For the complete documentation index, see llms.txt. This page is also available as Markdown.

General System Settings

This release introduces new system settings that enhance user control over the application's behavior.

Key
Description
Impacted Module

embedding.enable

Controls whether document embeddings are generated and populated for catalog search. It determines whether semantic search capabilities are available, enabling users to discover relevant catalog assets based on contextual meaning rather than exact keyword matches.

Parameters:

  • When enabled, document embeddings are generated and populated for catalog search, allowing semantic search functionality.

  • When disabled, document embeddings are not generated, and catalog search relies on standard search mechanisms.

  • Default: False

AI

embedding.config

Defines the configuration parameters used for catalog embedding generation. It controls token limits, chunking behavior, overlap settings, processing parallelism, and batch sizes, helping to optimize embedding creation for semantic search and other AI-driven catalog capabilities.

Parameters:

  • EMBEDDING_MODEL_MAX_CONTEXT_TOKENS: Specifies the maximum number of tokens supported by the embedding model for a single request.

  • EMBEDDING_INPUT_TOKEN_HEADROOM: Reserves a portion of the model's token limit to prevent requests from exceeding the maximum context size.

  • EMBEDDING_API_CHARS_PER_TOKEN: Defines the character-to-token conversion ratio used when estimating token counts for content truncation.

  • MAX_TOKENS_PER_CHUNK: Specifies the maximum number of tokens allowed in each content chunk before embedding generation.

  • CHUNK_OVERLAP_TOKENS: Defines the number of tokens shared between adjacent chunks to preserve context across chunk boundaries.

  • BULK_EMBEDDING_PARALLELISM: Specifies the number of embedding generation processes that can run concurrently during bulk operations.

  • EMBEDDING_BATCH_SIZE: Defines the number of content chunks processed in a single embedding generation batch.

AI

data.products.featured.tags.filter

Configures the Master Tags that appear as curated filter options in the More Filters menu of the Data Products Marketplace. Only the selected Master Tag groups associated with Data Products are displayed, allowing users to filter Data Products using predefined tag categories.

Parameters:

  1. Select one or more Master Tags to display them as filter options in the More Filters menu of the Data Products Marketplace.

  2. Leave the setting empty to hide the curated Master Tag filters from the Marketplace.

  3. Default Value: Empty

Data Products

fileconnector.datatab.rowlimit

Defines the maximum number of rows displayed in the Data tab for file-based objects in the Data Catalog. When users view file data, the system retrieves and displays up to the configured number of rows. This setting helps optimize application performance while providing sufficient data for preview.

Parameters:

  1. Specifies the maximum number of rows that can be displayed in the Data tab for file-based objects.

  2. The default value is 500.

Others

objectname.validation.disallowed.character.regex

Defines the regular expression used to validate object names by specifying the characters that are not allowed. It applies during the creation and update of supported catalog objects, such as Terms, Business Glossaries, Categories, Domains, Tags, and Data Products, ensuring that object names comply with the configured naming rules.

Parameters:

  1. By default, object names containing any of the following characters are not allowed: ! @ # $ % ^ & * _ + : ; < > ? / \ " '

  2. Specify a valid Java regular expression to customize the validation rule. An object name is rejected if it matches the configured regular expression.

Others

oe.source.data.encryption.enabled

Controls whether sensitive source data fields configured in the database are stored in encrypted format. It helps protect sensitive source data by enabling or disabling encryption for supported source data columns.

Parameters:

  1. True – Encrypts configured sensitive source data columns before storing them in the database. Saving this value runs the Sensitive Data Encryption Migration advanced job in encrypt mode.

  2. False (Default) – Stores configured sensitive source data columns without encryption. Saving this value runs the Sensitive Data Encryption Migration advanced job in decrypt mode.

Others

crawling.batch.mode

Controls whether metadata crawling is performed in batch mode. When enabled, the crawler processes metadata in batches, improving efficiency and performance, particularly when handling large volumes.

Parameters:

  1. True: Enables batch mode for crawling.

  2. False (Default): Disables batch mode, causing the crawler to process metadata without using batch processing.

Connectors

querysheet.skip.large.columns

Controls whether QuerySheet Auto (Basic) Mode skips large or unsupported columns when generating queries. When enabled, columns configured in the connector's SkipDataTypeForProfile list are excluded from data retrieval to improve query execution while preserving the column structure in the results. This setting applies only to QuerySheet Auto (Basic) Mode and does not affect Advanced (SQL) Mode, Full Profiling, or Sample Profiling.

Parameters:

  1. True (default): Columns whose data type is included in the connector's SkipDataTypeForProfile list are returned as NULL AS <column> instead of being retrieved from the source.

  2. False: All columns are included in the generated SELECT statement, following the legacy behavior.

Query Sheet

ovaledge.breakglass.enable

Enables or disables the Break-Glass functionality for the current OvalEdge instance. When enabled, Break-Glass access becomes available, related user properties can be configured from the Users tab, and the Access through Break-Glass option is displayed on the login page.

Parameters:

  • True – Enables Break-Glass functionality, displays the related user properties in the Users tab, and shows the Access through Break-Glass option on the login page.

  • False (Default) – Disables Break-Glass functionality and hides the associated user properties and login option.

SSO

adf.historicruns.depth.days

Specifies the number of calendar days of Azure Data Factory (ADF) pipeline and activity run history to retrieve during crawling when the merge.adf.runs system setting is enabled. It controls how much historical pipeline execution data is collected for processing.

Parameters:

  • Specify the number of calendar days of ADF pipeline and activity run history to retrieve.

  • This setting is applicable only when merge.adf.runs is enabled.

  • The Default value is 30

Connectors

Existing System Settings - Updated

This release includes updates to existing system settings, enhancing functionality to improve data-processing accuracy and operational efficiency across supported modules.

Name
Updated Field
Updated Field Value

ai.config

Value

JSON_SET(

CAST(jobparmvalue AS JSON),

'$.providers.anthropic',

JSON_OBJECT(

'classification_model', 'claude-sonnet-4-20250514',

'summarization_model', 'claude-sonnet-4-20250514',

'reasoning_model', 'claude-3-opus-20240229',

'large_context_model', 'claude-3-opus-20240229',

'api_key', '',

'advanced_settings', JSON_OBJECT(

'base_url', 'https://api.anthropic.com',

'timeout', '60',

'temperature', '0.7',

'top_p', '0.8',

'top_k', '40',

'max_tokens', '4096',

'retry_count', '3',

'stop_sequences', ''

)

),

'$.providers.bedrock',

JSON_OBJECT(

'classification_model', 'us.anthropic.claude-3-5-haiku-20241022-v1:0',

'summarization_model', 'us.anthropic.claude-sonnet-4-5-20250929-v1:0',

'reasoning_model', 'us.anthropic.claude-sonnet-4-5-20250929-v1:0',

'large_context_model', 'us.anthropic.claude-sonnet-4-5-20250929-v1:0',

'advanced_settings', JSON_OBJECT(

'region', 'us-east-1',

'access_key_id', '',

'secret_access_key', '',

'session_token', '',

'profile', '',

'role_arn', '',

'role_session_name', 'ovaledge-bedrock',

'timeout', '120',

'temperature', '0.7',

'top_p', '',

'max_tokens', '4096',

'retry_count', '3',

'embedding_model', 'amazon.titan-embed-text-v2:0_1024'

)

)

)

ovaledge.filesize.limit

Value

CAST(

LEAST(100, GREATEST(1,

CASE

WHEN CAST(jobparmvalue AS UNSIGNED) > 100

THEN CEIL(CAST(jobparmvalue AS DECIMAL(20, 0)) / 1048576)

ELSE CAST(jobparmvalue AS UNSIGNED)

END

)) AS CHAR

)

ovaledge.filesize.limit

Description

Defines the maximum allowed size for uploading a single file through File Manager (including Upload File or Folder Tool Advanced Tool and File Explorer for NFS sources). The value is configured in MB and enforced across all supported upload interfaces.

Parameters:

  1. Unit: MB (Megabytes)

  2. Data Type: Integer

  3. Allowed Range: 1 MB to 100 MB

  4. Default Value: 5 MB

fileconnector.datatab.rowlimit

Value

500

search.es.active.filters

Value

dataObjects, tags, dataAttributes, connectionName, schema, glossary, owner, steward, custodian, governancerole4, governancerole5, governancerole6, tableType, folder, reportGroup, additionalInformation, codeFields, dateFields, numberFields,data_domain,subscription_mode,owner, steward, custodian,apiGroup,certification,popularity,rating,reporttype,curationscore

search.es.governancerole.filters.optional

Value

dataObjects, tags, dataAttributes, connectionName, schema, glossary, owner, steward, custodian, governancerole4, governancerole5, governancerole6, tableType, folder, reportGroup, additionalInformation, codeFields, dateFields, numberFields,data_domain,subscription_mode,owner, steward, custodian,apiGroup,certification,popularity,rating,reporttype,curationscore

search.es.dataobjects.filters.optional

Value

dataObjects, tags, dataAttributes, connectionName, schema, glossary, owner, steward, custodian, governancerole4, governancerole5, governancerole6, tableType, folder, reportGroup, additionalInformation, codeFields, dateFields, numberFields,data_domain,subscription_mode,owner, steward, custodian,apiGroup,certification,popularity,rating,reporttype,curationscore

search.es.active.filters

Description

Configure additional Global Search filters on the Global Search page. Data Objects, Tags, and Data Attributes are always enabled by the system and do not need to be configured here.

Parameters:

  1. Select additional filters from the drop-down list (Connection, Schema, Glossary, Governance Roles, Certification, Popularity, etc.). If left blank, only the default filters (Data Objects, Tags, Data Attributes) are displayed.

hide.saml.login

Value

FALSE

Existing System Settings - Deleted

Name
Status

bridge.server.ui.port

Deleted

bridge.server.healthcheck.protocol

Deleted

enable.batch.profiling

Deleted


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