Oracle 视图 ALL_CLUSTERS 官方解释,作用,如何使用详细说明
本站中文解释
Oracle视图ALL_CLUSTERS是一个字典视图,它记录着当前用户下的所有簇的元数据信息,如所有配置的簇的名称,相关的表,使用的存储表和簇的数据类型。
使用ALL_CLUSTERS视图可以获取系统中关于簇的所有信息,从而帮助用户更好地管理和维护簇和关联的表。举个例子,使用者可以运行一个SQL语句来查询当前用户所有的簇及其关联的表:
SELECT CLUSTER_NAME, RELATED_TABLE FROM ALL_CLUSTERS;
官方英文解释
ALL_CLUSTERS
describes all clusters accessible to the current user.
Related Views
-
DBA_CLUSTERS
describes all clusters in the database. -
USER_CLUSTERS
describes all clusters owned by the current user. This view does not display theOWNER
column.
Column | Datatype | NULL | Description |
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Owner of the cluster |
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Name of the cluster |
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Name of the tablespace containing the cluster |
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Minimum percentage of free space in a block |
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Minimum percentage of used space in a block |
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Estimated size of cluster key plus associated rows |
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Initial number of transactions |
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Maximum number of transactions |
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Size of the initial extent in bytes |
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Size of secondary extents in bytes |
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Minimum number of extents allowed in the segment |
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Maximum number of extents allowed in the segment |
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Percentage increase in extent size |
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Number of process freelists allocated to this segment |
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Number of freelist groups allocated to this segment |
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Number of blocks in the table divided by number of cluster keys |
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Type of the cluster:
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If the cluster is a hash cluster, the hash function |
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If the cluster is a hash cluster, the number of hash keys (hash buckets) |
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Number of threads per instance for scanning the cluster, or |
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Number of instances across which the cluster is to be scanned , or |
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Indicates whether the cluster is to be cached in the buffer cache ( |
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Buffer pool to be used for cluster blocks:
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Database Smart Flash Cache hint to be used for cluster blocks:
Solaris and Oracle Linux functionality only. |
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Cell flash cache hint to be used for cluster blocks:
See Also: Oracle Exadata Storage Server Software documentation for more information |
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Indicates whether this is a single-table cluster ( |
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Indicates whether row-level dependency tracking is enabled ( |
See Also:
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“DBA_CLUSTERS”
-
“USER_CLUSTERS”