomdatatype:
class: Pimcore\Bundle\DataHubBundle\GraphQL\DataObjectMutationFieldConfigGenerator\MyCustomDatatype
tags:
- { name: pimcore.datahub.graphql.dataobjectmutationtypegenerator, id: typegenerator_dataobjectmutationdatatype_mycustomdatatype }
For reference, have a look at a look at the
Geopoint datatype.
You return a valid GraphQL input type (which is an InputObjectType) here and a Processor which processes the actual
input data.
For a rather simple example have a look at the
Date
implementation (which both accepts integer and string input values). | [
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Add a Custom Mutation Operator | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Add_Custom_Mutation_Operator#add-a-custom-mutation-operator | Add a Custom Mutation Operator
For adding a new mutation operator two steps are necessary:
add a type definition
add the operator implementation
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Type Definition | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Add_Custom_Mutation_Operator#type-definition | Type Definition
Add a section similar to this one to your services.yml file.
pimcore.datahub.graphql.dataobjectmutationtypegenerator_operator_mycustommutationoperator:
class: Pimcore\Bundle\DataHubBundle\GraphQL\DataObjectMutationOperatorConfigGenerator\MyCustomMutationOperator
tags:
- { name: pimcore.datahub.graphql.dataobjectmutationtypegenerator, id: typegenerator_mutationoperator_mycustommutationoperator }
For reference have a look at:
IfEmpty Operator.
This will again define a processor (see the next subsection) and try to automatically determine the input type
depending on its child element. | [
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Operator Implementation | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Add_Custom_Mutation_Operator#operator-implementation | Operator Implementation
You have to provide both JavaScript code dealing with the UI configuration aspects specific to your operator
and the server-side PHP implementation processing the input (the input processor according to your input schema).
A JS sample can be found
here.
Note that the namespace in your case would be pimcore.plugin.datahub.mutationoperator.mycustommutationoperator.
Make sure that your extension gets loaded. See Pimcore Bundles
docs page for further details.
Next thing is to provide the input processor on the server side.
A sample can be found
here.
It will get the child value and only overwrite the current value if it is empty. | [
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Add Custom Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL/Mutation/Add_Custom_Mutations#add-custom-mutations | Add Custom Mutations
You can extend the mutation schema and add your custom mutations in the following way.
See Events and Event Listeners
if you need more information on Pimcore's event mechanism.
\Pimcore::getEventDispatcher()->addListener(\Pimcore\Bundle\DataHubBundle\Event\GraphQL\MutationEvents::PRE_BUILD,
function (\Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\MutationTypeEvent $event) {
$config = $event->getConfig();
$opName = "performCustomMutation";
$inputType = new \GraphQL\Type\Definition\InputObjectType([
'name' => "MyCustomInputTypeName",
'fields' => [
'myCustomFieldName' => [
'type' => \GraphQL\Type\Definition\Type::string()
]
]
]);
$operation = [
'type' => Type::string(), // the result type
'args' => [
'id' => ['type' => Type::nonNull(\GraphQL\Type\Definition\Type::int())],
'input' => ['type' => $inputType],
], 'resolve' => function ($source, $args, $context, \GraphQL\Type\Definition\ResolveInfo $info) {
// do something here
$id = $args['id'];
return "claiming that item " . $id . " has been updated to `" . $args['input']['myCustomFieldName'] . "`";
}
];
$config['fields'][$opName] = $operation;
$event->setConfig($config);
});
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Events | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#events | Events
Datahub GraphQL events are based on the Symfony event dispatcher, and are triggered during execution of Query and Mutation requests.
Read more about events on Pimcore documentation.
All Datahub events are defined as a constant on component classes:
Query
Mutation
Executor
Listing
Ouput cache
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Event Subscriber Examples | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#event-subscriber-examples | Event Subscriber Examples
With Symfony, you can listen to events using either Event Listeners or Event Subscribers.
Event Subscribers are used in the examples below.
Create a new class in src/AppBundle/EventListener/GraphQlSubscriber.php and use autoconfigure: true in your service configuration file
(app/config/services.yml or src/AppBundle/Resources/config/services.yml)
to let Symfony automatically recognize it as an Event Subscriber,
either under _defaults or directly with the service:
services:
_defaults: # Defaults for this file
autoconfigure: true # Let Symfony automatically configure Event Subscribers, Commands etc.
# ...
AppBundle\EventListener\:
resource: '../../EventListener'
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Example 1: Query & Mutation execution | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#example-1:-query-&-mutation-execution | Example 1: Query & Mutation execution
<?php
namespace AppBundle\EventListener;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\ExecutorEvents;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\ExecutorEvent;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\ExecutorResultEvent;
use Symfony\Component\EventDispatcher\EventSubscriberInterface;
class GraphQlSubscriber implements EventSubscriberInterface
{
/**
* @inheritDoc
*/
public static function getSubscribedEvents()
{
return [
ExecutorEvents::PRE_EXECUTE => 'onPreExecute', //Pre execute on Query & Mutation
ExecutorEvents::POST_EXECUTE => 'onPostExecute' //Post execute on Query & Mutation
];
}
/**
* @param ExecutorEvent $event
*/
public function onPreExecute(ExecutorEvent $event)
{
// do something with the query or schema
$query = $event->getQuery();
$schema = $event->getSchema();
}
/**
* @param ExecutorResultEvent $event
*/
public function onPostExecute(ExecutorResultEvent $event)
{
// do something with output result
$result = $event->getResult();
}
}
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] |
Example 2: Bypass workspace permissions with Query/Mutation build events | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#example-2:-bypass-workspace-permissions-with-querymutation-build-events | Example 2: Bypass workspace permissions with Query/Mutation build events
<?php
namespace AppBundle\EventListener;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\MutationEvents;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\MutationTypeEvent;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\QueryTypeEvent;
use Symfony\Component\EventDispatcher\EventSubscriberInterface;
class GraphQlSubscriber implements EventSubscriberInterface
{
/**
* @inheritDoc
*/
public static function getSubscribedEvents()
{
return [
MutationEvents::PRE_BUILD => 'onMutationPreBuild',
QueryEvents::PRE_BUILD => 'onQueryPreBuild'
];
}
/**
* @param MutationTypeEvent $event
*/
public function onMutationPreBuild(MutationTypeEvent $event)
{
$mutationType = $event->getMutationType();
$mutationType->setOmitPermissionCheck(true); //omit permission check for mutations
}
/**
* @param QueryTypeEvent $event
*/
public function onQueryPreBuild(QueryTypeEvent $event)
{
$queryType = $event->getQueryType();
$queryType->setOmitPermissionCheck(true); //omit permission check for queries
}
}
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] |
Example 3: Add custom arguments to existing types | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#example-3:-add-custom-arguments-to-existing-types | Example 3: Add custom arguments to existing types
<?php
namespace AppBundle\EventListener;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\MutationEvents;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\MutationTypeEvent;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\QueryTypeEvent;
use Symfony\Component\EventDispatcher\EventSubscriberInterface;
use GraphQL\Type\Definition\Type;
class GraphQlSubscriber implements EventSubscriberInterface
{
/**
* @inheritDoc
*/
public static function getSubscribedEvents()
{
return [
MutationEvents::POST_BUILD => 'onMutationPostBuild',
QueryEvents::POST_BUILD => 'onQueryPostBuild'
];
}
/**
* @param MutationTypeEvent $event
*/
public function onMutationPostBuild(MutationTypeEvent $event)
{
$config = $event->getConfig();
//additional check for a field value
$config['fields']['createProduct']['args']['foo'] = [
'type' => Type::nonNull(Type::string())
];
//additional checks for input fields
$input = $config['fields']['createProduct']['args']['input'];
$input->config['fields']['foo'] = [
'type' => Type::nonNull(Type::string())
];
$event->setConfig($config);
}
/**
* @param QueryTypeEvent $event
*/
public function onQueryPostBuild(QueryTypeEvent $event)
{
$config = $event->getConfig();
$config['fields']['getProductListing']['args']['foo'] = [
'type' => Type::boolean()
];
$event->setConfig($config);
}
}
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] |
Example 4: Add custom query conditions to object listing | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#example-4:-add-custom-query-conditions-to-object-listing | Example 4: Add custom query conditions to object listing
For global SQL conditions also General Settings
For simple filter conditions also see Filtering
<?php
namespace AppBundle\EventListener;
use Pimcore\Model\DataObject\Service;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\ListingEvents;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\ListingEvent;
use Symfony\Component\EventDispatcher\EventSubscriberInterface;
class GraphQlSubscriber implements EventSubscriberInterface
{
/**
* @inheritDoc
*/
public static function getSubscribedEvents()
{
return [
ListingEvents::PRE_LOAD => 'onListingPreLoad',
];
}
/**
* @param ListingEvent $event
*/
public function onListingPreLoad(ListingEvent $event)
{
$listing = $event->getListing();
if ($listing->getClassName() === 'Product') {
$listing->setCondition(sprintf('(%s IN (SELECT %s FROM objects WHERE %s=\'object\') AND %s = \'variant\')',
Service::getVersionDependentDatabaseColumnName('o_parentid'),
Service::getVersionDependentDatabaseColumnName('o_id'),
Service::getVersionDependentDatabaseColumnName('o_type'),
Service::getVersionDependentDatabaseColumnName('o_type')));
}
$event->setListing($listing);
}
}
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] |
Example 5: Add custom conditions to enable/disable output (responses) cache per request | https://pimcore.com/docs/platform//Datahub/GraphQL/Events#example-5:-add-custom-conditions-to-enabledisable-output-(responses)-cache-per-request | Example 5: Add custom conditions to enable/disable output (responses) cache per request
OutputCacheEvents::PRE_LOAD: is triggered before trying to load an entry from cache, if cache is enabled. You can disable the cache for this request by setting $event->setUseCache(false). If you disable the cache, the entry won't be loaded nor saved
OutputCacheEvents::PRE_SAVE: if cache is enabled, it's triggered before saving an entry into the cache. You can use it to modify the response before it gets saved.
<?php
namespace AppBundle\EventListener;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\OutputCachePreLoadEvent;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\Model\OutputCachePreSaveEvent;
use Pimcore\Bundle\DataHubBundle\Event\GraphQL\OutputCacheEvents;
use Symfony\Component\EventDispatcher\EventSubscriberInterface;
class GraphqlListener implements EventSubscriberInterface
{
/**
* @inheritDoc
*/
public static function getSubscribedEvents()
{
return [
OutputCacheEvents::PRE_LOAD => 'onPreLoadCache',
OutputCacheEvents::PRE_SAVE => 'onPreSaveCache'
];
}
/**
* @param OutputCachePreLoadEvent $event
*/
public function onPreLoadCache(OutputCachePreLoadEvent $event)
{
$uri = $event->getRequest()->getMethod();
if(str_contains($uri, "my-special-endpoint"))
{
$event->setUseCache(false);
}
}
/**
* @param OutputCachePreSaveEvent $event
*/
public function onPreSaveCache(OutputCachePreSaveEvent $event)
{
$uri = $event->getRequest()->getMethod();
if(str_contains($uri, "my-awesome-endpoint"))
{
$response = $event->getResponse();
// modify the response as you want it to be saved...
$event->setResponse($response);
}
}
}
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Datahub/GraphQL | https://pimcore.com/docs/platform//Datahub/GraphQL#datahubgraphql | Datahub/GraphQL
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title: GraphQL | https://pimcore.com/docs/platform//Datahub/GraphQL#title:-graphql | title: GraphQL | [
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GraphQL | https://pimcore.com/docs/platform//Datahub/GraphQL#-graphql | GraphQL
With GraphQL endpoints, Datahub allows integrating Pimcore to other systems
and services via GraphQL and test them with the integrated
GraphiQL explorer tool right away.
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Configuration | https://pimcore.com/docs/platform//Datahub/GraphQL#configuration | Configuration
Configuration takes place in the endpoint configuration and offers following possibilities:
General Settings
Schema Definition
Security Settings
Custom Permissions
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External Access | https://pimcore.com/docs/platform//Datahub/GraphQL#external-access | External Access
The standard endpoint is
/pimcore-graphql-webservices/{configurationname}?apikey={yourApiKey}
So if your configuration name is blogdemo and your apikey 123456 then your endpoint would be
/pimcore-graphql-webservices/blogdemo?apikey=123456
Here is a configuration how to override the standard endpoint | [
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Queries | https://pimcore.com/docs/platform//Datahub/GraphQL#queries | Queries
Depending on the configuration, the endpoint provides several queries to fetch data from Pimcore. As
Datahub always creates a proper graphQL schema, also have a look at the generated schema to get details
for the possible queries of a certain endpoint.
On the following pages certain generic aspects are explained, and a couple of samples are listed:
For details on Document queries see Document Query Documentation.
For details on Asset queries see Asset Query Documentation.
For details on DataObjects queries see DataObject Query Documentation.
For details on how to add custom queries see Add Custom Queries Documentation.
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] |
Mutations | https://pimcore.com/docs/platform//Datahub/GraphQL#mutations | Mutations
Depending on the configuration, the endpoint provides several mutations to update data in Pimcore. As
Datahub always creates a proper graphQL schema, also have a look at the generated schema to get details
for the possible mutations of a certain endpoint.
See following pages for a general overview of possible mutations:
For details on Document mutations see Document Mutation Documentation
For details on Asset mutations see Asset Mutation Documentation
For details on DataObject mutations see DataObject Mutation Documentation
For details on how to add custom mutations see Add Custom Mutations Documentation.
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Hands-On-Testing Using GraphiQL Explorer | https://pimcore.com/docs/platform//Datahub/GraphQL#hands-on-testing-using-graphiql-explorer | Hands-On-Testing Using GraphiQL Explorer
GraphiQL explorer can be opened
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Events | https://pimcore.com/docs/platform//Datahub/GraphQL#events | Events
It is possible to customize default behavior of graphQL endpoint with event listeners. For details
see Events Documentation. | [
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Output Cache | https://pimcore.com/docs/platform//Datahub/GraphQL#output-cache | Output Cache
It is possible to keep a cache of the responses delivered by the endpoint, using the same default cache backend configured for Pimcore (Doctrine, Redis,...). This is specially useful to speed up the endpoint replies when it produces complex responses with many dependencies.
The cache can be enabled and configured with a configuration entry like this in your config.yml file:
#### DATAHUB OUTPUT CACHE
pimcore_data_hub:
graphql:
output_cache_enabled: true # Enables/disables the output (responses) cache
output_cache_lifetime: 20 # If enabled, for how many seconds each response will be cached
By default the cache is disabled but if it is enabled and you don't specify a value for output_cache_lifetime, its default value is set to 30 seconds. | [
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Disable Output Cache for a Single Request (Only in DEBUG MODE) | https://pimcore.com/docs/platform//Datahub/GraphQL#disable-output-cache-for-a-single-request-(only-in-debug-mode) | Disable Output Cache for a Single Request (Only in DEBUG MODE)
Just add the parameter ?pimcore_outputfilters_disabled=true to the URL. This works in a similar way as the Pimcore's Full Page Cache. | [
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Customize the Cache Behaviour | https://pimcore.com/docs/platform//Datahub/GraphQL#customize-the-cache-behaviour | Customize the Cache Behaviour
It is possible to customize some behavior of output cache with event listeners. For details
see Events Documentation. | [
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Note on Debugging With iGraplQL Playground | https://pimcore.com/docs/platform//Datahub/GraphQL#note-on-debugging-with-igraplql-playground | Note on Debugging With iGraplQL Playground
Open the settings and change request.credentials to include. Otherwise the
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Configuration & Deployment | https://pimcore.com/docs/platform//Datahub/Deployment#configuration-&-deployment | Configuration & Deployment
The configuration by default is saved in var/config/data-hub/example.yaml.
Additionally, a workspace permission index is kept in the database for better query performance when
checking for permissions.
When deploying configurations following steps are necessary:
Deploy configuration file /var/config/.../example.yaml - e.g. check it into your VCS and
deploy it with your deployment mechanisms.
Rebuild workspaces by running datahub:configuration:rebuild-workspaces
Either call:
datahub:configuration:rebuild-workspaces
to do that for all definitions, or:
datahub:configuration:rebuild-workspaces --configs=assets,events
for specific definitions.
Note: The command datahub:graphql:rebuild-definitions is marked as deprecated and will be removed in a future release.
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Configuration Storage | https://pimcore.com/docs/platform//Datahub/Deployment#configuration-storage | Configuration Storage
The configuration user interface utilizes the LocationAwareConfigRepository for storing the configuration. In the symfony tree the storage location can be configured, possible values are
symfony-config - write configs as Symfony Config as YAML files to /var/config/data_hub/<name>.yaml
settings-store - write configs to the SettingsStore
disabled - do not allow to edit/write configs at all
Important: When using symfony-config write target, configs are written to Symfony
Config files (yaml), which are only getting revalidated in debug mode. So if you're changing configs in production you
won't see any update, because these configs are read only.
Details also see Pimcore Docs. | [
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Example | https://pimcore.com/docs/platform//Datahub/Deployment#example | Example
pimcore_data_hub:
config_location:
data_hub:
write_target:
type: 'symfony-config'
options:
directory: '/var/www/html/var/config/data_hub'
Additionally, it is also possible to define the configuration directly in a symfony configuration file without using
the configuration user interface. In this case, the configuration user interface is just read only. | [
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] |
Sample Configuration File | https://pimcore.com/docs/platform//Datahub/Deployment#sample-configuration-file | Sample Configuration File
pimcore_data_hub:
configurations:
<name>:
general:
active: true
type: '<TYPE>'
name: '<NAME>'
description: '<DESCRIPTION>'
group: '<GROUP>
sqlObjectCondition: '<CONDITION>'
modificationDate: <DATE>
path: '<PATH>'
createDate: <DATE>'
schema:
queryEntities: { }
mutationEntities: { }
specialEntities:
document:
read: false
create: false
update: false
delete: false
...
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] |
Testing | https://pimcore.com/docs/platform//Datahub/Testing#testing | Testing | [
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data-hub only context | https://pimcore.com/docs/platform//Datahub/Testing#data-hub-only-context | data-hub only context
´´´bash
.github/ci/scripts/setup-pimcore-environment.sh
composer install
vendor/bin/phpstan analyse --memory-limit=-1
´´´ | [
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] |
Pimcore context | https://pimcore.com/docs/platform//Datahub/Testing#pimcore-context | Pimcore context
´´´bash
composer require "phpstan/phpstan:^1.4" --dev
vendor/bin/phpstan analyse -c vendor/pimcore/data-hub/phpstan.neon --memory-limit=-1
´´´ | [
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Datahub | https://pimcore.com/docs/platform//Datahub#datahub | Datahub
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title: Datahub | https://pimcore.com/docs/platform//Datahub#title:-datahub | title: Datahub | [
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Pimcore Datahub | https://pimcore.com/docs/platform//Datahub#pimcore-datahub | Pimcore Datahub
Pimcore Datahub (data delivery and consumption platform) integrates different input & output channel
technologies into a simple & easy-to-configure system on top of Pimcore.
The basic configuration of Datahub comes with a GraphQL API, which is described in the next sections of this documentation. To use another configuration, Pimcore Datahub can be extended with different adapters (see Further Information).
Sample presentation of Datahub config when choosing the GraphQL endpoint
A short introduction video of an output channel based on the GraphQL query language can be found here. | [
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Features in a Nutshell | https://pimcore.com/docs/platform//Datahub#features-in-a-nutshell | Features in a Nutshell
Easy-to-configure interface layer for data delivery and consumption
Tool of choice to connect Pimcore to any other systems and applications besides internal PHP API - whether they are backend applications like ERP systems or frontend applications like your storefront
Multiple endpoints definition for different use cases and target/source systems
Central and easy-to-use GUI to transform and prepare data for defined endpoints
To-be-exposed data restriction to endpoints by defining workspaces and schemas.
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] |
Documentation Overview | https://pimcore.com/docs/platform//Datahub#documentation-overview | Documentation Overview
Installation
Basic principle for configuring an endpoint
GraphQL [default and recommended endpoint]
Configuration & Deployment
Testing
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Further Information | https://pimcore.com/docs/platform//Datahub#further-information | Further Information
On Pimcore Datahub adapters:
Datahub Simple Rest API
Datahub File Export
Datahub Productsup
Datahub CI Hub
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Contributions | https://pimcore.com/docs/platform//Datahub#contributions | Contributions
As Pimcore Datahub is a community project, any contributions highly appreciated.
For details see our Contributing guide. | [
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Installation | https://pimcore.com/docs/platform//Data_Importer/Installation#installation | Installation | [
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Required Bundles | https://pimcore.com/docs/platform//Data_Importer/Installation#required-bundles | Required Bundles
This bundle depends on Pimcore Datahub bundle. This needs to be installed first. | [
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Installation Process | https://pimcore.com/docs/platform//Data_Importer/Installation#installation-process | Installation Process | [
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For Pimcore >= 10.5 | https://pimcore.com/docs/platform//Data_Importer/Installation#for-pimcore->=-10.5 | For Pimcore >= 10.5
To install Pimcore Data Importer for Pimcore 10.5 or higher, follow the three steps below:
Install the required dependencies:
composer require pimcore/data-importer
Make sure the bundle is enabled in the config/bundles.php file. The following lines should be added:
use Pimcore\Bundle\DataImporterBundle\PimcoreDataImporterBundle;
// ...
return [
// ...
// make sure PimcoreDataHubBundle is added before to that list
// ...
PimcoreDataImporterBundle::class => ['all' => true],
// ...
];
Install the bundle:
bin/console pimcore:bundle:install PimcoreDataImporterBundle
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For Pimcore 11 | https://pimcore.com/docs/platform//Data_Importer/Installation#for-pimcore-11 | For Pimcore 11
You need to follow the steps mentioned above and additionally run the following command:
composer require pimcore/admin-ui-classic-bundle
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