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insta-integration-config-latest.json
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{
"$schema": "https://json-schema.org/draft/2019-09/schema",
"title": "insta-integration configuration schema",
"description": "Configuration to run integration tests with insta-integration",
"type": "object",
"properties": {
"env": {
"$ref": "#/$defs/EnvironmentVariables",
"description": "Environment variables to be applied to all runs."
},
"services": {
"type": "array",
"description": "External services required to run integration tests",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Name of the service. Optionally, define the version of the service to run using pattern '<service>:<version>'.",
"examples": ["kafka", "mysql", "postgres", "postgres:16.3"]
},
"data": {
"type": "string",
"description": "Folder path or link to startup files. For example, 'postgres/sql' folder with schema and table creation SQL files. Refer to insta-infra for possible startup files"
},
"env": {
"$ref": "#/$defs/EnvironmentVariables",
"description": "Environment variables for the service."
}
},
"additionalProperties": false,
"required": ["name"]
}
},
"run": {
"type": "array",
"description": "Applications/jobs to run as part of the integration tests. Run in order.",
"items": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "Bash command to run your application/job."
},
"commandWaitForFinish": {
"type": "boolean",
"description": "Whether to wait for the command to finish before running data generation/validation.",
"default": true
},
"env": {
"$ref": "#/$defs/EnvironmentVariables",
"description": "Environment variables for your application/job."
},
"generateFirst": {
"type": "boolean",
"description": "Whether to run data generation before your application/job runs."
},
"test": {
"type": "object",
"description": "Data Caterer configuration for data generation and validation",
"properties": {
"env": {
"$ref": "#/$defs/EnvironmentVariables",
"description": "Environment variables for data-caterer Docker image. Check 'src/config.js' baseApplicationConf for potential environment variables to override."
},
"generation": {
"type": "object",
"description": "Define data sources along with schemas for data generation.",
"propertyNames": {
"enum": [
"cassandra",
"postgres",
"mysql",
"csv",
"delta",
"iceberg",
"json",
"orc",
"parquet",
"http",
"kafka",
"solace"
]
},
"additionalProperties": {
"type": "array",
"description": "Array of data generation tasks with the data source name as the key.",
"items": {
"type": "object",
"description": "Data generation task details with information about data source, number of records and schema.",
"properties": {
"name": {
"type": "string"
},
"options": {
"type": "object",
"description": "Data source configuration for data generation.",
"properties": {
"metadataSourceType": {
"description": "Type of metadata source for retrieval of schema information.",
"enum": [
"marquez",
"open_api",
"open_metadata",
"open_data_contract_standard"
]
}
},
"allOf": [
{
"if": {
"properties": {
"metadataSourceType": {
"const": "open_api"
}
},
"required": ["metadataSourceType"]
},
"then": {
"properties": {
"schemaLocation": {
"description": "Location of OpenAPI spec file (can be a URL or file pathway).",
"type": "string"
}
},
"required": ["schemaLocation"]
}
},
{
"if": {
"properties": {
"metadataSourceType": {
"const": "open_metadata"
}
},
"required": ["metadataSourceType"]
},
"then": {
"properties": {
"tableFqn": {
"description": "Table full qualified name."
}
}
}
},
{
"if": {
"properties": {
"metadataSourceType": {
"const": "marquez"
}
},
"required": ["metadataSourceType"]
},
"then": {
"properties": {
"metadataSourceUrl": {
"description": "Marquez URL."
},
"namespace": {
"description": "Namespace to retrieve metadata from."
},
"dataset": {
"description": "Dataset to retrieve metadata from."
}
},
"required": ["metadataSourceUrl", "namespace"]
}
}
]
},
"count": {
"type": "object",
"description": "Define the number of records to generate.",
"properties": {
"records": {
"type": "integer",
"description": "Total number of records to generate."
},
"generator": {
"description": "Random number of records.",
"$ref": "#/$defs/CountGenerator"
},
"perColumn": {
"type": "object",
"description": "Generate records per unique set of column values. For example, generate 5 transactions for each 'account_number'.",
"properties": {
"columnNames": {
"type": "array",
"description": "Array of column names to generate records for each set of unique values.",
"items": {
"type": "string",
"description": "Column name found within schema fields."
}
},
"count": {
"type": "integer",
"description": "Static number of records per unique set of column values."
},
"generator": {
"description": "Random number of records per unique set of column values.",
"$ref": "#/$defs/CountGenerator"
}
},
"additionalProperties": false
}
}
},
"schema": {
"type": "object",
"properties": {
"fields": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Name of the field."
},
"type": {
"type": "string",
"description": "Data type of the field.",
"default": "string",
"$ref": "#/$defs/SchemaFieldDataTypes"
},
"options": {
"description": "Metadata to define restrict the data generated.",
"type": "object"
}
},
"required": ["name"],
"unevaluatedProperties": false,
"allOf": [
{
"if": {
"type": "object",
"properties": {
"type": {
"const": "string"
}
},
"required": ["type"]
},
"then": {
"type": "object",
"properties": {
"options": {
"$ref": "#/$defs/SchemaStringOptions"
}
}
}
},
{
"if": {
"type": "object",
"properties": {
"type": {
"anyOf": [
{
"const": "integer"
},
{
"const": "long"
},
{
"const": "short"
},
{
"const": "decimal"
},
{
"const": "double"
},
{
"const": "float"
}
]
}
},
"required": ["type"]
},
"then": {
"type": "object",
"properties": {
"options": {
"$ref": "#/$defs/SchemaNumberOptions"
}
}
}
},
{
"if": {
"type": "object",
"properties": {
"type": {
"anyOf": [
{
"const": "date"
},
{
"const": "timestamp"
}
]
}
},
"required": ["type"]
},
"then": {
"type": "object",
"properties": {
"options": {
"$ref": "#/$defs/SchemaDateOptions"
}
}
}
},
{
"if": {
"type": "object",
"properties": {
"type": {
"const": "binary"
}
},
"required": ["type"]
},
"then": {
"type": "object",
"properties": {
"options": {
"$ref": "#/$defs/SchemaBinaryOptions"
}
}
}
},
{
"if": {
"type": "object",
"properties": {
"type": {
"const": "array"
}
},
"required": ["type"]
},
"then": {
"type": "object",
"properties": {
"options": {
"$ref": "#/$defs/SchemaBinaryOptions"
}
}
}
}
]
}
}
},
"additionalProperties": false
}
},
"additionalProperties": false
}
},
"allOf": [
{
"if": {
"propertyNames": {
"enum": ["postgres", "mysql"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"dbtable": {
"description": "Name of the schema and table to connect to (<schema>.<table> format).",
"type": "string",
"pattern": "^(.+?)\\.(.+?)$"
}
}
}
}
}
}
}
},
{
"if": {
"propertyNames": {
"enum": ["cassandra"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"keyspace": {
"description": "Cassandra keyspace name."
},
"table": {
"description": "Cassandra table name."
}
}
}
}
}
}
}
},
{
"if": {
"propertyNames": {
"enum": ["csv", "delta", "json", "orc", "parquet"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"partitions": {
"description": "Number of file partitions to create."
},
"path": {
"description": "Path to file."
},
"partitionBy": {
"description": "Column name(s) to partition dataset by (comma separated)."
}
}
}
}
}
}
}
},
{
"if": {
"propertyNames": {
"enum": ["iceberg"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"catalogType": {
"description": "Type of Iceberg catalog.",
"enum": [
"hive",
"hadoop",
"rest",
"glue",
"jdbc",
"nessie"
]
},
"catalogUri": {
"description": "URI for catalog."
},
"path": {
"description": "Warehouse path for catalog."
},
"table": {
"description": "Table name of Iceberg dataset."
}
}
}
}
}
}
}
},
{
"if": {
"propertyNames": {
"enum": ["kafka"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"topic": {
"description": "Topic name."
},
"rowsPerSecond": {
"description": "Number of records to create per second."
}
}
}
}
}
}
}
},
{
"if": {
"propertyNames": {
"enum": ["solace"]
}
},
"then": {
"additionalProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"destinationName": {
"description": "Name of the topic/queue."
},
"rowsPerSecond": {
"description": "Number of records to create per second."
}
}
}
}
}
}
}
}
]
},
"mount": {
"description": "Add volume mount for data-caterer Docker image.",
"type": "array",
"items": {
"type": "string",
"pattern": ".*:.*"
}
},
"relationship": {
"type": "object",
"description": "Define any relationships between data generation data sources. For example, 'account_number' field being the same across two Postgres tables accounts and balances.",
"patternProperties": {
"^[a-zA-Z0-9_-]+\\.[a-zA-Z0-9_-]+$": {
"type": "array",
"items": {
"type": "string",
"description": "Uses the pattern: '<name of generation>.<field name>'",
"pattern": "^[a-zA-Z0-9_-]+\\.[a-zA-Z0-9_-]+$"
}
}
},
"additionalProperties": false
},
"validation": {
"type": "object",
"description": "Define data sources along with validation rules to run after data generation and your application/job.",
"propertyNames": {
"enum": [
"cassandra",
"postgres",
"mysql",
"csv",
"delta",
"iceberg",
"json",
"orc",
"parquet"
]
},
"additionalProperties": {
"type": "array",
"description": "Array of data validation tasks with the data source name as the key.",
"items": {
"type": "object",
"properties": {
"options": {
"type": "object",
"description": "Data source configuration details."
},
"validations": {
"type": "array",
"description": "Array of data validation rules.",
"items": {
"type": "object",
"description": "Data validation rule.",
"oneOf": [
{
"$ref": "#/$defs/BasicValidation"
},
{
"$ref": "#/$defs/AggregationValidation"
},
{
"$ref": "#/$defs/UpstreamValidation"
},
{
"$ref": "#/$defs/ColumnNameValidation"
}
]
}
},
"additionalProperties": false
}
}
}
}
},
"additionalProperties": false
}
},
"additionalProperties": false
}
}
},
"additionalProperties": false,
"$defs": {
"EnvironmentVariables": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"CountGenerator": {
"type": "object",
"properties": {
"options": {
"type": "object",
"propertyNames": {
"enum": ["sql", "min", "max", "stddev", "mean"]
}
},
"additionalProperties": false
}
},
"SchemaFieldDataTypes": {
"enum": [
"string",
"integer",
"long",
"double",
"short",
"decimal",
"float",
"date",
"timestamp",
"boolean",
"binary",
"byte",
"array",
"struct"
]
},
"SchemaFieldBaseOptions": {
"type": "object",
"properties": {
"enabledEdgeCase": {
"type": "boolean",
"description": "Enable generating edge case values for data type.",
"default": false
},
"edgeCaseProb": {
"type": "number",
"description": "Probability of generating edge case values. Range from 0-1.",
"minimum": 0,
"maximum": 1,
"default": 0
},
"isUnique": {
"type": "boolean",
"description": "Generate only unique values.",
"default": false
},
"seed": {
"type": "number",
"description": "Seed for generating consistent random values.",
"default": -1
},
"sql": {
"type": "string",
"description": "Spark SQL expression for generating data."
},
"oneOf": {
"type": "array",
"description": "Generated values will be one of the defined values."
},
"omit": {
"type": "boolean",
"description": "Exclude the field from the final output. Can be used for intermediate data generation.",
"default": false
}
}
},
"SchemaNullOptions": {
"type": "object",
"properties": {
"enableNull": {
"type": "boolean",
"description": "Enable generation of null values.",
"default": false
},
"nullProbability": {
"type": "number",
"description": "Probability of generating null values. Range from 0-1.",
"minimum": 0,
"maximum": 1,
"default": 0
}
}
},
"SchemaStringOptions": {
"type": "object",
"properties": {
"minLen": {
"type": "integer",
"description": "Minimum length of generated values.",
"default": 1
},
"maxLen": {
"type": "integer",
"description": "Maximum length of generated values.",
"default": 10
},
"expression": {
"type": "string",
"description": "Faker expression to generate values.",
"examples": ["#{Name.name}"]
},
"regex": {
"type": "string",
"description": "Regex for generating values."
}
},
"allOf": [
{
"$ref": "#/$defs/SchemaFieldBaseOptions"
},
{
"$ref": "#/$defs/SchemaNullOptions"
}
],
"unevaluatedProperties": false
},
"SchemaNumberOptions": {
"type": "object",
"properties": {
"min": {
"type": "number",
"description": "Minimum generated value.",
"default": 0
},
"max": {
"type": "number",
"description": "Maximum generated value.",
"default": 1000
},
"stddev": {
"type": "number",
"description": "Standard deviation of generated values.",
"default": 1
},
"mean": {
"type": "number",
"description": "Mean of generated values.",
"default": 500
}
},
"$ref": "#/$defs/SchemaFieldBaseOptions",
"unevaluatedProperties": false
},
"SchemaDateOptions": {
"type": "object",
"properties": {
"min": {
"type": "string",
"description": "Maximum generated value."
},
"max": {
"type": "string",
"description": "Maximum generated value."
}
},
"allOf": [
{
"$ref": "#/$defs/SchemaFieldBaseOptions"
},
{
"$ref": "#/$defs/SchemaNullOptions"
}
],
"unevaluatedProperties": false
},
"SchemaBinaryOptions": {
"type": "object",
"properties": {
"minLen": {
"type": "number",
"description": "Minimum length of generated values."
},
"maxLen": {
"type": "number",
"description": "Maximum length of generated values."
}
},
"allOf": [
{
"$ref": "#/$defs/SchemaFieldBaseOptions"
},
{
"$ref": "#/$defs/SchemaNullOptions"
}
],
"unevaluatedProperties": false
},
"SchemaArrayOptions": {
"type": "object",
"properties": {
"arrayMinLen": {
"type": "number",
"description": "Minimum generated array length."
},
"arrayMaxLen": {
"type": "number",
"description": "Maximum generated array length."
},
"arrayType": {
"type": "string",
"description": "Data type of array values.",
"$ref": "#/$defs/SchemaFieldDataTypes"
}
},
"allOf": [
{
"$ref": "#/$defs/SchemaFieldBaseOptions"
},
{
"$ref": "#/$defs/SchemaNullOptions"
}
],
"unevaluatedProperties": false
},
"ValidationDescription": {
"const": "description",
"description": "Description of the validation rule. Helpful to provide additional context."
},
"ValidationErrorThreshold": {
"const": "errorThreshold",
"description": "Define the number of records or percentage of records that do not meet the validation rule before marking the validation as failed."
},
"ValidationPreFilterExpression": {
"const": "preFilterExpr",
"description": "SQL expression that is run to filter data before running the validation."
},
"ValidationExpression": {
"const": "expr",
"description": "SQL expression to define validation. Check https://spark.apache.org/docs/latest/api/sql for reference."
},
"ValidationSelectExpression": {
"const": "selectExpr",
"description": "SQL expression used to apply to columns before running validations."
},
"ValidationAggregateExpression": {
"const": "aggExpr",
"description": "SQL expression to define validation after aggregation. Check https://spark.apache.org/docs/latest/api/sql for reference."
},
"ValidationAggregateColumn": {
"const": "aggCol",
"description": "Column name to run aggregation on."
},
"ValidationAggregateType": {
"const": "aggType",
"description": "Type of aggregation to run. Can be either: sum, avg, max, min, mean, stddev, count."
},
"ValidationAggregateGroupByColumns": {
"const": "groupByCols",
"description": "Column names to group by for aggregation calculation."
},
"ValidationUpstreamJoinColumns": {
"const": "joinColumns",
"description": "Column names to run join operation on."
},
"ValidationUpstreamJoinType": {
"const": "joinType",
"description": "Type of join to run."
},
"ValidationUpstreamDataSource": {
"const": "upstreamDataSource",
"description": "Name of the upstream data source."
},
"ValidationUpstreamReadOptions": {
"const": "upstreamReadOptions",
"description": "Additional configuration to connect to upstream data source."
},
"ValidationUpstreamNestedValidation": {
"const": "validation",
"description": "Validation to run after join with upstream data source."
},
"ValidationColumnNameType": {
"const": "columnNameType",
"description": "Type of column name validation to run."
},
"ValidationColumnNameCount": {
"const": "count",
"description": "Expected number of column names."
},
"ValidationColumnNameMaxCount": {
"const": "maxCount",
"description": "Maximum number of column names."
},
"ValidationColumnNameMinCount": {
"const": "minCount",
"description": "Minimum number of column names."
},
"ValidationColumnNames": {
"const": "names",
"description": "Expected column names."
},
"BasicValidation": {
"type": "object",
"propertyNames": {
"anyOf": [
{
"$ref": "#/$defs/ValidationDescription"
},
{
"$ref": "#/$defs/ValidationErrorThreshold"
},
{
"$ref": "#/$defs/ValidationPreFilterExpression"
},
{
"$ref": "#/$defs/ValidationExpression"
},
{
"$ref": "#/$defs/ValidationSelectExpression"
}
]
}
},
"AggregationValidation": {
"type": "object",
"propertyNames": {
"anyOf": [
{
"$ref": "#/$defs/ValidationDescription"
},
{
"$ref": "#/$defs/ValidationErrorThreshold"
},
{
"$ref": "#/$defs/ValidationPreFilterExpression"
},
{
"$ref": "#/$defs/ValidationAggregateColumn"
},
{
"$ref": "#/$defs/ValidationAggregateExpression"
},
{
"$ref": "#/$defs/ValidationAggregateGroupByColumns"
},
{
"$ref": "#/$defs/ValidationAggregateType"
}
]
}
},
"UpstreamValidation": {
"type": "object",
"propertyNames": {
"anyOf": [
{
"$ref": "#/$defs/ValidationDescription"
},
{
"$ref": "#/$defs/ValidationErrorThreshold"
},
{
"$ref": "#/$defs/ValidationPreFilterExpression"