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This node puts all input work items into a single partition with an
index of 0.
This creates dependencies on all input work items, so this node waits for all upstream work to finish.
You will often use this at the end of the network (before cleanup and notification nodes),
and also in the network where you need everything in a branch to finish before moving on to the next step.
Wait for All is a type of partitioner. Different partition nodes group together upstream work items in different ways. The main effect of partitioning items is that the partition only proceeds after all work items in the partition finish. Partitioning also groups together the attributes of the individual work items into list attributes on the partition.
These parameters control how attributes from input work items are merged onto the partitions produced by the node.
Defines the number of attribute merge operations to perform on the partitioner node. The operations are used to merge attributes from work items in the partition onto the partition itself. Operations are performed in descending order. Attributes are merged using the first operation with a pattern that matches the attribute.
Specifies the operation to perform to merge incoming attributes onto the partition. Each operation only applies only to the subset of attributes matched using the corresponding To Attributes parameter.
The following operations are available:
Matching attributes are ignored and will not appear on the partition.
The value of each matching attribute on the first work item in the partition is kept, and values on subsequent work items are ignored
The value of each matching attribute on the last work item in the partition is kept.
The unique values for each matching attribute are merged into an array. Duplicate values are discarded.
Append to Array
The values for each matching attribute are appended to an array for that attribute. All attribute values from all work items are kept.
The minimum value for each matching attribute is kept.
The maximum value for each matching attribute is kept.
The sum of the values in each matching attribute is stored on the partition.
The average value of each matching attribute is stored on the partition.
The most common value in each matching attribute is kept.
The middle value in each matching attribute is kept.
Specifies which attributes the corresponding Apply Operation parameter should apply to. This field can use the Attribute Pattern Syntax to specify multiple attributes.
When on, the merge operation preserves the original array size of the incoming attributes. The merged array size is determined by the first value found across the input work items. When off, the partitioner flattens the incoming array attributes into a single sequence of values (a single scalar value) and performs the merge operation across all values.
These are advanced parameters that provide finer control over the behavior of the partitioner.
Determines when the partitioning step is performed on the input work items.
Input Items are Generated
Upstream work items are partitioned once all of them have been generated
Input Items are Cooked
Upstream work items are partitioned once all of them are cooked. This may be required when the partitioning scheme is based on the results of the work items' execution.
This makes this partitioner behave like a Wait for All node except that it may create multiple partitions.A
Determines which node or nodes(s) should target. Work items in the target nodes are partitioned as soon as they're generated even if the target nodes are not a direct input to this node. The descendants of the target work items are added to the partitions when they become available.
Direct Input Nodes
The partitioner uses work items from its direct input nodes. This is the default behavior
Upstream Static Nodes
The partitioner will skip over dynamic input nodes and partition work items from the nearest upstream static nodes.
Custom Target Node
The partitioner will use the node specified using the Custom Target Node parameter.
Custom Target Node
Specifies the target TOP node for the partition when Partition Targets is set to Custom Target Node. The partition scheme is applied to the work items in the target TOP node instead of this node’s input work items. The target TOP node must be in the same graph and above this node.
Ignore Failed Work Items
When this toggle is enabled, the partitioner node will skip input work items that are failed and create partitions from the subset of upstream work items that succeeded. This option is only meaningful if Partition When is set to Input Items are Cooked, or when the partitioner node is wired into a dynamic node that has upstream failures.
Split by Attribute
When on, the node splits input work items by the specified attribute(s) before partitioning them. The partitioning logic is evaluated on the list of work items for each distinct attribute value. Work items with different attribute values are always put into different partitions. Multiple attribute names can be specified as a space-separated list.
Determines how the node handles work items that are missing the split attribute.
This parameter is only available when Split by Attribute is on.
Ignore Work Item
Work items that are missing the split attribute are not put into any of the partitions.
Add Work Item to All Partitions
Work items that are missing the split attribute are put into all of the partitions.
Use Default Value
Work items that are missing the split attribute will use the value set by the Default Value parameter.
Specifies the value to use for the split attribute for work items that are missing the attribute.
This parameter is only available when Missing Attribute is set to Use Default Value.
Allow Partial Matches
When Split by Attribute is set to a list of attribute names, this parameter determines how work items with only some of the attributes should be processed. If partial matches are enabled then work items will be added to split groups based on the attributes that do exist. Otherwise, work items with only a subset of the attributes will be excluded from the partitioning step.
Set Partition Frame To
Determines how the partitioner should set the frame value on partitions created by this node. If the partitioner already sets a custom frame value, for example like with a Python Partitioner SOP or Partition by Frame SOP, then this parameter has no effect.
No frame value is set on partitions.
First Work Item’s Frame
The frame value from the first work item based on the current Sort Contents By sort order is copied onto the partition.
Last Work Item’s Frame
The frame value from the last work item based on the current Sort Contents By sort order is copied onto the partition.
The largest frame value from all work items in the partition is used for the partition’s frame.
The smallest frame value from all work items in the partition is used for the partition’s frame.
Sort Contents By
Determines the order that work items are sorted in when accessing the partitions on this node. This also affects the sort order of output files on the partition.
No sorting is applied. The work items in the partition are handled in no particular order.
Work Item Index
Work items in the partition are sorted based on their index.
Input Node Order
Work items in the partition are sorted based on the order of input nodes wired into this node. If two work items are from the same input, they are then sorted by index.
Work items in the partition are sorted based on the attribute specified in the Sort Attribute field parameter.
Determines whether the work items in this node’s partitions are sorted in ascending or descending order.
Specifies the name of the attribute to sort by.
This parameter is only available when Sort Contents By is set to Attribute.
Store Items to Attrib
When on, the list of IDs corresponding to the work items in the partition are written to the specified attribute. The work item IDs are stored as an integer array. This makes it easier to recover the list of partitioned work items downstream of the partitioner node.