SDF YML Schema

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Block: Workspace

Field	Type	Description
edition:	string	The SDF edition, should always be 1.3 (1.2 is deprecated)
name:	string	The name of this workspace (defaults to the workspace directory name if not given) Name must be set for deployment.
is-tablename-case-sensitive:	boolean	Whether table names are treated as case sensitive in this workspace Applies globally to the entire project, and is non-overridable. Defaults to false Note: this setting is only effective when set on the root workspace file, if set on included workspaces it will be ignored
description:	string	A description of this workspace
repository:	string	The URL of the workspace source repository (defaults to ‘none’ if no repository is given)
includes:	array	An array of directories and filenames containing .sql and .sdf.yml files
excludes:	array	An array of directories and filenames to be skipped when resolving includes
dependencies:	array	Dependencies of the workspace to other workspaces or to cloud database providers
integrations:	array	The integrations for this environment
defaults:	Defaults?	Defaults for this workspace
source-locations:	array	Workspace defined by these set of files
vars:	object	A map of named values for setting SQL variables from your environment Ex. -dt: dt, used in SQL as @dt, and in Jinja as
dbt:	DbtConfig?	Configuration for dbt integration

​

Block: Table

Field	Type	Description
name:	String	The name of the table (syntax: [[catalog.]schema].table) Note: this field is typed as a [QualifiedName] for serialization. In almost all cases you should use the [Self::fqn()] method to get the fully qualified [TableName] instead of accessing this field directly.
description:	string?	A description of this table
dialect:	Dialect?	The dialect of this table, defaults to undefinedtrinoundefined
casing-policy:	CasingPolicy?	Case normalization policy for names specified in this table
materialization:	Materialization?	The table-type of this table (new version)
warehouse:	string?	The warehouse where this table is computed
purpose:	TablePurpose?	Specify what kind of table or view this is
origin:	TableOrigin	The origin of this table <remote> or <local>
exists-remotely:	boolean?	Whether the table exists in the remote DB (used for is_incremental macro)
table-location:	TableLocation?	Specify table ,location, defaults to none if not set
creation-flags:	TableCreationFlags?	Defines the table creation options, defaults to none if not set
incremental-options:	IncrementalOptions?	Options governing incremental table evaluation (only for incremental tables)
snapshot-options:	SnapshotOptions?	Options governing snapshot table evaluation (only for snapshot tables)
dependencies:	array	All tables that this table depends on (syntax: catalog.schema.table)
depended-on-by:	array	All tables that depend on this table (syntax: catalog.schema.table)
columns:	array	The columns of the schema: name, type, metadata
partitioned-by:	array	The partitioning format of the table
severity:	Severity?	The default severity for this tables tests and checks
tests:	array
schedule:	string	The schedule of the table [expressed as cron]
starting:	string	The first date of the table [expressed by prefixes of RFC 33]
classifiers:	array	An array of classifier references
reclassify:	array	Array of reclassify instructions for changing the attached classifier labels
lineage:	Lineage?	Lineage, a tagged array of column references
location:	string?	Data is at this location
file-format:	FileFormat?	Store table in this format [only for external tables]
with-header:	boolean?	CSV data has a header [only for external tables]
delimiter:	string?	CSV data is separated by this delimiter [only for external tables]
compression:	CompressionType?	Json or CSV data is compressed with this method [only for external tables]
cycle-cut-point:	boolean?	If this table is part of a cyclic dependency then cut the cycle here
source-locations:	array	Table is defined by these .sql and/or .sdf files
sealed:	boolean?	This table is either backed by a create table ddl or by a table definition in yml that is the table’s complete schema
meta:	object	Metadata for this table

​

Block: Classifier

Field	Type	Description
name:	string	The name of the classifier type
description:	string	A description of this classifier type
labels:	array	Named classifier labels
scope:	Scope	Scope of the classifier: table or column
cardinality:	Cardinality	Cardinality of the classifier: zero-or-one, one or zero-or-many
propagate:	boolean	Does the classifier propagate from scope to scope or is it a one scope marker
source-locations:	array	Classifier defined by these set of .sdf files

​

Block: Function

Field	Type	Description
name:	String	The name of the function [syntax: [[catalog.]schema].function]
section:	string	The function category
dialect:	Dialect?	The dialect that provides this function
description:	string	A description of this function
variadic:	Variadic	Arbitrary number of arguments of an common type out of a list of valid types
kind:	FunctionKind	The function kind
parameters:	[Parameter]?	The arguments of this function
optional-parameters:	[OptionalParameter]?	The arguments of this function
returns:	Parameter?	The results of this function (can be a tuple)
constraints:	object	The constraints on generic type bounds
binds:	array	The generic type bounds
volatility:	Volatility	volatility - The volatility of the function.
examples:	array	example - Example use of the function (tuple with input/output)
cross-link:	string	cross-link - link to existing documentation, for example: https://trino.io/docs/current/functions/datetime.html#date_trunc
reclassify:	array	Array of reclassify instructions for changing the attached classifier labels
source-locations:	array	Function defined by these set of .sdf files
implemented-by:	FunctionImplSpec?
special:	boolean	Function can be called without parentheses, e.g. as if it were a constant, e.g. current_date

​

Block: Credential

Field	Type	Description
name:	string	The name of the credential (default = ‘default’)
description:	string?	A description of this credential
source-locations:	[FilePath]?	Credential defined by these set of .sdf files

​

Options

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sdf

Field	Type	Description
type:	string
variant:	SdfAuthVariant	Variant of the credential
headless-creds:	HeadlessCredentials?	Headless Credentials

​

snowflake

Field	Type	Description
type:	string
account-id:	string	The account id of your snowflake account (e.g. <orgname>.<accountname> or <locator>)
username:	string	The user name to connect to snowflake
password:	string?	The password to connect to snowflake (mutually exclusive with private_key_path)
private-key-path:	string?	The path to the private key file for key pair authentication (mutually exclusive with password)
private-key-pem:	string?	The private key in PEM format (mutually exclusive with private_key_path)
private-key-passphrase:	string?	The passphrase for the private key, if it’s encrypted
role:	string?	The role to use for the connection
warehouse:	string?	The warehouse to use for the connection

​

bigquery

Field	Type	Description
type:	string
client-email:	string	The client email of your bigquery service account
private-key:	string	The base64-encoded private key of your bigquery service account
project-id:	string	Project Id

​

aws

Field	Type	Description
type:	string
profile:	string?	The name of th profile to use in the AWS credentials file
default-region:	string?	The default region to use for this profile
role-arn:	string?	The arn of the role to assume
external-id:	string?	The external id to use for the role
use-web-identity:	boolean?	Whether to use a web identity for authentication
access-key-id:	string?	The access key id to use for the connection
secret-access-key:	string?	The secret access key to use for the connection
session-token:	string?	The session token to use for the connection

​

openai

Field	Type	Description
type:	string
api-key:	string	The api key to use for the connection

​

empty

Field	Type	Description
type:	string

​

Block: Environment

Field	Type	Description
name:	String	The name of this workspace (defaults to the workspace directory name if not given) Name must be set for deployment.
description:	string	A description of this workspace
repository:	string	The URL of the workspace source repository (defaults to ‘none’ if no repository is given)
includes:	array	An array of directories and filenames containing .sql and .sdf.yml files
excludes:	array	An array of directories and filenames to be skipped when resolving includes
defaults:	Defaults?	Defaults for this workspace
dependencies:	array	Dependencies of the workspace to other workspaces or to cloud database providers
integrations:	array	The integrations for this environment
vars:	object	A map of named values for setting SQL variables from your environment Ex. -dt: dt, used in SQL as @dt, and in Jinja as
source-locations:	array	Workspace defined by these set of files
preprocessor:	PreprocessorType?	Experimental: This project has jinja
dbt:	DbtConfig?	Configuration for dbt integration

​

Enum: IncludeType

Value	Description
model	Models are .sql files (ddls or queries) used for data transformation.
test	Tests are expectations against the data of models. Uses the sdf-test library by default.
check	Checks are logical expectations expresses as queries against the information schema of the SDF workspace.
report	Reports are informational queries against the information schema of the SDF workspace.
stat	Statistics are informational queries against the data of the models.
resource	Resources are local data files (like parquet, csv, or json) used by models in the workspace.
metadata	[Deprecated] Metadata are .sdf.yml files to add additional metadata.
spec	Specifications are .sdf.yml files to configure your workspace and add additional metadata.
macro	Macros are .jinja files that define reusable SQL code.
seed	Seeds are models created from resources. The sdf local engine enables type checking of seeds independently of providers. Seeds can optionally be uploaded to the remote warehouse.
slt	Slt files are tests that follow sqllogictest format

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Enum: IndexMethod

Value	Description
scan-dbt	undefined
none	File path is not used in figuring out the full names of the tables defined in the file. Catalog and schema are inferred from the SQL statement if possible, or from the defaults section in the workspace configuration. Table name is inferred from the SQL statement if possible or from the name of the file without the extension. To figure out dependencies between tables and files, SDF will parse every file in the corresponding include path. This is the default option
table-name	Table name is inferred from the file name without the extension. Catalog and schema are inferred from the defaults configuration. SDF assumes that a referenced table will reside in the file with the corresponding name. As a result, only the required subset of files is parsed. This option is is fast compared to the default, but it requires catalog and schemas to use the default values
schema-table-name	Table name is inferred from the file name without the extension. Schema is inferred from the directory name in which the file resides. Catalog is inferred from the defaults configuration. SDF assumes that a referenced table will reside in the directory/file with the corresponding schema/table name. As a result, only the required subset of files is parsed. This option is also fast, and it allows the schema to vary based on the directory name, but it still requires catalog to use the default values
catalog-schema-table-name	Table name is inferred from the file name without the extension. Schema is inferred from the directory name in which the file resides. Catalog is inferred from the directory name in which the schema directory resides. Defaults are not used. SDF assumes that a referenced table will reside in the catalog/schema/table file with the corresponding schema/catalog/table names. As a result, only the required subset of files is parsed. This option is also fast, and it provides the most flexibility as catalog, schema and table names can all vary

​

Enum: Dialect

Supported dialects in YAML files

Note: this [Dialect] type is only meant for serializing to and from .sdf.yml files. For internal use, you should almost always use the semantic dialect type ([types::Dialect]) instead.

Note specifically that the lack of a .to_string() method (i.e. [!Display]) on this type is intentional — you must first convert this type to a [types::Dialect], by using either [Dialect::to_semantic_dialect] or [types::Dialect::from], before you can convert it to a string..

Values
snowflake
trino
bigquery
redshift
spark-lp
sdf
databricks

​

Enum: CasingPolicy

Values
preserve
to-upper
to-lower

​

Enum: PreprocessorType

Values
none
jinja
sql-vars
all

​

Enum: Materialization

Value	Description
table	Permanent table; e.g. for Snowflake, it will generate CREATE OR REPLACE TABLE AS ...
transient-table	Transient tables are cost-optimized as the 90 day data retention period is not enforced. They also limit Snowflake time travel support. e.g. for Snowflake, it will generate CREATE OR REPLACE TRANSIENT TABLE AS ...
temporary-table	Temporary table; e.g. for Snowflake, it will generate `CREATE OR REPLACE TEMPORARY TABLE AS …
external-table	Table with pre-existing data; it is not populated by SDF e.g. for Snowflake, it will generate CREATE OR REPLACE EXTERNAL TABLE ...
view	Permanent view (default option); e.g. for Snowflake, it will generate CREATE OR REPLACE VIEW AS ...
materialized-view	Materialized view; e.g. for Snowflake, it will generate CREATE OR REPLACE MATERIALIZED VIEW AS ...
incremental-table	Incremental tables are permanent tables that are gradually populated and not overwritten from scratch during every SDF run. Different SQL statements will be generated depending on whether this table already exists or not. In the latter case, an equivalent of CREATE OR REPLACE TABLE will be generated; in the former case, one of INSERT INTO ..., MERGE ..., or DELETE FROM ..., followed by INSERT INTO ... will be generated depending on the parameters of incremental-options
snapshot-table	Snapshot tables are permanent tables that capture a snapshot of some underlying data at the time of running the query. Like incremental tables, snapshot tables are not recomputed from scratch during every SDF run
recursive-table	Recursive tables are permanent tables whose queries can have self-references. SDF will generate an equivalent of CREATE RECURSIVE TABLE AS .... Note: in Snowflake, recursive tables are not treated specially---a normal CREATE OR REPLACE TABLE AS... is generated for them
other	User defined other materializations, it is up to users to define their own materialization logics

​

Enum: TableCreationFlags

Value	Description
create-new	Attempts to create a new table; fails if the table already exists.
drop-if-exists	Drops the existing table and creates a new one.
skip-if-exists	Skips table creation if the table already exists.
create-or-replace	Replaces the existing table with a new one. Implementation may vary by DBMS.
create-if-not-exists	Creates the table only if it doesn’t already exist.

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Enum: SyncType

Value	Description
always	Synchronizes directory on pull and push
on-pull	Synchronizes directory on every pull
on-push	Synchronizes directory on every push
never	Never synchronizes directory

​

Enum: Severity

Values
warning
error

​

Enum: CompressionType

Value	Description
tar	undefined
bzip2	BZIP2 Compression (.bz2)
gzip	GZIP Compression (.gzip)
none	None, (default)

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Enum: ExcludeType

Value	Description
content	undefined
path	Excludes this path, can be a glob expression

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Enum: IntegrationType

Values
data
metadata
database

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Enum: ProviderType

Values
glue
redshift
snowflake
bigquery
s3
sdf

​

Enum: TablePurpose

Value	Description
report	undefined
model	A regular table
check	A code contract
test	A data contract
stat	A data report
slt	A slt table
system	A SDF System table/view, maintained by the sdf cli
external-system	An External System table/view, maintained by the database system (e.g. Snowflake, Redshift, etc.)

​

Enum: TableOrigin

Values
local
remote

​

Enum: TableLocation

Values
mirror
local
remote
intrinsic

​

Enum: IncrementalStrategy

Values
append
merge
delete+insert

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Enum: OnSchemaChange

Value	Description
fail	Fail when the new schema of an incremental table does not match the old one
append	Keep all the columns of the old incremental table schema while appending the new columns from the new schema. Initialize all the columns that were deleted in the new schema with NULL
sync	Delete all the deleted columns from the incremental table; Append all the new columns

​

Enum: SnapshotStrategy

Values
timestamp
check

​

Enum: CheckColsSpec

Value	Description
cols	A list of column names to be used for checking if a snapshot’s source data set was updated
all	Use all columns to check whether a snapshot’s source data set was updated

​

Enum: FileFormat

Store table data in these formats.

Values
parquet
csv
json

​

Enum: Scope

Values
column
table

​

Enum: Cardinality

Values
zero-or-one
one
zero-or-more

​

Enum: Variadic

Value	Description
non-uniform	undefined
uniform	All arguments have the same types
even-odd	All even arguments have one type, odd arguments have another type
any	Any length of arguments, arguments can be different types

​

Enum: FunctionKind

Values
scalar
aggregate
window
table

​

Enum: Volatility

Value	Description
pure	Pure - An pure function will always return the same output when given the same input.
stable	Stable - A stable function may return different values given the same input across different queries but must return the same value for a given input within a query.
volatile	Volatile - A volatile function may change the return value from evaluation to evaluation. Multiple invocations of a volatile function may return different results when used in the same query.

​

Enum: FunctionImplSpec

Value	Description
builtin	By a built-in primitive in Datafusion. (Being phased out in favor of UDFs.)
rust	By a UDF in the sdf-functions crate.
datafusion	By a UDF in the datafusion crate.
sql	By a CREATE FUNCTION. (Not yet supported for evaluation.)

​

Enum: SdfAuthVariant

Values
interactive
headless
id_token_from_file

​

Nested Elements

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Nested element: IncludePath

Field	Type	Description
path:	string	A filepath
type:	IncludeType	Type of included artifacts: model	test	stats	metadata	resource
index:	IndexMethod	Index method for this include path: scan	table	schema-table	catalog-schema-table
defaults:	Defaults?	Defaults for files on this path

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Nested element: Defaults

Field	Type	Description
environment:	String?	The default environment (can only be set on the level of the workspace)
dialect:	Dialect?	The dialect of this environment. If not set, defaults to trino
casing-policy:	CasingPolicy?	Case normalization policy for names
preprocessor:	PreprocessorType?	The preprocessor for this environment. If not set, defaults to local
catalog:	String?	Defines a default catalog. If not set, defaults to the (catalog/workspace) name in an outer scope
schema:	String?	Defines a default schema, If not set, defaults to the schema name in an outer scope, if not set, defaults to ‘pub’
materialization:	Materialization?	Defines the default materialization, if not set defaults to materialization in outer scope, if not set defaults to base-table
creation-flag:	TableCreationFlags?	Defines table creation flags, defaults to if not set
utils-lib:	string?	The default utils library, if set overrides sdf_utils
test-lib:	string?	The default test library, if set overrides sdf_test
materialization-lib:	string?	The default materialization library, if set overrides sdf_materialization
linter:	string?	The named lint rule set, uses defaults (from sdftarget/<environment>/lint.sdf.yml) if not set
index-method:	IndexMethod?	The default index for this tables
include-type:	IncludeType?	The default index for this tables
sync-method:	SyncType?	The default index for this tables
severity:	Severity?	The default severity for this tables tests and checks
csv-has-header:	boolean?	CSV data has a header [only for external tables]
csv-delimiter:	string?	CSV data is separated by this delimiter [only for external tables]
csv-compression:	CompressionType?	Json or CSV data is compressed with this method [only for external tables]

​

Nested element: String

Field	Type	Description

​

Nested element: ExcludePath

Field	Type	Description
path:	string	A filepath
exclude-type:	ExcludeType?	Type of excluded artifacts

​

Nested element: Dependency

Field	Type	Description
name:	String
path:	string?	The relative path from this workspace to the referenced workspace, for a Git repo, from the root of the depot to the workspace
environment:	string?	The chosen workspace environment (none means default)
target:	string?	The chosen workspace target (none means default)
git:	string?	The Git repo
rev:	string?	the Git revision (choose only one of the fields: rev, branch, tag)
branch:	string?	the Git branch (choose only one of the fields: rev, branch, tag)
tag:	string?	the Git tag (choose only one of the fields: rev, branch, tag)
imports:	array	Which models, reports, tests, checks etc. to include from the dependency

​

Nested element: Integration

Field	Type	Description
type:	IntegrationType	The type of the integration [e.g.: database, metadata, data]
provider:	ProviderType	The type of the provider [e.g.: snowflake, redshift, s3]
credential:	string?	Credential identifier for this provider
cluster-identifier:	string?	The cluster identifier for redshift server
batch-size:	integer?	The size of the batch when querying the provider
sources:	array	A list of (possibly remote) sources to read, matched in order, so write specific pattern before more general patterns
targets:	array	A list of (possibly remote) targets to build, matched in order, so write specific pattern before more general patterns, source patterns are excluded
buckets:	array	A list of remote buckets to target
output-location:	string?	The remote output location of the integration

​

Nested element: SourcePattern

Field	Type	Description
pattern:	string	A source that can be read. Sources must be a three part names with globs, eg. ..* matches all catalogs, schema and table in scope
time-travel-qualifier:	string?	Time travel qualifier expression (e.g. undefinedAT (TIMESTAMP => {{ SOME_TIMESTAMP }})undefinedundefined)
preload:	boolean?	Whether to preload the source
rename-from:	string?	Renames sources when searching in the remote, the ith {i} matches the ith * of the name, so to prepend all catalogs,schema,table with _, use "_{1}._{2}._{3}“

​

Nested element: TargetPattern

Field	Type	Description
pattern:	string?	A pattern must be a three part names with globs, eg. ..* matches all catalogs, schema and table in scope
patterns:	array	A list of patterns. A pattern must be a three part names with globs, eg. ..* matches all catalogs, schema and table in scope
preload:	boolean?	Whether to preload the target
rename-as:	string?	Renames targets, the ith {i} matches the ith * of the name, so to prepend all catalogs,schema,table with _, use "_{1}._{2}._{3}“

​

Nested element: DataBucket

Field	Type	Description
uri:	string	The uri of the bucket
region:	string?	The region of the bucket

​

Nested element: FilePath

Field	Type	Description
path:	string	A filepath

​

Nested element: SystemTime

Field	Type	Description
secs_since_epoch:	integer
nanos_since_epoch:	integer

​

Nested element: Constant

Field	Type	Description

​

Nested element: DbtConfig

Field	Type	Description
enabled:	boolean	Whether the dbt integration is enabled
project-dir:	string?	Dbt Project Directory
target-dir:	string?	The dbt target directory for the project
profile-dir:	string?	The directory where dbt profiles are stored
profile:	String?	The dbt profile to use
target:	String?	The dbt target for the profile
auto-parse:	boolean	Automatically Run Parse in-between commands (default: true)
disable-introspection:	boolean	Disable introspection (default: false)

​

Nested element: IncrementalOptions

Field	Type	Description
strategy:	IncrementalStrategy	Incremental strategy; may be one of undefinedappendundefined, undefinedmergeundefined, or undefineddelete+insertundefined
unique-key:	string?	Expression used for identifying records in Merge and Delete+Insert strategies; May be a column name or an expression combining multiple columns. If left unspecified, Merge and Delete+Insert strategies behave the same as Append
merge-update-columns:	array	List of column names to be updated as part of Merge strategy; Only one of merge_update_columns or merge_exclude_columns may be specified
merge-exclude-columns:	array	List of column names to exclude from updating as part of Merge strategy; Only one of merge_update_columns or merge_exclude_columns may be specified
on-schema-change:	OnSchemaChange?	Method for reacting to changing schema in the source of the incremental table Possible values are undefinedfailundefined, undefinedappendundefined, and undefinedsyncundefined. If left unspecified, the default behavior is to ignore the change and possibly error out if the schema change is incompatible. undefinedfailundefined causes a failure whenever any deviation in the schema of the source is detected; undefinedappendundefined adds new columns but does not delete the columns removed from the source; undefinedsyncundefined adds new columns and deletess the columns removed from the source;
compact-mode-warehouse:	string?	Warehouse to use in the incremental mode

​

Nested element: SnapshotOptions

Field	Type	Description
strategy:	SnapshotStrategy	Snapshot strategy; may be one of undefinedtimestampundefined (default), or undefinedcheckundefined
unique-key:	string	Expression used for identifying records that will be updated according to the snapshot strategiy; May be a column name or an expression combining multiple columns
updated-at:	String?	Name of the timestamp column used to identify the last update time This option is only required for the undefinedtimestampundefined snapshot strategy
check-cols:	CheckColsSpec?	Specification of which columns to check for change (may be a list of column names or undefinedallundefined) This option is only required for the undefinedcheckundefined snapshot strategy
compact-mode-warehouse:	string?	Warehouse to use in the snapshot mode

​

Nested element: Column

Field	Type	Description
name:	String	The name of the column
description:	string	A description of this column
datatype:	string?	The type of this column
classifiers:	array	An array of classifier references
lineage:	Lineage?	Lineage, a tagged array of column references
forward-lineage:	Lineage?	Forward Lineage, the columns that this column is used to compute
reclassify:	array	Array of reclassify instructions for changing the attached classifier labels
samples:	array	An array of representative literals of this column [experimental!]
default-severity:	Severity	The default severity for this tables tests and checks
tests:	array
span:	Span?

​

Nested element: Lineage

Field	Type	Description
copy:	array	The output column is computed by copying these upstream columns
modify:	array	The output column is computed by transforming these upstream columns
scan:	array	These upstream columns are indirectly used to produce the output (e.g. in WHERE or GROUP BY)
apply:	array	These functions were used to produce the output column

​

Nested element: Reclassify

Field	Type	Description
to:	string?	Target classifier
from:	string?	Expected source classifier

​

Nested element: Constraint

Field	Type	Description
expect:	string	The constraint macro: must have the form lib.macro(args,..), where lib is any of the libs in scope, std is available by default
severity:	Severity?	The severity of this constraint

​

Nested element: Span

Field	Type	Description
start:	CodeLocation
stop:	CodeLocation

​

Nested element: CodeLocation

Field	Type	Description
line:	integer
col:	integer
file:	string
expanded:	CodeLocation?

​

Nested element: Partition

Field	Type	Description
name:	String	The name of the partition column
description:	string?	A description of the partition column
format:	string?	The format of the partition column [use strftime format for date/time] See (guide)[https://docs.sdf.com/guide/schedules]

​

Nested element: Label

Field	Type	Description
name:	string	The name of the label, use ”*” to allow arbitrary strings as labels
description:	string?	A description of this classifier element

​

Nested element: Parameter

Field	Type	Description
name:	String?	The name of the parameter
description:	string?	A description of this parameter
datatype:	string?	The datatype of this parameter
classifier:	[string]?	An array of classifier references
constant:	string?	The required constant value of this parameter
identifiers:	[string]?	The parameter may appear as identifier, without quote

​

Nested element: OptionalParameter

Field	Type	Description
name:	String	The name of the parameter
description:	string?	A description of this parameter
datatype:	string	The datatype of this parameter
classifier:	[string]?	An array of classifier references
constant:	string?	The required constant value of this parameter
identifiers:	[string]?	The parameter may appear as identifier, without quote

​

Nested element: TypeBound

Field	Type	Description
type-variable:	String
datatypes:	array

​

Nested element: Example

Field	Type	Description
input:	string	The sql string corresponding to the input of this example
output:	string	The output corresponding to running the input string

​

Nested element: RustFunctionSpec

Field	Type	Description
name:	string?	The name attribute of the implementing UDF. None indicates the UDF is named the same as the function.

​

Nested element: DataFusionSpec

Field	Type	Description
udf:	String?	The name attribute of the implementing UDF. None indicates the UDF is named the same as the function.

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Nested element: Config

Field	Type	Description
name:	string	The name of the configuration section
description:	string?	A description of this configuration section
properties:	object?

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Nested element: HeadlessCredentials

Field	Type	Description
access_key:	string
secret_key:	string