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數(shù)據(jù)湖元數(shù)據(jù)管理

更新時(shí)間:

Databricks 數(shù)據(jù)洞察DBR 7.3, Spark 3.0.1, Scala 2.12及之后版本,在創(chuàng)建集群選擇元數(shù)據(jù)類(lèi)型時(shí)支持?jǐn)?shù)據(jù)湖元數(shù)據(jù)作為Hive數(shù)據(jù)庫(kù)。數(shù)據(jù)湖元數(shù)據(jù)是服務(wù)化高可用并且可擴(kuò)展的元數(shù)據(jù)庫(kù),您無(wú)需額外購(gòu)買(mǎi)獨(dú)立的元數(shù)據(jù)庫(kù),就可以實(shí)現(xiàn)多個(gè)引擎計(jì)算,例如同時(shí)使用Databricks 數(shù)據(jù)洞察和E-MapReduce。多個(gè)Databricks 數(shù)據(jù)洞察集群可以共享統(tǒng)一元數(shù)據(jù)庫(kù)。

前提條件

重要

數(shù)據(jù)湖元數(shù)據(jù)產(chǎn)品目前只支持華北2(北京)、華東2(上海)和華東1(杭州)三個(gè)地域。

  • 進(jìn)入RAM訪問(wèn)控制臺(tái)給AliyunDDIAccessingOSSRole角色添加一個(gè)AliyunDDIAccessingDLFRolePolicy自定義策略,策略詳情如下:

{
    "Version": "1",
    "Statement": [
        {
            "Action": [
                "dlf:BatchCreatePartitions",
                "dlf:BatchCreateTables",
                "dlf:BatchDeletePartitions",
                "dlf:BatchDeleteTables",
                "dlf:BatchGetPartitions",
                "dlf:BatchGetTables",
                "dlf:BatchUpdatePartitions",
                "dlf:BatchUpdateTables",
                "dlf:CreateDatabase",
                "dlf:CreateFunction",
                "dlf:CreatePartition",
                "dlf:CreateTable",
                "dlf:DeleteDatabase",
                "dlf:DeleteFunction",
                "dlf:DeletePartition",
                "dlf:DeleteTable",
                "dlf:GetDatabase",
                "dlf:GetFunction",
                "dlf:GetPartition",
                "dlf:GetTable",
                "dlf:ListCatalogs",
                "dlf:ListDatabases",
                "dlf:ListFunctionNames",
                "dlf:ListFunctions",
                "dlf:ListPartitionNames",
                "dlf:ListPartitions",
                "dlf:ListPartitionsByExpr",
                "dlf:ListPartitionsByFilter",
                "dlf:ListTableNames",
                "dlf:ListTables",
                "dlf:RenamePartition",
                "dlf:RenameTable",
                "dlf:UpdateDatabase",
                "dlf:UpdateFunction",
                "dlf:UpdateTable",
                "dlf:UpdateTableColumnStatistics",
                "dlf:GetTableColumnStatistics",
                "dlf:DeleteTableColumnStatistics",
                "dlf:UpdatePartitionColumnStatistics",
                "dlf:GetPartitionColumnStatistics",
                "dlf:DeletePartitionColumnStatistics",
                "dlf:BatchGetPartitionColumnStatistics"
            ],
            "Resource": "*",
            "Effect": "Allow"
        }
    ]
}

背景信息

數(shù)據(jù)湖元數(shù)據(jù)已適配Databricks 數(shù)據(jù)洞察的Spark SQL。

適用場(chǎng)景

數(shù)據(jù)湖元數(shù)據(jù)具有高可用和易維護(hù)的特點(diǎn),因此適合在如下場(chǎng)景下使用數(shù)據(jù)湖元數(shù)據(jù):

  • Databricks 數(shù)據(jù)洞察集群的生產(chǎn)環(huán)境,您無(wú)需維護(hù)獨(dú)立的元數(shù)據(jù)庫(kù)。

  • 橫向使用多種大數(shù)據(jù)計(jì)算引擎,例如Databricks 數(shù)據(jù)洞察、MaxCompute、EMR等,元數(shù)據(jù)可以集中管理。

  • 多個(gè)Databricks 數(shù)據(jù)洞察集群,可以統(tǒng)一管理元數(shù)據(jù)。

創(chuàng)建集群

創(chuàng)建Databricks 數(shù)據(jù)洞察集群時(shí),如圖元數(shù)據(jù)選擇數(shù)據(jù)湖元數(shù)據(jù)方式,創(chuàng)建詳情請(qǐng)參見(jiàn)創(chuàng)建集群

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說(shuō)明

如果需要遷移數(shù)據(jù)庫(kù)的元數(shù)據(jù)信息,請(qǐng)提交工單處理。