Google Cloud Native v0.32.0, Nov 29 23

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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.datamigration/v1.getMappingRule

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

Using getMappingRule

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

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function getMappingRule(args: GetMappingRuleArgs, opts?: InvokeOptions): Promise<GetMappingRuleResult>
function getMappingRuleOutput(args: GetMappingRuleOutputArgs, opts?: InvokeOptions): Output<GetMappingRuleResult>

def get_mapping_rule(conversion_workspace_id: Optional[str] = None,
                     location: Optional[str] = None,
                     mapping_rule_id: Optional[str] = None,
                     project: Optional[str] = None,
                     opts: Optional[InvokeOptions] = None) -> GetMappingRuleResult
def get_mapping_rule_output(conversion_workspace_id: Optional[pulumi.Input[str]] = None,
                     location: Optional[pulumi.Input[str]] = None,
                     mapping_rule_id: Optional[pulumi.Input[str]] = None,
                     project: Optional[pulumi.Input[str]] = None,
                     opts: Optional[InvokeOptions] = None) -> Output[GetMappingRuleResult]

func LookupMappingRule(ctx *Context, args *LookupMappingRuleArgs, opts ...InvokeOption) (*LookupMappingRuleResult, error)
func LookupMappingRuleOutput(ctx *Context, args *LookupMappingRuleOutputArgs, opts ...InvokeOption) LookupMappingRuleResultOutput

> Note: This function is named LookupMappingRule in the Go SDK.

public static class GetMappingRule 
{
    public static Task<GetMappingRuleResult> InvokeAsync(GetMappingRuleArgs args, InvokeOptions? opts = null)
    public static Output<GetMappingRuleResult> Invoke(GetMappingRuleInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetMappingRuleResult> getMappingRule(GetMappingRuleArgs args, InvokeOptions options)
public static Output<GetMappingRuleResult> getMappingRule(GetMappingRuleArgs args, InvokeOptions options)

fn::invoke:
  function: google-native:datamigration/v1:getMappingRule
  arguments:
    # arguments dictionary

The following arguments are supported:

ConversionWorkspaceId string
Location string
MappingRuleId string
Project string

ConversionWorkspaceId string
Location string
MappingRuleId string
Project string

conversionWorkspaceId String
location String
mappingRuleId String
project String

conversionWorkspaceId string
location string
mappingRuleId string
project string

conversion_workspace_id str
location str
mapping_rule_id str
project str

conversionWorkspaceId String
location String
mappingRuleId String
project String

getMappingRule Result

The following output properties are available:

ConditionalColumnSetValue Pulumi.GoogleNative.Datamigration.V1.Outputs.ConditionalColumnSetValueResponse: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
ConvertRowidColumn Pulumi.GoogleNative.Datamigration.V1.Outputs.ConvertRowIdToColumnResponse: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
DisplayName string: Optional. A human readable name
EntityMove Pulumi.GoogleNative.Datamigration.V1.Outputs.EntityMoveResponse: Optional. Rule to specify how multiple entities should be relocated into a different schema.
Filter Pulumi.GoogleNative.Datamigration.V1.Outputs.MappingRuleFilterResponse: The rule filter
FilterTableColumns Pulumi.GoogleNative.Datamigration.V1.Outputs.FilterTableColumnsResponse: Optional. Rule to specify the list of columns to include or exclude from a table.
MultiColumnDataTypeChange Pulumi.GoogleNative.Datamigration.V1.Outputs.MultiColumnDatatypeChangeResponse: Optional. Rule to specify how multiple columns should be converted to a different data type.
MultiEntityRename Pulumi.GoogleNative.Datamigration.V1.Outputs.MultiEntityRenameResponse: Optional. Rule to specify how multiple entities should be renamed.
Name string: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
RevisionCreateTime string: The timestamp that the revision was created.
RevisionId string: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
RuleOrder string: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
RuleScope string: The rule scope
SetTablePrimaryKey Pulumi.GoogleNative.Datamigration.V1.Outputs.SetTablePrimaryKeyResponse: Optional. Rule to specify the primary key for a table
SingleColumnChange Pulumi.GoogleNative.Datamigration.V1.Outputs.SingleColumnChangeResponse: Optional. Rule to specify how a single column is converted.
SingleEntityRename Pulumi.GoogleNative.Datamigration.V1.Outputs.SingleEntityRenameResponse: Optional. Rule to specify how a single entity should be renamed.
SinglePackageChange Pulumi.GoogleNative.Datamigration.V1.Outputs.SinglePackageChangeResponse: Optional. Rule to specify how a single package is converted.
SourceSqlChange Pulumi.GoogleNative.Datamigration.V1.Outputs.SourceSqlChangeResponse: Optional. Rule to change the sql code for an entity, for example, function, procedure.
State string: Optional. The mapping rule state

ConditionalColumnSetValue ConditionalColumnSetValueResponse: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
ConvertRowidColumn ConvertRowIdToColumnResponse: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
DisplayName string: Optional. A human readable name
EntityMove EntityMoveResponse: Optional. Rule to specify how multiple entities should be relocated into a different schema.
Filter MappingRuleFilterResponse: The rule filter
FilterTableColumns FilterTableColumnsResponse: Optional. Rule to specify the list of columns to include or exclude from a table.
MultiColumnDataTypeChange MultiColumnDatatypeChangeResponse: Optional. Rule to specify how multiple columns should be converted to a different data type.
MultiEntityRename MultiEntityRenameResponse: Optional. Rule to specify how multiple entities should be renamed.
Name string: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
RevisionCreateTime string: The timestamp that the revision was created.
RevisionId string: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
RuleOrder string: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
RuleScope string: The rule scope
SetTablePrimaryKey SetTablePrimaryKeyResponse: Optional. Rule to specify the primary key for a table
SingleColumnChange SingleColumnChangeResponse: Optional. Rule to specify how a single column is converted.
SingleEntityRename SingleEntityRenameResponse: Optional. Rule to specify how a single entity should be renamed.
SinglePackageChange SinglePackageChangeResponse: Optional. Rule to specify how a single package is converted.
SourceSqlChange SourceSqlChangeResponse: Optional. Rule to change the sql code for an entity, for example, function, procedure.
State string: Optional. The mapping rule state

conditionalColumnSetValue ConditionalColumnSetValueResponse: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
convertRowidColumn ConvertRowIdToColumnResponse: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
displayName String: Optional. A human readable name
entityMove EntityMoveResponse: Optional. Rule to specify how multiple entities should be relocated into a different schema.
filter MappingRuleFilterResponse: The rule filter
filterTableColumns FilterTableColumnsResponse: Optional. Rule to specify the list of columns to include or exclude from a table.
multiColumnDataTypeChange MultiColumnDatatypeChangeResponse: Optional. Rule to specify how multiple columns should be converted to a different data type.
multiEntityRename MultiEntityRenameResponse: Optional. Rule to specify how multiple entities should be renamed.
name String: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
revisionCreateTime String: The timestamp that the revision was created.
revisionId String: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
ruleOrder String: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
ruleScope String: The rule scope
setTablePrimaryKey SetTablePrimaryKeyResponse: Optional. Rule to specify the primary key for a table
singleColumnChange SingleColumnChangeResponse: Optional. Rule to specify how a single column is converted.
singleEntityRename SingleEntityRenameResponse: Optional. Rule to specify how a single entity should be renamed.
singlePackageChange SinglePackageChangeResponse: Optional. Rule to specify how a single package is converted.
sourceSqlChange SourceSqlChangeResponse: Optional. Rule to change the sql code for an entity, for example, function, procedure.
state String: Optional. The mapping rule state

conditionalColumnSetValue ConditionalColumnSetValueResponse: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
convertRowidColumn ConvertRowIdToColumnResponse: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
displayName string: Optional. A human readable name
entityMove EntityMoveResponse: Optional. Rule to specify how multiple entities should be relocated into a different schema.
filter MappingRuleFilterResponse: The rule filter
filterTableColumns FilterTableColumnsResponse: Optional. Rule to specify the list of columns to include or exclude from a table.
multiColumnDataTypeChange MultiColumnDatatypeChangeResponse: Optional. Rule to specify how multiple columns should be converted to a different data type.
multiEntityRename MultiEntityRenameResponse: Optional. Rule to specify how multiple entities should be renamed.
name string: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
revisionCreateTime string: The timestamp that the revision was created.
revisionId string: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
ruleOrder string: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
ruleScope string: The rule scope
setTablePrimaryKey SetTablePrimaryKeyResponse: Optional. Rule to specify the primary key for a table
singleColumnChange SingleColumnChangeResponse: Optional. Rule to specify how a single column is converted.
singleEntityRename SingleEntityRenameResponse: Optional. Rule to specify how a single entity should be renamed.
singlePackageChange SinglePackageChangeResponse: Optional. Rule to specify how a single package is converted.
sourceSqlChange SourceSqlChangeResponse: Optional. Rule to change the sql code for an entity, for example, function, procedure.
state string: Optional. The mapping rule state

conditional_column_set_value ConditionalColumnSetValueResponse: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
convert_rowid_column ConvertRowIdToColumnResponse: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
display_name str: Optional. A human readable name
entity_move EntityMoveResponse: Optional. Rule to specify how multiple entities should be relocated into a different schema.
filter MappingRuleFilterResponse: The rule filter
filter_table_columns FilterTableColumnsResponse: Optional. Rule to specify the list of columns to include or exclude from a table.
multi_column_data_type_change MultiColumnDatatypeChangeResponse: Optional. Rule to specify how multiple columns should be converted to a different data type.
multi_entity_rename MultiEntityRenameResponse: Optional. Rule to specify how multiple entities should be renamed.
name str: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
revision_create_time str: The timestamp that the revision was created.
revision_id str: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
rule_order str: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
rule_scope str: The rule scope
set_table_primary_key SetTablePrimaryKeyResponse: Optional. Rule to specify the primary key for a table
single_column_change SingleColumnChangeResponse: Optional. Rule to specify how a single column is converted.
single_entity_rename SingleEntityRenameResponse: Optional. Rule to specify how a single entity should be renamed.
single_package_change SinglePackageChangeResponse: Optional. Rule to specify how a single package is converted.
source_sql_change SourceSqlChangeResponse: Optional. Rule to change the sql code for an entity, for example, function, procedure.
state str: Optional. The mapping rule state

conditionalColumnSetValue Property Map: Optional. Rule to specify how the data contained in a column should be transformed (such as trimmed, rounded, etc) provided that the data meets certain criteria.
convertRowidColumn Property Map: Optional. Rule to specify how multiple tables should be converted with an additional rowid column.
displayName String: Optional. A human readable name
entityMove Property Map: Optional. Rule to specify how multiple entities should be relocated into a different schema.
filter Property Map: The rule filter
filterTableColumns Property Map: Optional. Rule to specify the list of columns to include or exclude from a table.
multiColumnDataTypeChange Property Map: Optional. Rule to specify how multiple columns should be converted to a different data type.
multiEntityRename Property Map: Optional. Rule to specify how multiple entities should be renamed.
name String: Full name of the mapping rule resource, in the form of: projects/{project}/locations/{location}/conversionWorkspaces/{set}/mappingRule/{rule}.
revisionCreateTime String: The timestamp that the revision was created.
revisionId String: The revision ID of the mapping rule. A new revision is committed whenever the mapping rule is changed in any way. The format is an 8-character hexadecimal string.
ruleOrder String: The order in which the rule is applied. Lower order rules are applied before higher value rules so they may end up being overridden.
ruleScope String: The rule scope
setTablePrimaryKey Property Map: Optional. Rule to specify the primary key for a table
singleColumnChange Property Map: Optional. Rule to specify how a single column is converted.
singleEntityRename Property Map: Optional. Rule to specify how a single entity should be renamed.
singlePackageChange Property Map: Optional. Rule to specify how a single package is converted.
sourceSqlChange Property Map: Optional. Rule to change the sql code for an entity, for example, function, procedure.
state String: Optional. The mapping rule state

Supporting Types

ApplyHashResponse

UuidFromBytes Pulumi.GoogleNative.Datamigration.V1.Inputs.EmptyResponse: Optional. Generate UUID from the data's byte array

UuidFromBytes EmptyResponse: Optional. Generate UUID from the data's byte array

uuidFromBytes EmptyResponse: Optional. Generate UUID from the data's byte array

uuidFromBytes EmptyResponse: Optional. Generate UUID from the data's byte array

uuid_from_bytes EmptyResponse: Optional. Generate UUID from the data's byte array

uuidFromBytes Property Map: Optional. Generate UUID from the data's byte array

AssignSpecificValueResponse

Value string: Specific value to be assigned

Value string: Specific value to be assigned

value String: Specific value to be assigned

value string: Specific value to be assigned

value str: Specific value to be assigned

value String: Specific value to be assigned

ConditionalColumnSetValueResponse

CustomFeatures Dictionary<string, string>: Optional. Custom engine specific features.
SourceNumericFilter Pulumi.GoogleNative.Datamigration.V1.Inputs.SourceNumericFilterResponse: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
SourceTextFilter Pulumi.GoogleNative.Datamigration.V1.Inputs.SourceTextFilterResponse: Optional. Optional filter on source column length. Used for text based data types like varchar.
ValueTransformation Pulumi.GoogleNative.Datamigration.V1.Inputs.ValueTransformationResponse: Description of data transformation during migration.

CustomFeatures map[string]string: Optional. Custom engine specific features.
SourceNumericFilter SourceNumericFilterResponse: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
SourceTextFilter SourceTextFilterResponse: Optional. Optional filter on source column length. Used for text based data types like varchar.
ValueTransformation ValueTransformationResponse: Description of data transformation during migration.

customFeatures Map<String,String>: Optional. Custom engine specific features.
sourceNumericFilter SourceNumericFilterResponse: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
sourceTextFilter SourceTextFilterResponse: Optional. Optional filter on source column length. Used for text based data types like varchar.
valueTransformation ValueTransformationResponse: Description of data transformation during migration.

customFeatures {[key: string]: string}: Optional. Custom engine specific features.
sourceNumericFilter SourceNumericFilterResponse: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
sourceTextFilter SourceTextFilterResponse: Optional. Optional filter on source column length. Used for text based data types like varchar.
valueTransformation ValueTransformationResponse: Description of data transformation during migration.

custom_features Mapping[str, str]: Optional. Custom engine specific features.
source_numeric_filter SourceNumericFilterResponse: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
source_text_filter SourceTextFilterResponse: Optional. Optional filter on source column length. Used for text based data types like varchar.
value_transformation ValueTransformationResponse: Description of data transformation during migration.

customFeatures Map<String>: Optional. Custom engine specific features.
sourceNumericFilter Property Map: Optional. Optional filter on source column precision and scale. Used for fixed point numbers such as NUMERIC/NUMBER data types.
sourceTextFilter Property Map: Optional. Optional filter on source column length. Used for text based data types like varchar.
valueTransformation Property Map: Description of data transformation during migration.

ConvertRowIdToColumnResponse

OnlyIfNoPrimaryKey bool: Only work on tables without primary key defined

OnlyIfNoPrimaryKey bool: Only work on tables without primary key defined

onlyIfNoPrimaryKey Boolean: Only work on tables without primary key defined

onlyIfNoPrimaryKey boolean: Only work on tables without primary key defined

only_if_no_primary_key bool: Only work on tables without primary key defined

onlyIfNoPrimaryKey Boolean: Only work on tables without primary key defined

DoubleComparisonFilterResponse

Value double: Double compare value to be used
ValueComparison string: Relation between source value and compare value

Value float64: Double compare value to be used
ValueComparison string: Relation between source value and compare value

value Double: Double compare value to be used
valueComparison String: Relation between source value and compare value

value number: Double compare value to be used
valueComparison string: Relation between source value and compare value

value float: Double compare value to be used
value_comparison str: Relation between source value and compare value

value Number: Double compare value to be used
valueComparison String: Relation between source value and compare value

EntityMoveResponse

NewSchema string: The new schema

NewSchema string: The new schema

newSchema String: The new schema

newSchema string: The new schema

new_schema str: The new schema

newSchema String: The new schema

FilterTableColumnsResponse

ExcludeColumns List<string>: Optional. List of columns to be excluded for a particular table.
IncludeColumns List<string>: Optional. List of columns to be included for a particular table.

ExcludeColumns []string: Optional. List of columns to be excluded for a particular table.
IncludeColumns []string: Optional. List of columns to be included for a particular table.

excludeColumns List<String>: Optional. List of columns to be excluded for a particular table.
includeColumns List<String>: Optional. List of columns to be included for a particular table.

excludeColumns string[]: Optional. List of columns to be excluded for a particular table.
includeColumns string[]: Optional. List of columns to be included for a particular table.

exclude_columns Sequence[str]: Optional. List of columns to be excluded for a particular table.
include_columns Sequence[str]: Optional. List of columns to be included for a particular table.

excludeColumns List<String>: Optional. List of columns to be excluded for a particular table.
includeColumns List<String>: Optional. List of columns to be included for a particular table.

IntComparisonFilterResponse

Value string: Integer compare value to be used
ValueComparison string: Relation between source value and compare value

Value string: Integer compare value to be used
ValueComparison string: Relation between source value and compare value

value String: Integer compare value to be used
valueComparison String: Relation between source value and compare value

value string: Integer compare value to be used
valueComparison string: Relation between source value and compare value

value str: Integer compare value to be used
value_comparison str: Relation between source value and compare value

value String: Integer compare value to be used
valueComparison String: Relation between source value and compare value

MappingRuleFilterResponse

Entities List<string>: Optional. The rule should be applied to specific entities defined by their fully qualified names.
EntityNameContains string: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
EntityNamePrefix string: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
EntityNameSuffix string: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
ParentEntity string: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

Entities []string: Optional. The rule should be applied to specific entities defined by their fully qualified names.
EntityNameContains string: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
EntityNamePrefix string: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
EntityNameSuffix string: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
ParentEntity string: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

entities List<String>: Optional. The rule should be applied to specific entities defined by their fully qualified names.
entityNameContains String: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
entityNamePrefix String: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
entityNameSuffix String: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
parentEntity String: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

entities string[]: Optional. The rule should be applied to specific entities defined by their fully qualified names.
entityNameContains string: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
entityNamePrefix string: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
entityNameSuffix string: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
parentEntity string: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

entities Sequence[str]: Optional. The rule should be applied to specific entities defined by their fully qualified names.
entity_name_contains str: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
entity_name_prefix str: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
entity_name_suffix str: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
parent_entity str: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

entities List<String>: Optional. The rule should be applied to specific entities defined by their fully qualified names.
entityNameContains String: Optional. The rule should be applied to entities whose non-qualified name contains the given string.
entityNamePrefix String: Optional. The rule should be applied to entities whose non-qualified name starts with the given prefix.
entityNameSuffix String: Optional. The rule should be applied to entities whose non-qualified name ends with the given suffix.
parentEntity String: Optional. The rule should be applied to entities whose parent entity (fully qualified name) matches the given value. For example, if the rule applies to a table entity, the expected value should be a schema (schema). If the rule applies to a column or index entity, the expected value can be either a schema (schema) or a table (schema.table)

MultiColumnDatatypeChangeResponse

CustomFeatures Dictionary<string, string>: Optional. Custom engine specific features.
NewDataType string: New data type.
OverrideFractionalSecondsPrecision int: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
OverrideLength string: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
OverridePrecision int: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
OverrideScale int: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
SourceDataTypeFilter string: Filter on source data type.
SourceNumericFilter Pulumi.GoogleNative.Datamigration.V1.Inputs.SourceNumericFilterResponse: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
SourceTextFilter Pulumi.GoogleNative.Datamigration.V1.Inputs.SourceTextFilterResponse: Optional. Filter for text-based data types like varchar.

CustomFeatures map[string]string: Optional. Custom engine specific features.
NewDataType string: New data type.
OverrideFractionalSecondsPrecision int: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
OverrideLength string: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
OverridePrecision int: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
OverrideScale int: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
SourceDataTypeFilter string: Filter on source data type.
SourceNumericFilter SourceNumericFilterResponse: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
SourceTextFilter SourceTextFilterResponse: Optional. Filter for text-based data types like varchar.

customFeatures Map<String,String>: Optional. Custom engine specific features.
newDataType String: New data type.
overrideFractionalSecondsPrecision Integer: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
overrideLength String: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
overridePrecision Integer: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
overrideScale Integer: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
sourceDataTypeFilter String: Filter on source data type.
sourceNumericFilter SourceNumericFilterResponse: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
sourceTextFilter SourceTextFilterResponse: Optional. Filter for text-based data types like varchar.

customFeatures {[key: string]: string}: Optional. Custom engine specific features.
newDataType string: New data type.
overrideFractionalSecondsPrecision number: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
overrideLength string: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
overridePrecision number: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
overrideScale number: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
sourceDataTypeFilter string: Filter on source data type.
sourceNumericFilter SourceNumericFilterResponse: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
sourceTextFilter SourceTextFilterResponse: Optional. Filter for text-based data types like varchar.

custom_features Mapping[str, str]: Optional. Custom engine specific features.
new_data_type str: New data type.
override_fractional_seconds_precision int: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
override_length str: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
override_precision int: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
override_scale int: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
source_data_type_filter str: Filter on source data type.
source_numeric_filter SourceNumericFilterResponse: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
source_text_filter SourceTextFilterResponse: Optional. Filter for text-based data types like varchar.

customFeatures Map<String>: Optional. Custom engine specific features.
newDataType String: New data type.
overrideFractionalSecondsPrecision Number: Optional. Column fractional seconds precision - used only for timestamp based datatypes - if not specified and relevant uses the source column fractional seconds precision.
overrideLength String: Optional. Column length - e.g. varchar (50) - if not specified and relevant uses the source column length.
overridePrecision Number: Optional. Column precision - when relevant - if not specified and relevant uses the source column precision.
overrideScale Number: Optional. Column scale - when relevant - if not specified and relevant uses the source column scale.
sourceDataTypeFilter String: Filter on source data type.
sourceNumericFilter Property Map: Optional. Filter for fixed point number data types such as NUMERIC/NUMBER.
sourceTextFilter Property Map: Optional. Filter for text-based data types like varchar.

MultiEntityRenameResponse

NewNamePattern string: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
SourceNameTransformation string: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

NewNamePattern string: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
SourceNameTransformation string: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

newNamePattern String: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
sourceNameTransformation String: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

newNamePattern string: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
sourceNameTransformation string: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

new_name_pattern str: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
source_name_transformation str: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

newNamePattern String: Optional. The pattern used to generate the new entity's name. This pattern must include the characters '{name}', which will be replaced with the name of the original entity. For example, the pattern 't_{name}' for an entity name jobs would be converted to 't_jobs'. If unspecified, the default value for this field is '{name}'
sourceNameTransformation String: Optional. Additional transformation that can be done on the source entity name before it is being used by the new_name_pattern, for example lower case. If no transformation is desired, use NO_TRANSFORMATION

RoundToScaleResponse

Scale int: Scale value to be used

Scale int: Scale value to be used

scale Integer: Scale value to be used

scale number: Scale value to be used

scale int: Scale value to be used

scale Number: Scale value to be used

SetTablePrimaryKeyResponse

PrimaryKey string: Optional. Name for the primary key
PrimaryKeyColumns List<string>: List of column names for the primary key

PrimaryKey string: Optional. Name for the primary key
PrimaryKeyColumns []string: List of column names for the primary key

primaryKey String: Optional. Name for the primary key
primaryKeyColumns List<String>: List of column names for the primary key

primaryKey string: Optional. Name for the primary key
primaryKeyColumns string[]: List of column names for the primary key

primary_key str: Optional. Name for the primary key
primary_key_columns Sequence[str]: List of column names for the primary key

primaryKey String: Optional. Name for the primary key
primaryKeyColumns List<String>: List of column names for the primary key

SingleColumnChangeResponse

Array bool: Optional. Is the column of array type.
ArrayLength int: Optional. The length of the array, only relevant if the column type is an array.
AutoGenerated bool: Optional. Is the column auto-generated/identity.
Charset string: Optional. Charset override - instead of table level charset.
Collation string: Optional. Collation override - instead of table level collation.
Comment string: Optional. Comment associated with the column.
CustomFeatures Dictionary<string, string>: Optional. Custom engine specific features.
DataType string: Optional. Column data type name.
FractionalSecondsPrecision int: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
Length string: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
Nullable bool: Optional. Is the column nullable.
Precision int: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
Scale int: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
SetValues List<string>: Optional. Specifies the list of values allowed in the column.
Udt bool: Optional. Is the column a UDT (User-defined Type).

Array bool: Optional. Is the column of array type.
ArrayLength int: Optional. The length of the array, only relevant if the column type is an array.
AutoGenerated bool: Optional. Is the column auto-generated/identity.
Charset string: Optional. Charset override - instead of table level charset.
Collation string: Optional. Collation override - instead of table level collation.
Comment string: Optional. Comment associated with the column.
CustomFeatures map[string]string: Optional. Custom engine specific features.
DataType string: Optional. Column data type name.
FractionalSecondsPrecision int: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
Length string: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
Nullable bool: Optional. Is the column nullable.
Precision int: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
Scale int: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
SetValues []string: Optional. Specifies the list of values allowed in the column.
Udt bool: Optional. Is the column a UDT (User-defined Type).

array Boolean: Optional. Is the column of array type.
arrayLength Integer: Optional. The length of the array, only relevant if the column type is an array.
autoGenerated Boolean: Optional. Is the column auto-generated/identity.
charset String: Optional. Charset override - instead of table level charset.
collation String: Optional. Collation override - instead of table level collation.
comment String: Optional. Comment associated with the column.
customFeatures Map<String,String>: Optional. Custom engine specific features.
dataType String: Optional. Column data type name.
fractionalSecondsPrecision Integer: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
length String: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
nullable Boolean: Optional. Is the column nullable.
precision Integer: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
scale Integer: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
setValues List<String>: Optional. Specifies the list of values allowed in the column.
udt Boolean: Optional. Is the column a UDT (User-defined Type).

array boolean: Optional. Is the column of array type.
arrayLength number: Optional. The length of the array, only relevant if the column type is an array.
autoGenerated boolean: Optional. Is the column auto-generated/identity.
charset string: Optional. Charset override - instead of table level charset.
collation string: Optional. Collation override - instead of table level collation.
comment string: Optional. Comment associated with the column.
customFeatures {[key: string]: string}: Optional. Custom engine specific features.
dataType string: Optional. Column data type name.
fractionalSecondsPrecision number: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
length string: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
nullable boolean: Optional. Is the column nullable.
precision number: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
scale number: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
setValues string[]: Optional. Specifies the list of values allowed in the column.
udt boolean: Optional. Is the column a UDT (User-defined Type).

array bool: Optional. Is the column of array type.
array_length int: Optional. The length of the array, only relevant if the column type is an array.
auto_generated bool: Optional. Is the column auto-generated/identity.
charset str: Optional. Charset override - instead of table level charset.
collation str: Optional. Collation override - instead of table level collation.
comment str: Optional. Comment associated with the column.
custom_features Mapping[str, str]: Optional. Custom engine specific features.
data_type str: Optional. Column data type name.
fractional_seconds_precision int: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
length str: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
nullable bool: Optional. Is the column nullable.
precision int: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
scale int: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
set_values Sequence[str]: Optional. Specifies the list of values allowed in the column.
udt bool: Optional. Is the column a UDT (User-defined Type).

array Boolean: Optional. Is the column of array type.
arrayLength Number: Optional. The length of the array, only relevant if the column type is an array.
autoGenerated Boolean: Optional. Is the column auto-generated/identity.
charset String: Optional. Charset override - instead of table level charset.
collation String: Optional. Collation override - instead of table level collation.
comment String: Optional. Comment associated with the column.
customFeatures Map<String>: Optional. Custom engine specific features.
dataType String: Optional. Column data type name.
fractionalSecondsPrecision Number: Optional. Column fractional seconds precision - e.g. 2 as in timestamp (2) - when relevant.
length String: Optional. Column length - e.g. 50 as in varchar (50) - when relevant.
nullable Boolean: Optional. Is the column nullable.
precision Number: Optional. Column precision - e.g. 8 as in double (8,2) - when relevant.
scale Number: Optional. Column scale - e.g. 2 as in double (8,2) - when relevant.
setValues List<String>: Optional. Specifies the list of values allowed in the column.
udt Boolean: Optional. Is the column a UDT (User-defined Type).

SingleEntityRenameResponse

NewName string: The new name of the destination entity

NewName string: The new name of the destination entity

newName String: The new name of the destination entity

newName string: The new name of the destination entity

new_name str: The new name of the destination entity

newName String: The new name of the destination entity

SinglePackageChangeResponse

PackageBody string: Optional. Sql code for package body
PackageDescription string: Optional. Sql code for package description

PackageBody string: Optional. Sql code for package body
PackageDescription string: Optional. Sql code for package description

packageBody String: Optional. Sql code for package body
packageDescription String: Optional. Sql code for package description

packageBody string: Optional. Sql code for package body
packageDescription string: Optional. Sql code for package description

package_body str: Optional. Sql code for package body
package_description str: Optional. Sql code for package description

packageBody String: Optional. Sql code for package body
packageDescription String: Optional. Sql code for package description

SourceNumericFilterResponse

NumericFilterOption string: Enum to set the option defining the datatypes numeric filter has to be applied to
SourceMaxPrecisionFilter int: Optional. The filter will match columns with precision smaller than or equal to this number.
SourceMaxScaleFilter int: Optional. The filter will match columns with scale smaller than or equal to this number.
SourceMinPrecisionFilter int: Optional. The filter will match columns with precision greater than or equal to this number.
SourceMinScaleFilter int: Optional. The filter will match columns with scale greater than or equal to this number.

NumericFilterOption string: Enum to set the option defining the datatypes numeric filter has to be applied to
SourceMaxPrecisionFilter int: Optional. The filter will match columns with precision smaller than or equal to this number.
SourceMaxScaleFilter int: Optional. The filter will match columns with scale smaller than or equal to this number.
SourceMinPrecisionFilter int: Optional. The filter will match columns with precision greater than or equal to this number.
SourceMinScaleFilter int: Optional. The filter will match columns with scale greater than or equal to this number.

numericFilterOption String: Enum to set the option defining the datatypes numeric filter has to be applied to
sourceMaxPrecisionFilter Integer: Optional. The filter will match columns with precision smaller than or equal to this number.
sourceMaxScaleFilter Integer: Optional. The filter will match columns with scale smaller than or equal to this number.
sourceMinPrecisionFilter Integer: Optional. The filter will match columns with precision greater than or equal to this number.
sourceMinScaleFilter Integer: Optional. The filter will match columns with scale greater than or equal to this number.

numericFilterOption string: Enum to set the option defining the datatypes numeric filter has to be applied to
sourceMaxPrecisionFilter number: Optional. The filter will match columns with precision smaller than or equal to this number.
sourceMaxScaleFilter number: Optional. The filter will match columns with scale smaller than or equal to this number.
sourceMinPrecisionFilter number: Optional. The filter will match columns with precision greater than or equal to this number.
sourceMinScaleFilter number: Optional. The filter will match columns with scale greater than or equal to this number.

numeric_filter_option str: Enum to set the option defining the datatypes numeric filter has to be applied to
source_max_precision_filter int: Optional. The filter will match columns with precision smaller than or equal to this number.
source_max_scale_filter int: Optional. The filter will match columns with scale smaller than or equal to this number.
source_min_precision_filter int: Optional. The filter will match columns with precision greater than or equal to this number.
source_min_scale_filter int: Optional. The filter will match columns with scale greater than or equal to this number.

numericFilterOption String: Enum to set the option defining the datatypes numeric filter has to be applied to
sourceMaxPrecisionFilter Number: Optional. The filter will match columns with precision smaller than or equal to this number.
sourceMaxScaleFilter Number: Optional. The filter will match columns with scale smaller than or equal to this number.
sourceMinPrecisionFilter Number: Optional. The filter will match columns with precision greater than or equal to this number.
sourceMinScaleFilter Number: Optional. The filter will match columns with scale greater than or equal to this number.

SourceSqlChangeResponse

SqlCode string: Sql code for source (stored procedure, function, trigger or view)

SqlCode string: Sql code for source (stored procedure, function, trigger or view)

sqlCode String: Sql code for source (stored procedure, function, trigger or view)

sqlCode string: Sql code for source (stored procedure, function, trigger or view)

sql_code str: Sql code for source (stored procedure, function, trigger or view)

sqlCode String: Sql code for source (stored procedure, function, trigger or view)

SourceTextFilterResponse

SourceMaxLengthFilter string: Optional. The filter will match columns with length smaller than or equal to this number.
SourceMinLengthFilter string: Optional. The filter will match columns with length greater than or equal to this number.

SourceMaxLengthFilter string: Optional. The filter will match columns with length smaller than or equal to this number.
SourceMinLengthFilter string: Optional. The filter will match columns with length greater than or equal to this number.

sourceMaxLengthFilter String: Optional. The filter will match columns with length smaller than or equal to this number.
sourceMinLengthFilter String: Optional. The filter will match columns with length greater than or equal to this number.

sourceMaxLengthFilter string: Optional. The filter will match columns with length smaller than or equal to this number.
sourceMinLengthFilter string: Optional. The filter will match columns with length greater than or equal to this number.

source_max_length_filter str: Optional. The filter will match columns with length smaller than or equal to this number.
source_min_length_filter str: Optional. The filter will match columns with length greater than or equal to this number.

sourceMaxLengthFilter String: Optional. The filter will match columns with length smaller than or equal to this number.
sourceMinLengthFilter String: Optional. The filter will match columns with length greater than or equal to this number.

ValueListFilterResponse

IgnoreCase bool: Whether to ignore case when filtering by values. Defaults to false
ValuePresentList string: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
Values List<string>: The list to be used to filter by

IgnoreCase bool: Whether to ignore case when filtering by values. Defaults to false
ValuePresentList string: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
Values []string: The list to be used to filter by

ignoreCase Boolean: Whether to ignore case when filtering by values. Defaults to false
valuePresentList String: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
values List<String>: The list to be used to filter by

ignoreCase boolean: Whether to ignore case when filtering by values. Defaults to false
valuePresentList string: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
values string[]: The list to be used to filter by

ignore_case bool: Whether to ignore case when filtering by values. Defaults to false
value_present_list str: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
values Sequence[str]: The list to be used to filter by

ignoreCase Boolean: Whether to ignore case when filtering by values. Defaults to false
valuePresentList String: Indicates whether the filter matches rows with values that are present in the list or those with values not present in it.
values List<String>: The list to be used to filter by

ValueTransformationResponse

ApplyHash Pulumi.GoogleNative.Datamigration.V1.Inputs.ApplyHashResponse: Optional. Applies a hash function on the data
AssignMaxValue Pulumi.GoogleNative.Datamigration.V1.Inputs.EmptyResponse: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
AssignMinValue Pulumi.GoogleNative.Datamigration.V1.Inputs.EmptyResponse: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
AssignNull Pulumi.GoogleNative.Datamigration.V1.Inputs.EmptyResponse: Optional. Set to null
AssignSpecificValue Pulumi.GoogleNative.Datamigration.V1.Inputs.AssignSpecificValueResponse: Optional. Set to a specific value (value is converted to fit the target data type)
DoubleComparison Pulumi.GoogleNative.Datamigration.V1.Inputs.DoubleComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type double.
IntComparison Pulumi.GoogleNative.Datamigration.V1.Inputs.IntComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type integer.
IsNull Pulumi.GoogleNative.Datamigration.V1.Inputs.EmptyResponse: Optional. Value is null
RoundScale Pulumi.GoogleNative.Datamigration.V1.Inputs.RoundToScaleResponse: Optional. Allows the data to change scale
ValueList Pulumi.GoogleNative.Datamigration.V1.Inputs.ValueListFilterResponse: Optional. Value is found in the specified list.

ApplyHash ApplyHashResponse: Optional. Applies a hash function on the data
AssignMaxValue EmptyResponse: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
AssignMinValue EmptyResponse: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
AssignNull EmptyResponse: Optional. Set to null
AssignSpecificValue AssignSpecificValueResponse: Optional. Set to a specific value (value is converted to fit the target data type)
DoubleComparison DoubleComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type double.
IntComparison IntComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type integer.
IsNull EmptyResponse: Optional. Value is null
RoundScale RoundToScaleResponse: Optional. Allows the data to change scale
ValueList ValueListFilterResponse: Optional. Value is found in the specified list.

applyHash ApplyHashResponse: Optional. Applies a hash function on the data
assignMaxValue EmptyResponse: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
assignMinValue EmptyResponse: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
assignNull EmptyResponse: Optional. Set to null
assignSpecificValue AssignSpecificValueResponse: Optional. Set to a specific value (value is converted to fit the target data type)
doubleComparison DoubleComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type double.
intComparison IntComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type integer.
isNull EmptyResponse: Optional. Value is null
roundScale RoundToScaleResponse: Optional. Allows the data to change scale
valueList ValueListFilterResponse: Optional. Value is found in the specified list.

applyHash ApplyHashResponse: Optional. Applies a hash function on the data
assignMaxValue EmptyResponse: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
assignMinValue EmptyResponse: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
assignNull EmptyResponse: Optional. Set to null
assignSpecificValue AssignSpecificValueResponse: Optional. Set to a specific value (value is converted to fit the target data type)
doubleComparison DoubleComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type double.
intComparison IntComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type integer.
isNull EmptyResponse: Optional. Value is null
roundScale RoundToScaleResponse: Optional. Allows the data to change scale
valueList ValueListFilterResponse: Optional. Value is found in the specified list.

apply_hash ApplyHashResponse: Optional. Applies a hash function on the data
assign_max_value EmptyResponse: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
assign_min_value EmptyResponse: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
assign_null EmptyResponse: Optional. Set to null
assign_specific_value AssignSpecificValueResponse: Optional. Set to a specific value (value is converted to fit the target data type)
double_comparison DoubleComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type double.
int_comparison IntComparisonFilterResponse: Optional. Filter on relation between source value and compare value of type integer.
is_null EmptyResponse: Optional. Value is null
round_scale RoundToScaleResponse: Optional. Allows the data to change scale
value_list ValueListFilterResponse: Optional. Value is found in the specified list.

applyHash Property Map: Optional. Applies a hash function on the data
assignMaxValue Property Map: Optional. Set to max_value - if integer or numeric, will use int.maxvalue, etc
assignMinValue Property Map: Optional. Set to min_value - if integer or numeric, will use int.minvalue, etc
assignNull Property Map: Optional. Set to null
assignSpecificValue Property Map: Optional. Set to a specific value (value is converted to fit the target data type)
doubleComparison Property Map: Optional. Filter on relation between source value and compare value of type double.
intComparison Property Map: Optional. Filter on relation between source value and compare value of type integer.
isNull Property Map: Optional. Value is null
roundScale Property Map: Optional. Allows the data to change scale
valueList Property Map: Optional. Value is found in the specified list.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.datamigration/v1.getMappingRule

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Using getMappingRule

getMappingRule Result

Supporting Types

ApplyHashResponse

AssignSpecificValueResponse

ConditionalColumnSetValueResponse

ConvertRowIdToColumnResponse

DoubleComparisonFilterResponse

EntityMoveResponse

FilterTableColumnsResponse

IntComparisonFilterResponse

MappingRuleFilterResponse

MultiColumnDatatypeChangeResponse

MultiEntityRenameResponse

RoundToScaleResponse

SetTablePrimaryKeyResponse

SingleColumnChangeResponse

SingleEntityRenameResponse

SinglePackageChangeResponse

SourceNumericFilterResponse

SourceSqlChangeResponse

SourceTextFilterResponse

ValueListFilterResponse

ValueTransformationResponse

Package Details

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