数据质量规则报告表 | IBM Cloud Pak for Data as a Service

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数据质量规则报告表

Last updated: 2024年12月13日

数据质量规则报告表

检查表格的 Postgres, Db2 语句是否与数据质量有关。

主题区域	表名	描述
数据质量规则	dq_issues_for_asset_columns	列的数据质量问题。
数据质量规则	dq_issues_for_assets	资产进行质量分析以确定总体数据质量时观察到的问题。
数据质量规则	dq_支票	有关数据质量检查的信息。
数据质量规则	dq_v4_dimensions	有关规则的质量维度的信息，例如，存在重复项。
数据质量规则	dq_rule_Definitions	数据质量规则定义。
数据质量规则	dq_rules_defs	数据质量规则定义。
数据质量规则	dq_rules	数据质量规则信息。
数据质量规则	dq_rule_bindings	数据质量规则的规则绑定。
数据质量规则	dq_rule_execution	数据质量规则作业的调度时间。

dq_issues_for_asset_columns 表

此表具有以下列:

issue_id -资产问题的标识。
asset_id -资产的标识。
container_id -项目的标识。
column_name -为其运行数据 qulaity 规则和分析的列名。
check_id -数据质量检查的标识。
number_of_occurences -为数据质量检查找到的出现次数。
number_of_tested_records -为数据质量检查找到的已测试记录数。
percent_occurences -发生次数的百分比。
score -运行检查后找到分数。
status -问题的当前状态。
ignored -用于标识当前问题参与数据质量问题的轮次的标志。

Postgres

CREATE TABLE 语句:

CREATE TABLE IF NOT EXISTS dq_issues_for_asset_columns (
  issue_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  container_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  column_name character varying(256) COLLATE pg_catalog.default NOT NULL,
  asset_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  check_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  number_of_occurrences bigint NOT NULL DEFAULT 0,
  number_of_tested_records bigint NOT NULL DEFAULT 0,
  percent_occurrences double precision,
  score double precision,
  status character varying(16) COLLATE pg_catalog.default NOT NULL,
  ignored boolean NOT NULL,
  tech_start timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  tech_end timestamp(6) without time zone NOT NULL DEFAULT to_timestamp('9999-12-30' :: text, 'YYYY-MM-DD' :: text),
  ts_id timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  CONSTRAINT dq_issues_for_asset_columns_pkey PRIMARY KEY (issue_id, asset_id, container_id, column_name),
  CONSTRAINT fk_dq_issues_for_asset_columns_container_data_asset_columns_6 FOREIGN KEY (container_id, asset_id, column_name) REFERENCES container_data_asset_columns (container_id, asset_id, name) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE,
  CONSTRAINT fk_dq_issues_for_asset_columns_dq_checks_5 FOREIGN KEY (container_id, check_id) REFERENCES dq_checks (container_id, check_id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE
)

Db2

CREATE TABLE 语句:

CREATE TABLE DQ_ISSUES_FOR_ASSET_COLUMNS (
  ISSUE_ID VARCHAR(36 OCTETS) NOT NULL,
  CONTAINER_ID VARCHAR(36 OCTETS) NOT NULL,
  COLUMN_NAME VARCHAR(256 OCTETS) NOT NULL,
  ASSET_ID VARCHAR(36 OCTETS) NOT NULL,
  CHECK_ID VARCHAR(36 OCTETS) NOT NULL,
  NUMBER_OF_OCCURRENCES BIGINT NOT NULL WITH DEFAULT 0,
  NUMBER_OF_TESTED_RECORDS BIGINT NOT NULL WITH DEFAULT 0,
  PERCENT_OCCURRENCES DOUBLE,
  SCORE DOUBLE,
  STATUS VARCHAR(16 OCTETS) NOT NULL,
  IGNORED BOOLEAN NOT NULL,
  TECH_START TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW BEGIN,
  TECH_END TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW END,
  TS_ID TIMESTAMP(12) NOT NULL GENERATED ALWAYS AS TRANSACTION START ID,
  PERIOD SYSTEM_TIME (TECH_START, TECH_END)
) IN USERSPACE1 ORGANIZE BY ROW;

ALTER TABLE 语句:

ALTER TABLE
  DQ_ISSUES_FOR_ASSET_COLUMNS
ADD
  PRIMARY KEY (
    ISSUE_ID,
    ASSET_ID,
    CONTAINER_ID,
    COLUMN_NAME
  ) ENFORCED;

ALTER TABLE
  DQ_ISSUES_FOR_ASSET_COLUMNS
ADD
  CONSTRAINT FK_DQ_ISSUES_FOR_ASSET_COLUMNS_CONTAINER_DATA_ASSET_COLUMNS_6 FOREIGN KEY (CONTAINER_ID, ASSET_ID, COLUMN_NAME) REFERENCES CONTAINER_DATA_ASSET_COLUMNS (CONTAINER_ID, ASSET_ID, NAME) ON DELETE CASCADE ON UPDATE NO ACTION ENFORCED ENABLE QUERY OPTIMIZATION;

ALTER TABLE
  DQ_ISSUES_FOR_ASSET_COLUMNS
ADD
  CONSTRAINT FK_DQ_ISSUES_FOR_ASSET_COLUMNS_DQ_CHECKS_5 FOREIGN KEY (CHECK_ID, CONTAINER_ID) REFERENCES DQ_CHECKS (CHECK_ID, CONTAINER_ID) ON DELETE CASCADE ON UPDATE NO ACTION ENFORCED ENABLE QUERY OPTIMIZATION;

dq_issues_for_assets

此表具有以下列:

issue_id -资产问题的标识。
container_id -项目的标识。
asset_id -资产的标识。
check_id -数据质量检查的标识。
number_of_occurences -为数据质量检查找到的出现次数。
number_of_tested_records -为数据质量检查找到的已测试记录数。
percent_occurences -发生次数的百分比。
score -运行检查后找到分数。
status -问题的当前状态。
ignored -用于标识当前问题是否参与数据质量问题的标志。

Postgres

CREATE TABLE 语句:

CREATE TABLE IF NOT EXISTS dq_issues_for_assets (
  issue_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  container_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  asset_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  check_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  number_of_occurrences bigint NOT NULL DEFAULT 0,
  number_of_tested_records bigint NOT NULL DEFAULT 0,
  percent_occurrences double precision,
  score double precision,
  status character varying(16) COLLATE pg_catalog.default NOT NULL,
  ignored boolean NOT NULL,
  tech_start timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  tech_end timestamp(6) without time zone NOT NULL DEFAULT to_timestamp('9999-12-30' :: text, 'YYYY-MM-DD' :: text),
  ts_id timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  CONSTRAINT dq_issues_for_assets_pkey PRIMARY KEY (issue_id, asset_id, container_id),
  CONSTRAINT fk_dq_issues_for_assets_container_data_assets_4 FOREIGN KEY (container_id, asset_id) REFERENCES container_data_assets (container_id, asset_id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE,
  CONSTRAINT fk_dq_issues_for_assets_dq_checks_3 FOREIGN KEY (container_id, check_id) REFERENCES dq_checks (container_id, check_id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE
)

Db2

CREATE TABLE 语句:

CREATE TABLE DQ_ISSUES_FOR_ASSETS (
  ISSUE_ID VARCHAR(36 OCTETS) NOT NULL,
  CONTAINER_ID VARCHAR(36 OCTETS) NOT NULL,
  ASSET_ID VARCHAR(36 OCTETS) NOT NULL,
  CHECK_ID VARCHAR(36 OCTETS) NOT NULL,
  NUMBER_OF_OCCURRENCES BIGINT NOT NULL WITH DEFAULT 0,
  NUMBER_OF_TESTED_RECORDS BIGINT NOT NULL WITH DEFAULT 0,
  PERCENT_OCCURRENCES DOUBLE,
  SCORE DOUBLE,
  STATUS VARCHAR(16 OCTETS) NOT NULL,
  IGNORED BOOLEAN NOT NULL,
  TECH_START TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW BEGIN,
  TECH_END TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW END,
  TS_ID TIMESTAMP(12) NOT NULL GENERATED ALWAYS AS TRANSACTION START ID,
  PERIOD SYSTEM_TIME (TECH_START, TECH_END)
) IN USERSPACE1 ORGANIZE BY ROW;

ALTER TABLE 语句:

ALTER TABLE
  DQ_ISSUES_FOR_ASSETS
ADD
  PRIMARY KEY (ISSUE_ID, ASSET_ID, CONTAINER_ID) ENFORCED;

ALTER TABLE
  DQ_ISSUES_FOR_ASSETS
ADD
  CONSTRAINT FK_DQ_ISSUES_FOR_ASSETS_CONTAINER_DATA_ASSETS_4 FOREIGN KEY (CONTAINER_ID, ASSET_ID) REFERENCES CONTAINER_DATA_ASSETS (CONTAINER_ID, ASSET_ID) ON DELETE CASCADE ON UPDATE NO ACTION ENFORCED ENABLE QUERY OPTIMIZATION;

ALTER TABLE
  DQ_ISSUES_FOR_ASSETS
ADD
  CONSTRAINT FK_DQ_ISSUES_FOR_ASSETS_DQ_CHECKS_3 FOREIGN KEY (CHECK_ID, CONTAINER_ID) REFERENCES DQ_CHECKS (CHECK_ID, CONTAINER_ID) ON DELETE CASCADE ON UPDATE NO ACTION ENFORCED ENABLE QUERY OPTIMIZATION;

dq_支票表

此表具有以下列:

check_id -数据质量检查的标识。
container_id -项目的标识。
dq_check_type -数据质量检查的类型 (可以是 profilling 或 data_rule)。
dq_check_name -数据质量检查的名称。
dq_dimension_id -数据质量维度的标识。
created_by -创建此数据质量检查的用户。
created_on -数据质量检查的创建时间。

Postgres

CREATE TABLE 语句:

CREATE TABLE IF NOT EXISTS dq_checks (
  check_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  container_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  dq_check_type character varying(256) COLLATE pg_catalog.default NOT NULL,
  dq_check_name character varying(256) COLLATE pg_catalog.default NOT NULL,
  dq_dimension_id character varying(36) COLLATE pg_catalog.default NOT NULL,
  created_by character varying(256) COLLATE pg_catalog.default NOT NULL,
  created_on timestamp(6) without time zone NOT NULL,
  tech_start timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  tech_end timestamp(6) without time zone NOT NULL DEFAULT to_timestamp('9999-12-30' :: text, 'YYYY-MM-DD' :: text),
  ts_id timestamp(6) without time zone NOT NULL DEFAULT CURRENT_TIMESTAMP,
  CONSTRAINT dq_checks_pkey PRIMARY KEY (check_id, container_id),
  CONSTRAINT fk_dq_checks_containers_1 FOREIGN KEY (container_id) REFERENCES containers (container_id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE,
  CONSTRAINT fk_dq_checks_dq_v4_dimensions_2 FOREIGN KEY (dq_dimension_id) REFERENCES dq_v4_dimensions (dimension_id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE
)

Db2

CREATE TABLE 语句:

 CREATE TABLE   DQ_CHECKS   (
 CHECK_ID  VARCHAR(36 OCTETS) NOT NULL ,
 CONTAINER_ID  VARCHAR(36 OCTETS) NOT NULL ,
 DQ_CHECK_TYPE  VARCHAR(256 OCTETS) NOT NULL ,
 DQ_CHECK_NAME  VARCHAR(256 OCTETS) NOT NULL ,
 DQ_DIMENSION_ID  VARCHAR(36 OCTETS) NOT NULL ,
 CREATED_BY  VARCHAR(256 OCTETS) NOT NULL ,
 CREATED_ON  TIMESTAMP(12) NOT NULL ,
 TECH_START  TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW BEGIN ,
 TECH_END  TIMESTAMP(12) NOT NULL IMPLICITLY HIDDEN GENERATED ALWAYS AS ROW END ,
 TS_ID  TIMESTAMP(12) NOT NULL GENERATED ALWAYS AS TRANSACTION START ID ,
 PERIOD SYSTEM_TIME ( TECH_START , TECH_END ) )
 IN  USERSPACE1
 ORGANIZE BY ROW;

ALTER TABLE 语句:

 ALTER TABLE   DQ_CHECKS
 ADD PRIMARY KEY
 ( CHECK_ID ,
 CONTAINER_ID )
 ENFORCED;

ALTER TABLE   DQ_CHECKS
ADD CONSTRAINT  FK_DQ_CHECKS_CONTAINERS_1  FOREIGN KEY
( CONTAINER_ID )
REFERENCES   CONTAINERS
( CONTAINER_ID )
ON DELETE CASCADE
ON UPDATE NO ACTION
ENFORCED
ENABLE QUERY OPTIMIZATION;

ALTER TABLE   DQ_CHECKS
ADD CONSTRAINT  FK_DQ_CHECKS_DQ_V4_DIMENSIONS_2  FOREIGN KEY
( DQ_DIMENSION_ID )
REFERENCES   DQ_V4_DIMENSIONS
( DIMENSION_ID )
ON DELETE CASCADE
ON UPDATE NO ACTION
ENFORCED
ENABLE QUERY OPTIMIZATION;

dq_v4_dimensions 表

此表包含有关规则的质量维度的信息。

此表具有以下列:

dimension_id -数据质量维度的标识。
name -数据质量维度的名称。
description -数据质量维度的描述。

Postgres

CREATE TABLE 语句:

create table dq_v4_dimensions(dimension_id varchar(128) not null,
container_id varchar(36) not null,
name varchar(256) not null,
description varchar(256) not null,
tech_start TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
tech_end TIMESTAMP(6) not null default to_timestamp('9999-12-30', 'YYYY-MM-DD'),
ts_id TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
primary key(dimension_id,
container_id))

ALTER TABLE 语句:

alter table dq_v4_dimensions add constraint fk_dq_v4_dimensions_containers_1 foreign key (container_id) references containers(container_id) on
delete
	cascade on
	update
	no action

ALTER TABLE 语句:

ALTER TABLE IF EXISTS  dq_v4_dimensions
    OWNER to postgres;

Db2

CREATE TABLE 语句:

create table dq_v4_dimensions(dimension_id varchar(128) not null,
container_id varchar(36) not null,
name varchar(256) not null,
description varchar(256) not null,
tech_start TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row begin,
tech_end TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row
end,
ts_id TIMESTAMP(12) not null generated always as transaction start ID,
primary key(dimension_id,
container_id),
period SYSTEM_TIME (tech_start,
tech_end) ) ORGANIZE by row

ALTER TABLE 语句:

alter table dq_v4_dimensions add constraint fk_dq_v4_dimensions_containers_1 foreign key (container_id) references containers(container_id) on
delete
	cascade on
	update
	no action

dq_rule_definition 表

此表包含数据质量规则的实际元数据。

此表具有以下列:

rule_definition_id -数据质量规则定义的标识。
container_id -目录或项目的标识。
expression -数据质量规则定义的表达式。
dq_dimension_id -数据质量维度的标识。
name -数据质量定义的名称。

Postgres

CREATE TABLE 语句:

create table dq_rule_definitions(rule_definition_id varchar(128) not null,
container_id varchar(36) not null,
expression text not null,
dq_dimension_id varchar(128),
name varchar(256) not null,
tech_start TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
tech_end TIMESTAMP(6) not null default to_timestamp('9999-12-30', 'YYYY-MM-DD'),
ts_id TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
primary key(rule_definition_id))

ALTER TABLE 语句:

alter table dq_rule_definitions add constraint fk_dq_rule_definitions_containers_2 foreign key (container_id) references containers(container_id) on
delete
	cascade on
	update
	no action

alter table dq_rule_definitions add constraint fk_dq_rule_definitions_dq_v4_dimensions_3 foreign key (dq_dimension_id,
container_id) references dq_v4_dimensions(dimension_id,
container_id) on
delete
	cascade on
	update
	no action

Db2

CREATE TABLE 语句:

create table dq_rule_definitions(rule_definition_id varchar(128) not null,
container_id varchar(36) not null,
expression clob not null,
dq_dimension_id varchar(128),
name varchar(256) not null,
tech_start TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row begin,
tech_end TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row
end,
ts_id TIMESTAMP(12) not null generated always as transaction start ID,
primary key(rule_definition_id),
period SYSTEM_TIME (tech_start,
tech_end) ) ORGANIZE by row

ALTER TABLE 语句:

alter table dq_rule_definitions add constraint fk_dq_rule_definitions_containers_2 foreign key (container_id) references containers(container_id) on
delete
	cascade on
	update
	no action

alter table dq_rule_definitions add constraint fk_dq_rule_definitions_dq_v4_dimensions_3 foreign key (dq_dimension_id,
container_id) references dq_v4_dimensions(dimension_id,
container_id) on
delete
	cascade on
	update
	no action

dq_rules_defs 表

此表包含规则与定义之间的绑定的详细信息，因为可以进行多个绑定。

此表具有以下列:

rule_id -数据质量规则的标识。
rule_definition_id -规则定义的标识。
disambiguator -消岐器编号。

Postgres

CREATE TABLE 语句:

create table dq_rules_defs(rule_id varchar(128) not null,
rule_definition_id varchar(128) not null,
disambiguator integer,
tech_start TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
tech_end TIMESTAMP(6) not null default to_timestamp('9999-12-30', 'YYYY-MM-DD'),
ts_id TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
primary key(rule_id,
rule_definition_id))

ALTER TABLE 语句:

alter table dq_rules_defs add constraint fk_dq_rules_defs_dq_rules_1 foreign key (rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

alter table dq_rules_defs add constraint fk_dq_rules_defs_dq_rule_definitions_2 foreign key (rule_definition_id) references dq_rule_definitions(rule_definition_id) on
delete
	cascade on
	update
	no action

Db2

CREATE TABLE 语句:

create table dq_rules_defs(rule_id varchar(128) not null,
rule_definition_id varchar(128) not null,
disambiguator integer,
tech_start TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row begin,
tech_end TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row
end,
ts_id TIMESTAMP(12) not null generated always as transaction start ID,
primary key(rule_id,
rule_definition_id),
period SYSTEM_TIME (tech_start,
tech_end) ) ORGANIZE by row

ALTER TABLE 语句:

alter table dq_rules_defs add constraint fk_dq_rules_defs_dq_rules_1 foreign key (rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

alter table dq_rules_defs add constraint fk_dq_rules_defs_dq_rule_definitions_2 foreign key (rule_definition_id) references dq_rule_definitions(rule_definition_id) on
delete
	cascade on
	update
	no action

dq_rules 表

此表包含有关数据质量规则的信息。

此表具有以下列:

rule_id -数据质量规则的标识。
container_id -目录或项目的标识。
dq_dimension_id -数据质量规则维度的标识。
name -数据质量规则的名称。
output_asset_id -输出资产的标识。
output_asset_container_id -输出目录或项目的标识。

Postgres

CREATE TABLE 语句:

create table dq_rules(rule_id varchar(128) not null,
container_id varchar(36) not null,
dq_dimension_id varchar(128),
name varchar(256) not null,
output_asset_id varchar(128),
output_asset_container_id varchar(36),
tech_start TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
tech_end TIMESTAMP(6) not null default to_timestamp('9999-12-30', 'YYYY-MM-DD'),
ts_id TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
primary key(rule_id))

ALTER TABLE 语句:

alter table dq_rules add constraint fk_dq_rules_dq_v4_dimensions_5 foreign key (dq_dimension_id,
container_id) references dq_v4_dimensions(dimension_id,
container_id) on
delete
	cascade on
	update
	no action

Db2

CREATE TABLE 语句:

create table dq_rules(rule_id varchar(128) not null,
container_id varchar(36) not null,
dq_dimension_id varchar(128),
name varchar(256) not null,
output_asset_id varchar(128),
output_asset_container_id varchar(36),
tech_start TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row begin,
tech_end TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row
end,
ts_id TIMESTAMP(12) not null generated always as transaction start ID,
primary key(rule_id),
period SYSTEM_TIME (tech_start,
tech_end) ) ORGANIZE by row

ALTER TABLE 语句:

alter table dq_rules add constraint fk_dq_rules_dq_v4_dimensions_5 foreign key (dq_dimension_id,
container_id) references dq_v4_dimensions(dimension_id,
container_id) on
delete
	cascade on
	update
	no action

dq_rule_bindings 表

此表包含有关数据质量规则绑定的信息。

此表具有以下列:

rule_id -数据质量规则的标识。
rule_definition_id -规则定义的标识。
variable_name -绑定到数据质量规则的列的变量的标识。
column_name -列的名称。
container_id -目录或项目的标识。
asset_id -资产的标识。

Postgres

CREATE TABLE 语句:

create table dq_rule_bindings(rule_id varchar(128) not null,
variable_name varchar(256) not null,
column_name varchar(256) not null,
container_id varchar(36) not null,
asset_id varchar(128) not null,
rule_definition_id varchar(128) default 'na' not null,
tech_start TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
tech_end TIMESTAMP(6) not null default to_timestamp('9999-12-30', 'YYYY-MM-DD'),
ts_id TIMESTAMP(6) not null default CURRENT_TIMESTAMP,
primary key(rule_id,
rule_definition_id,
variable_name,
column_name))

ALTER TABLE 语句:

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_dq_rules_6 foreign key (rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_container_data_asset_columns_7 foreign key (container_id,
asset_id,
column_name) references container_data_asset_columns(container_id,
asset_id,
name) on
delete
	cascade on
	update
	no action

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_dq_rules_defs_3 foreign key (rule_id,
rule_definition_id) references dq_rules_defs(rule_id,
rule_definition_id) on
delete
	cascade on
	update
	no action

Db2

CREATE TABLE 语句:

create table dq_rule_bindings(rule_id varchar(128) not null,
variable_name varchar(256) not null,
column_name varchar(256) not null,
container_id varchar(36) not null,
asset_id varchar(128) not null,
rule_definition_id varchar(128) default 'na' not null,
tech_start TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row begin,
tech_end TIMESTAMP(12) not null IMPLICITLY HIDDEN generated always as row
end,
ts_id TIMESTAMP(12) not null generated always as transaction start ID,
primary key(rule_id,
rule_definition_id,
variable_name,
column_name),
period SYSTEM_TIME (tech_start,
tech_end) ) ORGANIZE by row

ALTER TABLE 语句:

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_dq_rules_6 foreign key (rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_container_data_asset_columns_7 foreign key (container_id,
asset_id,
column_name) references container_data_asset_columns(container_id,
asset_id,
name) on
delete
	cascade on
	update
	no action

alter table dq_rule_bindings add constraint fk_dq_rule_bindings_dq_rules_defs_3 foreign key (rule_id,
rule_definition_id) references dq_rules_defs(rule_id,
rule_definition_id) on
delete
	cascade on
	update
	no action

dq_rule_execution 表

此表包含有关数据质量规则的规则作业的信息。

此表具有以下列:

dq_rule_id -数据质量规则的标识。
execution_id -数据质量规则作业的作业标识。
start_time -数据质量规则作业的作业开始时间。
end_time -数据质量规则作业的作业结束时间。
nb_tested_rows -数据质量规则作业的已测试行数。
nb_passing_rows -数据质量规则作业的传递行数。
nb_failing_rows -数据质量规则作业的失败行数。
percent_passing_rows -传递数据质量规则作业行的百分比。
percent_failing_rows -数据质量规则作业的失败行所占的百分比。
sampling_used -指定是否将采样用于数据质量规则。
sample_size -数据质量规则的采样大小。
sample_type -数据质量规则的采样类型。
flow_job_id - DataStage 流程任务的标识符。
flow_job_run_id - DataStage flow 作业运行的标识符。

Postgres

CREATE TABLE 语句:

CREATE TABLE "globalschema".dq_rule_execution(
  dq_rule_id varchar(128) NOT NULL,
  execution_id varchar(256) NOT NULL,
  start_time timestamp(6) NOT NULL,
  end_time timestamp(6) NOT NULL,
  nb_tested_rows bigint NOT NULL,
  nb_passing_rows bigint NOT NULL,
  nb_failing_rows bigint NOT NULL,
  percent_passing_rows float NOT NULL,
  percent_failing_rows float NOT NULL,
  sampling_used decimal(1) CHECK (
    sampling_used in (0, 1)
  ) NOT NULL,
  sample_size bigint,
  sample_type varchar(256),
  flow_job_id varchar(128),
  flow_job_run_id varchar(128),
  tech_start TIMESTAMP(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
  tech_end TIMESTAMP(6) NOT NULL DEFAULT to_timestamp('9999-12-30', 'YYYY-MM-DD'),
  ts_id TIMESTAMP(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
  PRIMARY KEY(dq_rule_id, execution_id)
)

ALTER TABLE 语句:

alter table dq_rule_execution add constraint fk_dq_rule_execution_dq_rules_8 foreign key (dq_rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

Db2

CREATE TABLE 语句:

CREATE TABLE "globalschema".dq_rule_execution(
  dq_rule_id varchar(128) NOT NULL,
  execution_id varchar(256) NOT NULL,
  start_time timestamp(6) NOT NULL,
  end_time timestamp(6) NOT NULL,
  nb_tested_rows bigint NOT NULL,
  nb_passing_rows bigint NOT NULL,
  nb_failing_rows bigint NOT NULL,
  percent_passing_rows float NOT NULL,
  percent_failing_rows float NOT NULL,
  sampling_used decimal(1) CHECK (
    sampling_used in (0, 1)
  ) NOT NULL,
  sample_size bigint,
  sample_type varchar(256),
  flow_job_id varchar(128),
  flow_job_run_id varchar(128),
  tech_start TIMESTAMP(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
  tech_end TIMESTAMP(6) NOT NULL DEFAULT to_timestamp('9999-12-30', 'YYYY-MM-DD'),
  ts_id TIMESTAMP(6) NOT NULL DEFAULT CURRENT_TIMESTAMP,
  PRIMARY KEY(dq_rule_id, execution_id)
)

ALTER TABLE 语句:

alter table dq_rule_execution add constraint fk_dq_rule_execution_dq_rules_8 foreign key (dq_rule_id) references dq_rules(rule_id) on
delete
	cascade on
	update
	no action

MS SQL Server

CREATE TABLE 语句:

CREATE TABLE "globalschema".dq_rule_execution(
  dq_rule_id varchar(128) NOT NULL,
  execution_id varchar(256) NOT NULL,
  start_time DATETIME2 NOT NULL,
  end_time DATETIME2 NOT NULL,
  nb_tested_rows bigint NOT NULL,
  nb_passing_rows bigint NOT NULL,
  nb_failing_rows bigint NOT NULL,
  percent_passing_rows float NOT NULL,
  percent_failing_rows float NOT NULL,
  sampling_used decimal(1) CHECK (
    sampling_used in (0, 1)
  ) NOT NULL,
  sample_size bigint,
  sample_type varchar(256),
  flow_job_id varchar(128),
  flow_job_run_id varchar(128),
  tech_start DATETIME2 GENERATED ALWAYS AS ROW START NOT NULL,
  tech_end DATETIME2 GENERATED ALWAYS AS ROW END NOT NULL,
  ts_id DATETIME2 DEFAULT CURRENT_TIMESTAMP NOT NULL,
  CONSTRAINT PK_dq_rule_execution_globalschema PRIMARY KEY(dq_rule_id, execution_id),
  PERIOD FOR SYSTEM_TIME (tech_start, tech_end)
) WITH (
  SYSTEM_VERSIONING = ON (
    HISTORY_TABLE = "globalschema".hist_dq_rule_execution
  )
)

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