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前言
前期實現了導入MySQL元數據到Apache Atlas, 由于是初步版本，且功能參照Atlas Hive Hook，實現的不夠完美
本期對功能進行改進，實現了導入多種關系型數據庫元數據到Apache Atlas
數據庫schema與catalog
按照SQL標準的解釋，在SQL環(huán)境下Catalog和Schema都屬于抽象概念，可以把它們理解為一個容器或者數據庫對象命名空間中的一個層次，主要用來解決命名沖突問題。從概念上說，一個數據庫系統(tǒng)包含多個Catalog，每個Catalog又包含多個Schema，而每個Schema又包含多個數據庫對象（表、視圖、字段等），反過來講一個數據庫對象必然屬于一個Schema，而該Schema又必然屬于一個Catalog，這樣我們就可以得到該數據庫對象的完全限定名稱，從而解決命名沖突的問題了；例如數據庫對象表的完全限定名稱就可以表示為：Catalog名稱.Schema名稱.表名稱。這里還有一點需要注意的是，SQL標準并不要求每個數據庫對象的完全限定名稱是唯一的。
從實現的角度來看，各種數據庫系統(tǒng)對Catalog和Schema的支持和實現方式千差萬別，針對具體問題需要參考具體的產品說明書，比較簡單而常用的實現方式是使用數據庫名作為Catalog名，使用用戶名作為Schema名，具體可參見下表：
表1 常用數據庫
| 供應商 | Catalog支持 | Schema支持 |
|---|---|---|
| Oracle | 不支持 | Oracle User ID |
| MySQL | 不支持 | 數據庫名 |
| MS SQL Server | 數據庫名 | 對象屬主名，2005版開始有變 |
| DB2 | 指定數據庫對象時，Catalog部分省略 | Catalog屬主名 |
| Sybase | 數據庫名 | 數據庫屬主名 |
| Informix | 不支持 | 不需要 |
| PointBase | 不支持 | 數據庫名 |
原文：https://www.cnblogs.com/ECNB/p/4611309.html
元數據模型層級抽象
不同的關系型數據庫，其數據庫模式有所區(qū)別，對應與下面的層級關系
- Datasource -> Catalog -> Schema -> Table -> Column
- Datasource -> Catalog -> Table -> Column
- Datasource -> Schema -> Table -> Column
元數據轉換設計
提供元數據
借鑒Apache DolphinScheduler中獲取Connection的方式，不多贅述。
public Connection getConnection(DbType dbType, ConnectionParam connectionParam) throws ExecutionException {BaseConnectionParam baseConnectionParam = (BaseConnectionParam) connectionParam;String datasourceUniqueId = DataSourceUtils.getDatasourceUniqueId(baseConnectionParam, dbType);logger.info("Get connection from datasource {}", datasourceUniqueId);DataSourceClient dataSourceClient = uniqueId2dataSourceClientCache.get(datasourceUniqueId, () -> {Map<String, DataSourceChannel> dataSourceChannelMap = dataSourcePluginManager.getDataSourceChannelMap();DataSourceChannel dataSourceChannel = dataSourceChannelMap.get(dbType.getDescp());if (null == dataSourceChannel) {throw new RuntimeException(String.format("datasource plugin '%s' is not found", dbType.getDescp()));}return dataSourceChannel.createDataSourceClient(baseConnectionParam, dbType);});return dataSourceClient.getConnection();}
轉換元數據
- 元數據模型
創(chuàng)建數據庫的元數據模型
private AtlasEntityDef createJdbcDatabaseDef() {AtlasEntityDef typeDef = createClassTypeDef(DatabaseProperties.JDBC_TYPE_DATABASE,Collections.singleton(DatabaseProperties.ENTITY_TYPE_DATASET),createOptionalAttrDef(DatabaseProperties.ATTR_URL, "string"),createOptionalAttrDef(DatabaseProperties.ATTR_DRIVER_NAME, "string"),createOptionalAttrDef(DatabaseProperties.ATTR_PRODUCT_NAME, "string"),createOptionalAttrDef(DatabaseProperties.ATTR_PRODUCT_VERSION, "string"));typeDef.setServiceType(DatabaseProperties.ENTITY_SERVICE_TYPE);return typeDef;
}
創(chuàng)建數據庫模式的元數據模型
private AtlasEntityDef createJdbcSchemaDef() {AtlasEntityDef typeDef = AtlasTypeUtil.createClassTypeDef(SchemaProperties.JDBC_TYPE_SCHEMA,Collections.singleton(SchemaProperties.ENTITY_TYPE_DATASET));typeDef.setServiceType(SchemaProperties.ENTITY_SERVICE_TYPE);typeDef.setOptions(new HashMap<>() {{put("schemaElementsAttribute", "tables");}});return typeDef;
}
創(chuàng)建數據庫表的元數據模型
private AtlasEntityDef createJdbcTableDef() {AtlasEntityDef typeDef = createClassTypeDef(TableProperties.JDBC_TYPE_TABLE,Collections.singleton(TableProperties.ENTITY_TYPE_DATASET),createOptionalAttrDef(TableProperties.ATTR_TABLE_TYPE, "string"));typeDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);typeDef.setOptions(new HashMap<>() {{put("schemaElementsAttribute", "columns");}});return typeDef;
}
創(chuàng)建數據庫列的元數據模型
private AtlasEntityDef createJdbcColumnDef() {AtlasEntityDef typeDef = createClassTypeDef(ColumnProperties.JDBC_TYPE_COLUMN,Collections.singleton(ColumnProperties.ENTITY_TYPE_DATASET),createOptionalAttrDef(ColumnProperties.ATTR_COLUMN_TYPE, "string"),createOptionalAttrDef(ColumnProperties.ATTR_IS_PRIMARY_KEY, "string"),createOptionalAttrDef(ColumnProperties.ATTR_COLUMN_IS_NULLABLE, "string"),createOptionalAttrDef(ColumnProperties.ATTR_COLUMN_DEFAULT_VALUE, "string"),createOptionalAttrDef(ColumnProperties.ATTR_COLUMN_AUTO_INCREMENT, "string"));typeDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);HashMap<String, String> options = new HashMap<>() {{put("schemaAttributes", "[\"name\", \"isPrimaryKey\", \"columnType\", \"isNullable\" , \"isAutoIncrement\", \"description\"]");}};typeDef.setOptions(options);return typeDef;
}
創(chuàng)建實體之間的關系模型
private List<AtlasRelationshipDef> createAtlasRelationshipDef() {String version = "1.0";// 數據庫和模式的關系AtlasRelationshipDef databaseSchemasDef = createRelationshipTypeDef(BaseProperties.RELATIONSHIP_DATABASE_SCHEMAS,BaseProperties.RELATIONSHIP_DATABASE_SCHEMAS,version, COMPOSITION, AtlasRelationshipDef.PropagateTags.NONE,createRelationshipEndDef(BaseProperties.JDBC_TYPE_DATABASE, "schemas", SET, true),createRelationshipEndDef(BaseProperties.JDBC_TYPE_SCHEMA, "database", SINGLE, false));databaseSchemasDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);AtlasRelationshipDef databaseTablesDef = createRelationshipTypeDef(BaseProperties.RELATIONSHIP_DATABASE_TABLES,BaseProperties.RELATIONSHIP_DATABASE_TABLES,version, AGGREGATION, AtlasRelationshipDef.PropagateTags.NONE,createRelationshipEndDef(BaseProperties.JDBC_TYPE_DATABASE, "tables", SET, true),createRelationshipEndDef(BaseProperties.JDBC_TYPE_TABLE, "database", SINGLE, false));databaseTablesDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);// 模式和數據表的關系// 注意 schema 已經被使用, 需要更換否則會沖突, 例如改為 Jschema(jdbc_schema)AtlasRelationshipDef schemaTablesDef = createRelationshipTypeDef(BaseProperties.RELATIONSHIP_SCHEMA_TABLES,BaseProperties.RELATIONSHIP_SCHEMA_TABLES,version, AGGREGATION, AtlasRelationshipDef.PropagateTags.NONE,createRelationshipEndDef(BaseProperties.JDBC_TYPE_SCHEMA, "tables", SET, true),createRelationshipEndDef(BaseProperties.JDBC_TYPE_TABLE, "Jschema", SINGLE, false));schemaTablesDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);// 表和數據列的關系AtlasRelationshipDef tableColumnsDef = createRelationshipTypeDef(BaseProperties.RELATIONSHIP_TABLE_COLUMNS,BaseProperties.RELATIONSHIP_TABLE_COLUMNS,version, COMPOSITION, AtlasRelationshipDef.PropagateTags.NONE,createRelationshipEndDef(BaseProperties.JDBC_TYPE_TABLE, "columns", SET, true),createRelationshipEndDef(BaseProperties.JDBC_TYPE_COLUMN, "table", SINGLE, false));tableColumnsDef.setServiceType(BaseProperties.ENTITY_SERVICE_TYPE);return Arrays.asList(databaseSchemasDef, databaseTablesDef, schemaTablesDef, tableColumnsDef);
}
-
提取元數據
不再贅述
-
轉換元數據
使用工廠模式，提供不同類型的元數據轉換方式
public interface JdbcTransferFactory {JdbcTransfer getTransfer(DatabaseMetaData metaData, AtlasClientV2 client);boolean supportType(String type);String getName();
}
List ignorePatterns 用來過濾不想導入的數據庫元數據，例如mysql的information_schema
public interface JdbcTransfer {void transfer();JdbcTransfer setIgnorePatterns(List<Pattern> ignorePatterns);
}
舉例：JdbcMysqlTransfer 和 MysqlTransferFactory
@AutoService(JdbcTransferFactory.class)
public class MysqlTransferFactory implements JdbcTransferFactory {public static final String MYSQL = "mysql";@Overridepublic JdbcTransfer getTransfer(DatabaseMetaData metaData, AtlasClientV2 client) {return new JdbcMysqlTransfer(metaData, client);}@Overridepublic boolean supportType(String type) {return MYSQL.equalsIgnoreCase(type);}@Overridepublic String getName() {return MYSQL;}
}
public class JdbcMysqlTransfer implements JdbcTransfer {private final Jdbc jdbc;private final AtlasService atlasService;private List<Pattern> ignorePatterns;public JdbcMysqlTransfer(DatabaseMetaData metaData, AtlasClientV2 client) {this.jdbc = new Jdbc(new JdbcMetadata(metaData));this.atlasService = new AtlasService(client);this.ignorePatterns = Collections.emptyList();}@Overridepublic JdbcTransfer setIgnorePatterns(List<Pattern> ignorePatterns) {this.ignorePatterns = ignorePatterns;return this;}private boolean tableIsNotIgnored(String tableName) {return ignorePatterns.stream().noneMatch(regex -> regex.matcher(tableName).matches());}@Overridepublic void transfer() {// 1.數據庫實體轉換DatabaseTransfer databaseTransfer = new DatabaseTransfer(atlasService);AtlasEntity databaseEntity = databaseTransfer.apply(jdbc);// 2.表實體轉換String catalog = (String) databaseEntity.getAttribute(BaseProperties.ATTR_NAME);List<AtlasEntity> tableEntities = jdbc.getTables(catalog, catalog).parallelStream().filter(jdbcTable -> tableIsNotIgnored(jdbcTable.getTableName())).map(new TableTransfer(atlasService, databaseEntity)).toList();// 3.列轉換for (AtlasEntity tableEntity : tableEntities) {String tableName = (String) tableEntity.getAttribute(BaseProperties.ATTR_NAME);List<JdbcPrimaryKey> primaryKeys = jdbc.getPrimaryKeys(catalog, tableName);jdbc.getColumns(catalog, catalog, tableName).parallelStream().forEach(new ColumnTransfer(atlasService, tableEntity, primaryKeys));}}}
- 元數據存入Atlas
public class DatabaseTransfer implements Function<Jdbc, AtlasEntity> {private final AtlasService atlasService;public DatabaseTransfer(AtlasService atlasService) {this.atlasService = atlasService;}@Overridepublic AtlasEntity apply(Jdbc jdbc) {String userName = jdbc.getUserName();String driverName = jdbc.getDriverName();String productName = jdbc.getDatabaseProductName();String productVersion = jdbc.getDatabaseProductVersion();String url = jdbc.getUrl();String urlWithNoParams = url.contains("?") ? url.substring(0, url.indexOf("?")) : url;String catalogName = urlWithNoParams.substring(urlWithNoParams.lastIndexOf("/") + 1);// 特殊處理 Oracleif (productName.equalsIgnoreCase("oracle")){catalogName = userName.toUpperCase();urlWithNoParams = urlWithNoParams + "/" + catalogName;}DatabaseProperties properties = new DatabaseProperties();properties.setQualifiedName(urlWithNoParams);properties.setDisplayName(catalogName);properties.setOwner(userName);properties.setUrl(url);properties.setDriverName(driverName);properties.setProductName(productName);properties.setProductVersion(productVersion);// 1.創(chuàng)建Atlas EntityAtlasEntity atlasEntity = new AtlasEntity(DatabaseProperties.JDBC_TYPE_DATABASE, properties.getAttributes());// 2.判斷是否存在實體, 存在則填充GUIDMap<String, String> searchParam = Collections.singletonMap(DatabaseProperties.ATTR_QUALIFIED_NAME, urlWithNoParams);Optional<AtlasEntityHeader> entityHeader = atlasService.checkAtlasEntityExists(DatabaseProperties.JDBC_TYPE_DATABASE, searchParam);entityHeader.ifPresent(header -> atlasEntity.setGuid(header.getGuid()));// 3，存儲或者更新到Atlas中if (entityHeader.isPresent()){atlasService.createAtlasEntity(new AtlasEntity.AtlasEntityWithExtInfo(atlasEntity));}else {AtlasEntityHeader header = atlasService.createAtlasEntity(new AtlasEntity.AtlasEntityWithExtInfo(atlasEntity));atlasEntity.setGuid(header.getGuid());}return atlasEntity;}
}
效果展示
- 元數據類型定義
- 測試導入元數據
由于mysql沒有采用schema，因此jdbc_schema為空
如圖所示，可以清晰的了解mysql數據庫中demo數據庫的數據表內容
數據表元數據，qualifiedName使用數據庫連接url.表名
如同所示，數據表內各個列的元數據；可以清晰的了解該數據表的各個字段信息
