SAP HANA

Important Capabilities

Capability	Status	Notes
Classification	✅	Optionally enabled via classification.enabled
Data Profiling	✅	Optionally enabled via configuration
Detect Deleted Entities	✅	Enabled via stateful ingestion
Domains	✅	Supported via the domain config field
Platform Instance	✅	Enabled by default

CLI based Ingestion

Install the Plugin

pip install 'acryl-datahub[hana]'

Starter Recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
  type: hana
  config:
    # Coordinates
    host_port: localhost:39041
    database: dbname

    # Credentials
    username: ${HANA_USER}
    password: ${HANA_PASS}

sink:
  # sink configs

Config Details

Options

Note that a . is used to denote nested fields in the YAML recipe.

Field	Description
convert_urns_to_lowercase boolean	Whether to convert dataset urns to lowercase. Default: False
database string	database (catalog)
host_port string	Default: localhost:39041
include_table_location_lineage boolean	If the source supports it, include table lineage to the underlying storage location. Default: True
include_tables boolean	Whether tables should be ingested. Default: True
include_view_column_lineage boolean	Populates column-level lineage for view->view and table->view lineage using DataHub's sql parser. Requires include_view_lineage to be enabled. Default: True
include_view_lineage boolean	Populates view->view and table->view lineage using DataHub's sql parser. Default: True
include_views boolean	Whether views should be ingested. Default: True
incremental_lineage boolean	When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run. Default: False
options object	Any options specified here will be passed to SQLAlchemy.create_engine as kwargs. To set connection arguments in the URL, specify them under connect_args.
password string(password)	password
platform_instance string	The instance of the platform that all assets produced by this recipe belong to
scheme string	Default: hana+hdbcli
sqlalchemy_uri string	URI of database to connect to. See https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls. Takes precedence over other connection parameters.
use_file_backed_cache boolean	Whether to use a file backed cache for the view definitions. Default: True
username string	username
env string	The environment that all assets produced by this connector belong to Default: PROD
classification ClassificationConfig	For details, refer Classification. Default: {'enabled': False, 'sample_size': 100, 'max_worker...
classification.enabled boolean	Whether classification should be used to auto-detect glossary terms Default: False
classification.info_type_to_term map(str,string)
classification.max_workers integer	Number of worker threads to use for classification. Set to 1 to disable. Default: 4
classification.sample_size integer	Number of sample values used for classification. Default: 100
classification.classifiers array	Classifiers to use to auto-detect glossary terms. If more than one classifier, infotype predictions from the classifier defined later in sequence take precedance. Default: [{'type': 'datahub', 'config': None}]
classification.classifiers.DynamicTypedClassifierConfig DynamicTypedClassifierConfig
classification.classifiers.DynamicTypedClassifierConfig.type ❓ string	The type of the classifier to use. For DataHub, use datahub
classification.classifiers.DynamicTypedClassifierConfig.config object	The configuration required for initializing the classifier. If not specified, uses defaults for classifer type.
classification.column_pattern AllowDenyPattern	Regex patterns to filter columns for classification. This is used in combination with other patterns in parent config. Specify regex to match the column name in database.schema.table.column format. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
classification.column_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
classification.column_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
classification.column_pattern.allow.string string
classification.column_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
classification.column_pattern.deny.string string
classification.table_pattern AllowDenyPattern	Regex patterns to filter tables for classification. This is used in combination with other patterns in parent config. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
classification.table_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
classification.table_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
classification.table_pattern.allow.string string
classification.table_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
classification.table_pattern.deny.string string
domain map(str,AllowDenyPattern)	A class to store allow deny regexes
domain.key.allow array	List of regex patterns to include in ingestion Default: ['.*']
domain.key.allow.string string
domain.key.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
domain.key.deny array	List of regex patterns to exclude from ingestion. Default: []
domain.key.deny.string string
profile_pattern AllowDenyPattern	Regex patterns to filter tables (or specific columns) for profiling during ingestion. Note that only tables allowed by the table_pattern will be considered. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
profile_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
profile_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
profile_pattern.allow.string string
profile_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
profile_pattern.deny.string string
schema_pattern AllowDenyPattern	Regex patterns for schemas to filter in ingestion. Specify regex to only match the schema name. e.g. to match all tables in schema analytics, use the regex 'analytics' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
schema_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
schema_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
schema_pattern.allow.string string
schema_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
schema_pattern.deny.string string
table_pattern AllowDenyPattern	Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
table_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
table_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
table_pattern.allow.string string
table_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
table_pattern.deny.string string
view_pattern AllowDenyPattern	Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
view_pattern.ignoreCase boolean	Whether to ignore case sensitivity during pattern matching. Default: True
view_pattern.allow array	List of regex patterns to include in ingestion Default: ['.*']
view_pattern.allow.string string
view_pattern.deny array	List of regex patterns to exclude from ingestion. Default: []
view_pattern.deny.string string
profiling GEProfilingConfig	Default: {'enabled': False, 'operation_config': {'lower_fre...
profiling.catch_exceptions boolean	Default: True
profiling.enabled boolean	Whether profiling should be done. Default: False
profiling.field_sample_values_limit integer	Upper limit for number of sample values to collect for all columns. Default: 20
profiling.include_field_distinct_count boolean	Whether to profile for the number of distinct values for each column. Default: True
profiling.include_field_distinct_value_frequencies boolean	Whether to profile for distinct value frequencies. Default: False
profiling.include_field_histogram boolean	Whether to profile for the histogram for numeric fields. Default: False
profiling.include_field_max_value boolean	Whether to profile for the max value of numeric columns. Default: True
profiling.include_field_mean_value boolean	Whether to profile for the mean value of numeric columns. Default: True
profiling.include_field_median_value boolean	Whether to profile for the median value of numeric columns. Default: True
profiling.include_field_min_value boolean	Whether to profile for the min value of numeric columns. Default: True
profiling.include_field_null_count boolean	Whether to profile for the number of nulls for each column. Default: True
profiling.include_field_quantiles boolean	Whether to profile for the quantiles of numeric columns. Default: False
profiling.include_field_sample_values boolean	Whether to profile for the sample values for all columns. Default: True
profiling.include_field_stddev_value boolean	Whether to profile for the standard deviation of numeric columns. Default: True
profiling.limit integer	Max number of documents to profile. By default, profiles all documents.
profiling.max_number_of_fields_to_profile integer	A positive integer that specifies the maximum number of columns to profile for any table. None implies all columns. The cost of profiling goes up significantly as the number of columns to profile goes up.
profiling.max_workers integer	Number of worker threads to use for profiling. Set to 1 to disable. Default: 20
profiling.offset integer	Offset in documents to profile. By default, uses no offset.
profiling.partition_datetime string(date-time)	If specified, profile only the partition which matches this datetime. If not specified, profile the latest partition. Only Bigquery supports this.
profiling.partition_profiling_enabled boolean	Whether to profile partitioned tables. Only BigQuery supports this. If enabled, latest partition data is used for profiling. Default: True
profiling.profile_external_tables boolean	Whether to profile external tables. Only Snowflake and Redshift supports this. Default: False
profiling.profile_if_updated_since_days number	Profile table only if it has been updated since these many number of days. If set to null, no constraint of last modified time for tables to profile. Supported only in snowflake and BigQuery.
profiling.profile_table_level_only boolean	Whether to perform profiling at table-level only, or include column-level profiling as well. Default: False
profiling.profile_table_row_count_estimate_only boolean	Use an approximate query for row count. This will be much faster but slightly less accurate. Only supported for Postgres and MySQL. Default: False
profiling.profile_table_row_limit integer	Profile tables only if their row count is less then specified count. If set to null, no limit on the row count of tables to profile. Supported only in snowflake and BigQuery Default: 5000000
profiling.profile_table_size_limit integer	Profile tables only if their size is less then specified GBs. If set to null, no limit on the size of tables to profile. Supported only in snowflake and BigQuery Default: 5
profiling.query_combiner_enabled boolean	This feature is still experimental and can be disabled if it causes issues. Reduces the total number of queries issued and speeds up profiling by dynamically combining SQL queries where possible. Default: True
profiling.report_dropped_profiles boolean	Whether to report datasets or dataset columns which were not profiled. Set to True for debugging purposes. Default: False
profiling.sample_size integer	Number of rows to be sampled from table for column level profiling.Applicable only if use_sampling is set to True. Default: 10000
profiling.turn_off_expensive_profiling_metrics boolean	Whether to turn off expensive profiling or not. This turns off profiling for quantiles, distinct_value_frequencies, histogram & sample_values. This also limits maximum number of fields being profiled to 10. Default: False
profiling.use_sampling boolean	Whether to profile column level stats on sample of table. Only BigQuery and Snowflake support this. If enabled, profiling is done on rows sampled from table. Sampling is not done for smaller tables. Default: True
profiling.operation_config OperationConfig	Experimental feature. To specify operation configs.
profiling.operation_config.lower_freq_profile_enabled boolean	Whether to do profiling at lower freq or not. This does not do any scheduling just adds additional checks to when not to run profiling. Default: False
profiling.operation_config.profile_date_of_month integer	Number between 1 to 31 for date of month (both inclusive). If not specified, defaults to Nothing and this field does not take affect.
profiling.operation_config.profile_day_of_week integer	Number between 0 to 6 for day of week (both inclusive). 0 is Monday and 6 is Sunday. If not specified, defaults to Nothing and this field does not take affect.
stateful_ingestion StatefulStaleMetadataRemovalConfig	Base specialized config for Stateful Ingestion with stale metadata removal capability.
stateful_ingestion.enabled boolean	Whether or not to enable stateful ingest. Default: True if datahub-rest sink is used or if a datahub_api is specified, otherwise False Default: False
stateful_ingestion.remove_stale_metadata boolean	Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled. Default: True

Schema

The JSONSchema for this configuration is inlined below.

{
  "title": "HanaConfig",
  "description": "Base configuration class for stateful ingestion for source configs to inherit from.",
  "type": "object",
  "properties": {
    "classification": {
      "title": "Classification",
      "description": "For details, refer [Classification](../../../../metadata-ingestion/docs/dev_guides/classification.md).",
      "default": {
        "enabled": false,
        "sample_size": 100,
        "max_workers": 4,
        "table_pattern": {
          "allow": [
            ".*"
          ],
          "deny": [],
          "ignoreCase": true
        },
        "column_pattern": {
          "allow": [
            ".*"
          ],
          "deny": [],
          "ignoreCase": true
        },
        "info_type_to_term": {},
        "classifiers": [
          {
            "type": "datahub",
            "config": null
          }
        ]
      },
      "allOf": [
        {
          "$ref": "#/definitions/ClassificationConfig"
        }
      ]
    },
    "incremental_lineage": {
      "title": "Incremental Lineage",
      "description": "When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run.",
      "default": false,
      "type": "boolean"
    },
    "convert_urns_to_lowercase": {
      "title": "Convert Urns To Lowercase",
      "description": "Whether to convert dataset urns to lowercase.",
      "default": false,
      "type": "boolean"
    },
    "env": {
      "title": "Env",
      "description": "The environment that all assets produced by this connector belong to",
      "default": "PROD",
      "type": "string"
    },
    "platform_instance": {
      "title": "Platform Instance",
      "description": "The instance of the platform that all assets produced by this recipe belong to",
      "type": "string"
    },
    "stateful_ingestion": {
      "$ref": "#/definitions/StatefulStaleMetadataRemovalConfig"
    },
    "options": {
      "title": "Options",
      "description": "Any options specified here will be passed to [SQLAlchemy.create_engine](https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine) as kwargs. To set connection arguments in the URL, specify them under `connect_args`.",
      "type": "object"
    },
    "schema_pattern": {
      "title": "Schema Pattern",
      "description": "Regex patterns for schemas to filter in ingestion. Specify regex to only match the schema name. e.g. to match all tables in schema analytics, use the regex 'analytics'",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "table_pattern": {
      "title": "Table Pattern",
      "description": "Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "view_pattern": {
      "title": "View Pattern",
      "description": "Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "profile_pattern": {
      "title": "Profile Pattern",
      "description": "Regex patterns to filter tables (or specific columns) for profiling during ingestion. Note that only tables allowed by the `table_pattern` will be considered.",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "domain": {
      "title": "Domain",
      "description": "Attach domains to databases, schemas or tables during ingestion using regex patterns. Domain key can be a guid like *urn:li:domain:ec428203-ce86-4db3-985d-5a8ee6df32ba* or a string like \"Marketing\".) If you provide strings, then datahub will attempt to resolve this name to a guid, and will error out if this fails. There can be multiple domain keys specified.",
      "default": {},
      "type": "object",
      "additionalProperties": {
        "$ref": "#/definitions/AllowDenyPattern"
      }
    },
    "include_views": {
      "title": "Include Views",
      "description": "Whether views should be ingested.",
      "default": true,
      "type": "boolean"
    },
    "include_tables": {
      "title": "Include Tables",
      "description": "Whether tables should be ingested.",
      "default": true,
      "type": "boolean"
    },
    "include_table_location_lineage": {
      "title": "Include Table Location Lineage",
      "description": "If the source supports it, include table lineage to the underlying storage location.",
      "default": true,
      "type": "boolean"
    },
    "include_view_lineage": {
      "title": "Include View Lineage",
      "description": "Populates view->view and table->view lineage using DataHub's sql parser.",
      "default": true,
      "type": "boolean"
    },
    "include_view_column_lineage": {
      "title": "Include View Column Lineage",
      "description": "Populates column-level lineage for  view->view and table->view lineage using DataHub's sql parser. Requires `include_view_lineage` to be enabled.",
      "default": true,
      "type": "boolean"
    },
    "use_file_backed_cache": {
      "title": "Use File Backed Cache",
      "description": "Whether to use a file backed cache for the view definitions.",
      "default": true,
      "type": "boolean"
    },
    "profiling": {
      "title": "Profiling",
      "default": {
        "enabled": false,
        "operation_config": {
          "lower_freq_profile_enabled": false,
          "profile_day_of_week": null,
          "profile_date_of_month": null
        },
        "limit": null,
        "offset": null,
        "report_dropped_profiles": false,
        "turn_off_expensive_profiling_metrics": false,
        "profile_table_level_only": false,
        "include_field_null_count": true,
        "include_field_distinct_count": true,
        "include_field_min_value": true,
        "include_field_max_value": true,
        "include_field_mean_value": true,
        "include_field_median_value": true,
        "include_field_stddev_value": true,
        "include_field_quantiles": false,
        "include_field_distinct_value_frequencies": false,
        "include_field_histogram": false,
        "include_field_sample_values": true,
        "field_sample_values_limit": 20,
        "max_number_of_fields_to_profile": null,
        "profile_if_updated_since_days": null,
        "profile_table_size_limit": 5,
        "profile_table_row_limit": 5000000,
        "profile_table_row_count_estimate_only": false,
        "max_workers": 20,
        "query_combiner_enabled": true,
        "catch_exceptions": true,
        "partition_profiling_enabled": true,
        "partition_datetime": null,
        "use_sampling": true,
        "sample_size": 10000,
        "profile_external_tables": false
      },
      "allOf": [
        {
          "$ref": "#/definitions/GEProfilingConfig"
        }
      ]
    },
    "username": {
      "title": "Username",
      "description": "username",
      "type": "string"
    },
    "password": {
      "title": "Password",
      "description": "password",
      "type": "string",
      "writeOnly": true,
      "format": "password"
    },
    "host_port": {
      "title": "Host Port",
      "default": "localhost:39041",
      "type": "string"
    },
    "database": {
      "title": "Database",
      "description": "database (catalog)",
      "type": "string"
    },
    "scheme": {
      "title": "Scheme",
      "default": "hana+hdbcli",
      "type": "string"
    },
    "sqlalchemy_uri": {
      "title": "Sqlalchemy Uri",
      "description": "URI of database to connect to. See https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls. Takes precedence over other connection parameters.",
      "type": "string"
    }
  },
  "additionalProperties": false,
  "definitions": {
    "AllowDenyPattern": {
      "title": "AllowDenyPattern",
      "description": "A class to store allow deny regexes",
      "type": "object",
      "properties": {
        "allow": {
          "title": "Allow",
          "description": "List of regex patterns to include in ingestion",
          "default": [
            ".*"
          ],
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "deny": {
          "title": "Deny",
          "description": "List of regex patterns to exclude from ingestion.",
          "default": [],
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "ignoreCase": {
          "title": "Ignorecase",
          "description": "Whether to ignore case sensitivity during pattern matching.",
          "default": true,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    },
    "DynamicTypedClassifierConfig": {
      "title": "DynamicTypedClassifierConfig",
      "type": "object",
      "properties": {
        "type": {
          "title": "Type",
          "description": "The type of the classifier to use. For DataHub,  use `datahub`",
          "type": "string"
        },
        "config": {
          "title": "Config",
          "description": "The configuration required for initializing the classifier. If not specified, uses defaults for classifer type."
        }
      },
      "required": [
        "type"
      ],
      "additionalProperties": false
    },
    "ClassificationConfig": {
      "title": "ClassificationConfig",
      "type": "object",
      "properties": {
        "enabled": {
          "title": "Enabled",
          "description": "Whether classification should be used to auto-detect glossary terms",
          "default": false,
          "type": "boolean"
        },
        "sample_size": {
          "title": "Sample Size",
          "description": "Number of sample values used for classification.",
          "default": 100,
          "type": "integer"
        },
        "max_workers": {
          "title": "Max Workers",
          "description": "Number of worker threads to use for classification. Set to 1 to disable.",
          "default": 4,
          "type": "integer"
        },
        "table_pattern": {
          "title": "Table Pattern",
          "description": "Regex patterns to filter tables for classification. This is used in combination with other patterns in parent config. Specify regex to match the entire table name in `database.schema.table` format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
          "default": {
            "allow": [
              ".*"
            ],
            "deny": [],
            "ignoreCase": true
          },
          "allOf": [
            {
              "$ref": "#/definitions/AllowDenyPattern"
            }
          ]
        },
        "column_pattern": {
          "title": "Column Pattern",
          "description": "Regex patterns to filter columns for classification. This is used in combination with other patterns in parent config. Specify regex to match the column name in `database.schema.table.column` format.",
          "default": {
            "allow": [
              ".*"
            ],
            "deny": [],
            "ignoreCase": true
          },
          "allOf": [
            {
              "$ref": "#/definitions/AllowDenyPattern"
            }
          ]
        },
        "info_type_to_term": {
          "title": "Info Type To Term",
          "description": "Optional mapping to provide glossary term identifier for info type",
          "default": {},
          "type": "object",
          "additionalProperties": {
            "type": "string"
          }
        },
        "classifiers": {
          "title": "Classifiers",
          "description": "Classifiers to use to auto-detect glossary terms. If more than one classifier, infotype predictions from the classifier defined later in sequence take precedance.",
          "default": [
            {
              "type": "datahub",
              "config": null
            }
          ],
          "type": "array",
          "items": {
            "$ref": "#/definitions/DynamicTypedClassifierConfig"
          }
        }
      },
      "additionalProperties": false
    },
    "DynamicTypedStateProviderConfig": {
      "title": "DynamicTypedStateProviderConfig",
      "type": "object",
      "properties": {
        "type": {
          "title": "Type",
          "description": "The type of the state provider to use. For DataHub use `datahub`",
          "type": "string"
        },
        "config": {
          "title": "Config",
          "description": "The configuration required for initializing the state provider. Default: The datahub_api config if set at pipeline level. Otherwise, the default DatahubClientConfig. See the defaults (https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/src/datahub/ingestion/graph/client.py#L19).",
          "default": {},
          "type": "object"
        }
      },
      "required": [
        "type"
      ],
      "additionalProperties": false
    },
    "StatefulStaleMetadataRemovalConfig": {
      "title": "StatefulStaleMetadataRemovalConfig",
      "description": "Base specialized config for Stateful Ingestion with stale metadata removal capability.",
      "type": "object",
      "properties": {
        "enabled": {
          "title": "Enabled",
          "description": "Whether or not to enable stateful ingest. Default: True if datahub-rest sink is used or if a `datahub_api` is specified, otherwise False",
          "default": false,
          "type": "boolean"
        },
        "remove_stale_metadata": {
          "title": "Remove Stale Metadata",
          "description": "Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled.",
          "default": true,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    },
    "OperationConfig": {
      "title": "OperationConfig",
      "type": "object",
      "properties": {
        "lower_freq_profile_enabled": {
          "title": "Lower Freq Profile Enabled",
          "description": "Whether to do profiling at lower freq or not. This does not do any scheduling just adds additional checks to when not to run profiling.",
          "default": false,
          "type": "boolean"
        },
        "profile_day_of_week": {
          "title": "Profile Day Of Week",
          "description": "Number between 0 to 6 for day of week (both inclusive). 0 is Monday and 6 is Sunday. If not specified, defaults to Nothing and this field does not take affect.",
          "type": "integer"
        },
        "profile_date_of_month": {
          "title": "Profile Date Of Month",
          "description": "Number between 1 to 31 for date of month (both inclusive). If not specified, defaults to Nothing and this field does not take affect.",
          "type": "integer"
        }
      },
      "additionalProperties": false
    },
    "GEProfilingConfig": {
      "title": "GEProfilingConfig",
      "type": "object",
      "properties": {
        "enabled": {
          "title": "Enabled",
          "description": "Whether profiling should be done.",
          "default": false,
          "type": "boolean"
        },
        "operation_config": {
          "title": "Operation Config",
          "description": "Experimental feature. To specify operation configs.",
          "allOf": [
            {
              "$ref": "#/definitions/OperationConfig"
            }
          ]
        },
        "limit": {
          "title": "Limit",
          "description": "Max number of documents to profile. By default, profiles all documents.",
          "type": "integer"
        },
        "offset": {
          "title": "Offset",
          "description": "Offset in documents to profile. By default, uses no offset.",
          "type": "integer"
        },
        "report_dropped_profiles": {
          "title": "Report Dropped Profiles",
          "description": "Whether to report datasets or dataset columns which were not profiled. Set to `True` for debugging purposes.",
          "default": false,
          "type": "boolean"
        },
        "turn_off_expensive_profiling_metrics": {
          "title": "Turn Off Expensive Profiling Metrics",
          "description": "Whether to turn off expensive profiling or not. This turns off profiling for quantiles, distinct_value_frequencies, histogram & sample_values. This also limits maximum number of fields being profiled to 10.",
          "default": false,
          "type": "boolean"
        },
        "profile_table_level_only": {
          "title": "Profile Table Level Only",
          "description": "Whether to perform profiling at table-level only, or include column-level profiling as well.",
          "default": false,
          "type": "boolean"
        },
        "include_field_null_count": {
          "title": "Include Field Null Count",
          "description": "Whether to profile for the number of nulls for each column.",
          "default": true,
          "type": "boolean"
        },
        "include_field_distinct_count": {
          "title": "Include Field Distinct Count",
          "description": "Whether to profile for the number of distinct values for each column.",
          "default": true,
          "type": "boolean"
        },
        "include_field_min_value": {
          "title": "Include Field Min Value",
          "description": "Whether to profile for the min value of numeric columns.",
          "default": true,
          "type": "boolean"
        },
        "include_field_max_value": {
          "title": "Include Field Max Value",
          "description": "Whether to profile for the max value of numeric columns.",
          "default": true,
          "type": "boolean"
        },
        "include_field_mean_value": {
          "title": "Include Field Mean Value",
          "description": "Whether to profile for the mean value of numeric columns.",
          "default": true,
          "type": "boolean"
        },
        "include_field_median_value": {
          "title": "Include Field Median Value",
          "description": "Whether to profile for the median value of numeric columns.",
          "default": true,
          "type": "boolean"
        },
        "include_field_stddev_value": {
          "title": "Include Field Stddev Value",
          "description": "Whether to profile for the standard deviation of numeric columns.",
          "default": true,
          "type": "boolean"
        },
        "include_field_quantiles": {
          "title": "Include Field Quantiles",
          "description": "Whether to profile for the quantiles of numeric columns.",
          "default": false,
          "type": "boolean"
        },
        "include_field_distinct_value_frequencies": {
          "title": "Include Field Distinct Value Frequencies",
          "description": "Whether to profile for distinct value frequencies.",
          "default": false,
          "type": "boolean"
        },
        "include_field_histogram": {
          "title": "Include Field Histogram",
          "description": "Whether to profile for the histogram for numeric fields.",
          "default": false,
          "type": "boolean"
        },
        "include_field_sample_values": {
          "title": "Include Field Sample Values",
          "description": "Whether to profile for the sample values for all columns.",
          "default": true,
          "type": "boolean"
        },
        "field_sample_values_limit": {
          "title": "Field Sample Values Limit",
          "description": "Upper limit for number of sample values to collect for all columns.",
          "default": 20,
          "type": "integer"
        },
        "max_number_of_fields_to_profile": {
          "title": "Max Number Of Fields To Profile",
          "description": "A positive integer that specifies the maximum number of columns to profile for any table. `None` implies all columns. The cost of profiling goes up significantly as the number of columns to profile goes up.",
          "exclusiveMinimum": 0,
          "type": "integer"
        },
        "profile_if_updated_since_days": {
          "title": "Profile If Updated Since Days",
          "description": "Profile table only if it has been updated since these many number of days. If set to `null`, no constraint of last modified time for tables to profile. Supported only in `snowflake` and `BigQuery`.",
          "exclusiveMinimum": 0,
          "type": "number"
        },
        "profile_table_size_limit": {
          "title": "Profile Table Size Limit",
          "description": "Profile tables only if their size is less then specified GBs. If set to `null`, no limit on the size of tables to profile. Supported only in `snowflake` and `BigQuery`",
          "default": 5,
          "type": "integer"
        },
        "profile_table_row_limit": {
          "title": "Profile Table Row Limit",
          "description": "Profile tables only if their row count is less then specified count. If set to `null`, no limit on the row count of tables to profile. Supported only in `snowflake` and `BigQuery`",
          "default": 5000000,
          "type": "integer"
        },
        "profile_table_row_count_estimate_only": {
          "title": "Profile Table Row Count Estimate Only",
          "description": "Use an approximate query for row count. This will be much faster but slightly less accurate. Only supported for Postgres and MySQL. ",
          "default": false,
          "type": "boolean"
        },
        "max_workers": {
          "title": "Max Workers",
          "description": "Number of worker threads to use for profiling. Set to 1 to disable.",
          "default": 20,
          "type": "integer"
        },
        "query_combiner_enabled": {
          "title": "Query Combiner Enabled",
          "description": "*This feature is still experimental and can be disabled if it causes issues.* Reduces the total number of queries issued and speeds up profiling by dynamically combining SQL queries where possible.",
          "default": true,
          "type": "boolean"
        },
        "catch_exceptions": {
          "title": "Catch Exceptions",
          "default": true,
          "type": "boolean"
        },
        "partition_profiling_enabled": {
          "title": "Partition Profiling Enabled",
          "description": "Whether to profile partitioned tables. Only BigQuery supports this. If enabled, latest partition data is used for profiling.",
          "default": true,
          "type": "boolean"
        },
        "partition_datetime": {
          "title": "Partition Datetime",
          "description": "If specified, profile only the partition which matches this datetime. If not specified, profile the latest partition. Only Bigquery supports this.",
          "type": "string",
          "format": "date-time"
        },
        "use_sampling": {
          "title": "Use Sampling",
          "description": "Whether to profile column level stats on sample of table. Only BigQuery and Snowflake support this. If enabled, profiling is done on rows sampled from table. Sampling is not done for smaller tables. ",
          "default": true,
          "type": "boolean"
        },
        "sample_size": {
          "title": "Sample Size",
          "description": "Number of rows to be sampled from table for column level profiling.Applicable only if `use_sampling` is set to True.",
          "default": 10000,
          "type": "integer"
        },
        "profile_external_tables": {
          "title": "Profile External Tables",
          "description": "Whether to profile external tables. Only Snowflake and Redshift supports this.",
          "default": false,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    }
  }
}

Integration Details

The implementation uses the SQLAlchemy Dialect for SAP HANA. The SQLAlchemy Dialect for SAP HANA is an open-source project hosted at GitHub that is actively maintained by SAP SE, and is not part of a licensed SAP HANA edition or option. It is provided under the terms of the project license. Please notice that sqlalchemy-hana isn't an official SAP product and isn't covered by SAP support.

Compatibility

Under the hood, SQLAlchemy Dialect for SAP HANA uses the SAP HANA Python Driver hdbcli. Therefore it is compatible with HANA or HANA express versions since HANA SPS 2.

Questions

If you've got any questions on configuring this source, feel free to ping us on our Slack!

Code Coordinates

• Class Name: datahub.ingestion.source.sql.hana.HanaSource
• Browse on GitHub

Questions

If you've got any questions on configuring ingestion for SAP HANA, feel free to ping us on our Slack.