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Posted to dev@atlas.apache.org by "nishant ambastha (Jira)" <ji...@apache.org> on 2021/10/13 08:07:00 UTC
[jira] [Updated] (ATLAS-4453) Error ATLAS-400-00-09D with Atlas
3.0.0-SNAPSHOT version
[ https://issues.apache.org/jira/browse/ATLAS-4453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
nishant ambastha updated ATLAS-4453:
------------------------------------
Description:
Hello Team,
I have cloned Apache-Altas master branch from [https://github.com/apache/atlas.git] and started atlas server. This is a fresh installation.
However, when I try to run
curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
I'm getting below error:
{ "errorCode": "ATLAS-400-00-09D", "errorMessage": "Invalid attribute name: mysql_db.name. Attribute already exists in parent type: DataSet" }
The same thing when I try with version 2.1.0,
curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
I'm getting correct response,
{
"category": "ENTITY",
"guid": "cab8cc7e-f91f-4289-8a12-65268040610e",
"createdBy": "user",
"updatedBy": "user",
"createTime": 1634030058881,
"updateTime": 1634030457176,
"version": 3,
"name": "DataSet",
"description": "DataSet",
"typeVersion": "1.2",
"serviceType": "atlas_core",
"attributeDefs": [],
"superTypes": [
"Asset"
],
"subTypes": [
"adls_gen2_container",
"rdbms_foreign_key",
"StorageDesc",
"spark_ml_directory",
"ozone_volume",
"hive_table",
"spark_column",
"aws_s3_pseudo_dir",
"sqoop_dbdatastore",
"mysql_column",
"hbase_column",
"rdbms_instance",
"spark_table",
"jms_topic",
"falcon_feed",
"hbase_table",
"Column",
"rdbms_table",
"rdbms_column",
"hbase_column_family",
"hive_column",
"mysql_db",
"rdbms_db",
"Table",
"ml_model_deployment",
"spark_ml_pipeline",
"kafka_topic",
"ozone_bucket",
"adls_gen2_blob",
"View",
"spark_ml_model",
"aws_s3_v2_base",
"adls_gen2_directory",
"rdbms_index",
"mysql_table",
"ml_project",
"ozone_key",
"avro_type",
"aws_s3_bucket",
"aws_s3_object",
"ml_model_build",
"DB",
"fs_path",
"spark_db"
],
"relationshipAttributeDefs": [
{ "name": "inputToProcesses", "typeName": "array<Process>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "dataset_process_inputs", "isLegacyAttribute": false }
,
{ "name": "pipeline", "typeName": "spark_ml_pipeline", "isOptional": true, "cardinality": "SINGLE", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "spark_ml_pipeline_dataset", "isLegacyAttribute": false }
,
{ "name": "schema", "typeName": "array<avro_schema>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "avro_schema_associatedEntities", "isLegacyAttribute": false }
,
{ "name": "model", "typeName": "spark_ml_model", "isOptional": true, "cardinality": "SINGLE", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "spark_ml_model_dataset", "isLegacyAttribute": false }
,
{ "name": "meanings", "typeName": "array<AtlasGlossaryTerm>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "AtlasGlossarySemanticAssignment", "isLegacyAttribute": false }
,
{ "name": "outputFromProcesses", "typeName": "array<Process>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "process_dataset_outputs", "isLegacyAttribute": false }
],
"businessAttributeDefs": {}
}
Thanks in advance.
was:
Hello Team,
I have cloned Apache-Altas master branch from [https://github.com/apache/atlas.git] and started atlas server. This is a fresh installation.
However, when I try to run
curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
I'm getting below error:
{
"errorCode": "ATLAS-400-00-09D",
"errorMessage": "Invalid attribute name: mysql_db.name. Attribute already exists in parent type: DataSet"
}
The same thing when I try with version 2.1.0,
curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
I'm getting correct response,
{
"category": "ENTITY",
"guid": "cab8cc7e-f91f-4289-8a12-65268040610e",
"createdBy": "nambastha",
"updatedBy": "nambastha",
"createTime": 1634030058881,
"updateTime": 1634030457176,
"version": 3,
"name": "DataSet",
"description": "DataSet",
"typeVersion": "1.2",
"serviceType": "atlas_core",
"attributeDefs": [],
"superTypes": [
"Asset"
],
"subTypes": [
"adls_gen2_container",
"rdbms_foreign_key",
"StorageDesc",
"spark_ml_directory",
"ozone_volume",
"hive_table",
"spark_column",
"aws_s3_pseudo_dir",
"sqoop_dbdatastore",
"mysql_column",
"hbase_column",
"rdbms_instance",
"spark_table",
"jms_topic",
"falcon_feed",
"hbase_table",
"Column",
"rdbms_table",
"rdbms_column",
"hbase_column_family",
"hive_column",
"mysql_db",
"rdbms_db",
"Table",
"ml_model_deployment",
"spark_ml_pipeline",
"kafka_topic",
"ozone_bucket",
"adls_gen2_blob",
"View",
"spark_ml_model",
"aws_s3_v2_base",
"adls_gen2_directory",
"rdbms_index",
"mysql_table",
"ml_project",
"ozone_key",
"avro_type",
"aws_s3_bucket",
"aws_s3_object",
"ml_model_build",
"DB",
"fs_path",
"spark_db"
],
"relationshipAttributeDefs": [
{
"name": "inputToProcesses",
"typeName": "array<Process>",
"isOptional": true,
"cardinality": "SET",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "dataset_process_inputs",
"isLegacyAttribute": false
},
{
"name": "pipeline",
"typeName": "spark_ml_pipeline",
"isOptional": true,
"cardinality": "SINGLE",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "spark_ml_pipeline_dataset",
"isLegacyAttribute": false
},
{
"name": "schema",
"typeName": "array<avro_schema>",
"isOptional": true,
"cardinality": "SET",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "avro_schema_associatedEntities",
"isLegacyAttribute": false
},
{
"name": "model",
"typeName": "spark_ml_model",
"isOptional": true,
"cardinality": "SINGLE",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "spark_ml_model_dataset",
"isLegacyAttribute": false
},
{
"name": "meanings",
"typeName": "array<AtlasGlossaryTerm>",
"isOptional": true,
"cardinality": "SET",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "AtlasGlossarySemanticAssignment",
"isLegacyAttribute": false
},
{
"name": "outputFromProcesses",
"typeName": "array<Process>",
"isOptional": true,
"cardinality": "SET",
"valuesMinCount": -1,
"valuesMaxCount": -1,
"isUnique": false,
"isIndexable": false,
"includeInNotification": false,
"searchWeight": -1,
"relationshipTypeName": "process_dataset_outputs",
"isLegacyAttribute": false
}
],
"businessAttributeDefs": {}
}
Thanks in advance.
> Error ATLAS-400-00-09D with Atlas 3.0.0-SNAPSHOT version
> --------------------------------------------------------
>
> Key: ATLAS-4453
> URL: https://issues.apache.org/jira/browse/ATLAS-4453
> Project: Atlas
> Issue Type: Bug
> Components: atlas-core
> Affects Versions: 3.0.0
> Reporter: nishant ambastha
> Priority: Major
> Fix For: 3.0.0
>
>
> Hello Team,
> I have cloned Apache-Altas master branch from [https://github.com/apache/atlas.git] and started atlas server. This is a fresh installation.
> However, when I try to run
> curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
>
> I'm getting below error:
> { "errorCode": "ATLAS-400-00-09D", "errorMessage": "Invalid attribute name: mysql_db.name. Attribute already exists in parent type: DataSet" }
>
> The same thing when I try with version 2.1.0,
> curl -X GET -u admin:admin [http://localhost:21000/api/atlas/v2/types/typedef/name/DataSet]
>
> I'm getting correct response,
>
> {
> "category": "ENTITY",
> "guid": "cab8cc7e-f91f-4289-8a12-65268040610e",
> "createdBy": "user",
> "updatedBy": "user",
> "createTime": 1634030058881,
> "updateTime": 1634030457176,
> "version": 3,
> "name": "DataSet",
> "description": "DataSet",
> "typeVersion": "1.2",
> "serviceType": "atlas_core",
> "attributeDefs": [],
> "superTypes": [
> "Asset"
> ],
> "subTypes": [
> "adls_gen2_container",
> "rdbms_foreign_key",
> "StorageDesc",
> "spark_ml_directory",
> "ozone_volume",
> "hive_table",
> "spark_column",
> "aws_s3_pseudo_dir",
> "sqoop_dbdatastore",
> "mysql_column",
> "hbase_column",
> "rdbms_instance",
> "spark_table",
> "jms_topic",
> "falcon_feed",
> "hbase_table",
> "Column",
> "rdbms_table",
> "rdbms_column",
> "hbase_column_family",
> "hive_column",
> "mysql_db",
> "rdbms_db",
> "Table",
> "ml_model_deployment",
> "spark_ml_pipeline",
> "kafka_topic",
> "ozone_bucket",
> "adls_gen2_blob",
> "View",
> "spark_ml_model",
> "aws_s3_v2_base",
> "adls_gen2_directory",
> "rdbms_index",
> "mysql_table",
> "ml_project",
> "ozone_key",
> "avro_type",
> "aws_s3_bucket",
> "aws_s3_object",
> "ml_model_build",
> "DB",
> "fs_path",
> "spark_db"
> ],
> "relationshipAttributeDefs": [
> { "name": "inputToProcesses", "typeName": "array<Process>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "dataset_process_inputs", "isLegacyAttribute": false }
> ,
> { "name": "pipeline", "typeName": "spark_ml_pipeline", "isOptional": true, "cardinality": "SINGLE", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "spark_ml_pipeline_dataset", "isLegacyAttribute": false }
> ,
> { "name": "schema", "typeName": "array<avro_schema>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "avro_schema_associatedEntities", "isLegacyAttribute": false }
> ,
> { "name": "model", "typeName": "spark_ml_model", "isOptional": true, "cardinality": "SINGLE", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "spark_ml_model_dataset", "isLegacyAttribute": false }
> ,
> { "name": "meanings", "typeName": "array<AtlasGlossaryTerm>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "AtlasGlossarySemanticAssignment", "isLegacyAttribute": false }
> ,
> { "name": "outputFromProcesses", "typeName": "array<Process>", "isOptional": true, "cardinality": "SET", "valuesMinCount": -1, "valuesMaxCount": -1, "isUnique": false, "isIndexable": false, "includeInNotification": false, "searchWeight": -1, "relationshipTypeName": "process_dataset_outputs", "isLegacyAttribute": false }
> ],
> "businessAttributeDefs": {}
> }
>
> Thanks in advance.
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