hierarchy
A hierarchy allows visualization of queries using types such as tree
. Hierarchies are node/edge visualizations. The data to be displayed is specified using a series of nodes and edges. The nodes define the vertices of the graph, and the edges define the connections between them.
Hierarchy blocks can be declared as named resources at the top level of a mod, or they can be declared as anonymous blocks inside a dashboard
or container
, or be re-used inside a dashboard
or container
by using a hierarchy
with base = <mod>.hierarchy.<hierarchy_resource_name>
.
Example Usage
dashboard "tree_ex_nodeonly" {
input "vpc" { width = 4
sql = <<-EOQ select title as label, vpc_id as value from aws_vpc EOQ }
hierarchy { title = "AWS VPC Subnets by AZ"
node { sql = <<-EOQ select vpc_id as id, vpc_id as title from aws_vpc where vpc_id = $1 EOQ args = [self.input.vpc.value] }
node { sql = <<-EOQ select distinct on (availability_zone) vpc_id as from_id, availability_zone as id, availability_zone as title from aws_vpc_subnet where vpc_id = $1 EOQ args = [self.input.vpc.value] }
node { sql = <<-EOQ select availability_zone as from_id, subnet_id as id, subnet_id as title from aws_vpc_subnet where vpc_id = $1 EOQ args = [self.input.vpc.value] }
}
}
Argument Reference
Argument | Type | Optional? | Description |
---|---|---|---|
args | Map | Optional | A map of arguments to pass to the query. |
base | Hierarchy Reference | Optional | A reference to a named hierarchy resource that this hierarchy should source its definition from. title and width can be overridden after sourcing via base . |
category | Block | Optional | category blocks that specify display options for nodes with that category. |
database | String | Optional | A database connection reference, connection string, or Pipes workspace to query. If not specified, the default database will be used. |
edge | Block | Optional | edge blocks that define the edges in the hierarchy. |
node | Block | Optional | node blocks that define the nodes in the hierarchy. |
param | Block | Optional | param blocks that defines the parameters that can be passed in to the query. param blocks may only be specified for hierarchies that specify the sql argument. |
query | Query Reference | Optional | A reference to a query resource that defines the query to run. A hierarchy may either specify the query argument or the sql argument, but not both. |
--search-path | String | Optional | Set a comma-separated list of connections to use as a custom search path for the query |
--search-path-prefix | String | Optional | Set a comma-separated list of connections to use as a prefix to the current search path for the query. |
sql | String | Optional | An SQL string to provide data for the hierarchy . A hierarchy may either specify the query argument or the sql argument, but not both. |
title | String | Optional | A plain text title to display for this hierarchy. |
type | String | Optional | The type of the hierarchy. Can be tree or table . |
width | Number | Optional | The width as a number of grid units that this item should consume from its parent. |
with | Block | Optional | with blocks that define prerequisite queries to run. with blocks may only be specified when the hierarchy is defined as a top-level (mod level), named resource. |
Common Hierarchy Properties
category
Property | Type | Default | Values | Description |
---|---|---|---|---|
color | string | The matching color from the default theme for the data series index. | A valid color value. This may be a named color, RGB or RGBA string, or a control status color. | The color to display for this category. |
Data Format
Data Format
Hierarchy data must be provided in a format where each row represents a node (vertex), an edge (connecting 2 vertices), or both. Hierarchy queries have the same basic structure as flow queries, but unlike flows, hierarchies are restricted to a strict single-parent structure; a given node may have only a single from_id
.
Note that both column names and their relative position are important in hierarchy queries; Powerpipe looks for columns by name in the result set, but Postgres union
queries will append the rows based on the column's position, not the name of the column. All the union
queries must return the same columns, in the same order.
Significant columns are:
Name | Description |
---|---|
id | A unique identifier for the node. Nodes have an id , edges do not. |
title | A title to display for the node. |
category | A display category name. Both nodes and edges may specify a category to dictate how the item is displayed. By default, items of the same category are displayed with the same appearance (color), distinct from other categories. You can specify display options with a category block. |
from_id | The id of the source side of an edge. |
to_id | The id of the destination side of an edge. |
Generally speaking, there are 2 data formats commonly used for hierarchies. It is usually simplest to specify results where each row species a node (with an id
, and optionally title
, category
, and/or depth
) and an edge, by specifying a from_id
:
from_id | id | title | category |
---|---|---|---|
<null> | 1 | foo | root |
1 | 2 | bar | widget |
1 | 3 | baz | widget |
2 | 4 | foobar | fidget |
Alternatively, you may specify nodes and edges as separate rows. In this case, nodes will have an id
and optionally title
, category
, and/or depth
, but to_id
and from_id
will be null. Edges will populate to_id
and from_id
and optionally category
, and will have null id
, depth
, and title
:
from_id | to_id | id | title | category |
---|---|---|---|---|
<null> | <null> | 1 | foo | root |
<null> | <null> | 2 | bar | widget |
<null> | <null> | 3 | baz | widget |
<null> | <null> | 4 | foobar | fidget |
1 | 2 | <null> | <null> | widget |
1 | 3 | <null> | <null> | widget |
2 | 4 | <null> | <null> | fidget |
Common Hierarchy Properties
category
Property | Type | Default | Values | Description |
---|---|---|---|---|
color | string | The matching color from the default theme for the data series index. | A valid color value. This may be a named color, RGB or RGBA string, or a control status color. | The color to display for this category. |
More Examples
Tree via monolithic query
hierarchy { type = "tree" title = "AWS VPC Subnets by AZ" width = 6
sql = <<-EOQ
with vpc as (select 'vpc-9d7ae1e7' as vpc_id)
select null as from_id, vpc_id as id, vpc_id as title, 0 as depth, 'aws_vpc' as category from aws_vpc where vpc_id in (select vpc_id from vpc)
union all select distinct on (availability_zone) vpc_id as from_id, availability_zone as id, availability_zone as title, 1 as depth, 'aws_availability_zone' as category from aws_vpc_subnet where vpc_id in (select vpc_id from vpc)
union all select availability_zone as from_id, subnet_id as id, subnet_id as title, 2 as depth, 'aws_vpc_subnet' as category from aws_vpc_subnet where vpc_id in (select vpc_id from vpc)
EOQ}
Tree with color by category [monolithic]
hierarchy { type = "tree" title = "AWS VPC Subnets by AZ" width = 6
category "aws_vpc" { color = "blue" }
category "aws_availability_zone" { color = "red" }
category "aws_vpc_subnet" { color = "green" }
sql = <<-EOQ
with vpc as (select 'vpc-9d7ae1e7' as vpc_id)
select null as from_id, vpc_id as id, vpc_id as title, 0 as depth, 'aws_vpc' as category from aws_vpc where vpc_id in (select vpc_id from vpc)
union all select distinct on (availability_zone) vpc_id as from_id, availability_zone as id, availability_zone as title, 1 as depth, 'aws_availability_zone' as category from aws_vpc_subnet where vpc_id in (select vpc_id from vpc)
union all select availability_zone as from_id, subnet_id as id, subnet_id as title, 2 as depth, 'aws_vpc_subnet' as category from aws_vpc_subnet where vpc_id in (select vpc_id from vpc)
EOQ}