Note: Developers building new applications are strongly encouraged to use the NDB Client Library, which has several benefits compared to this client library, such as automatic entity caching via the Memcache API. If you are currently using the older DB Client Library, read the DB to NDB Migration Guide
Datastore maintains statistics about the data stored for an application, such as how many entities there are of a given kind, or how much space is used by property values of a given type. You can view these statistics in the Google Cloud console, in the Dashboard page.
You can also access these values programmatically within the application by querying for specially named entities using the Datastore API. Each statistic is accessible as an entity whose kind name begins and ends with two underscores. For example, each app has exactly one entity of the kind __Stat_Total__ that represents statistics about all of the entities in Datastore in total. Each statistic entity has the following properties:
count, the number of items considered by the statistic (a long integer)bytes, the total size of the items for this statistic (a long integer)timestamp, the time of the most recent update to the statistic (a date-time value)
Some statistic kinds also have additional properties, listed below.
A Python application can use model classes provided by the package google.appengine.ext.db.stats to access statistic entities.
from google.appengine.ext.db import stats global_stat = stats.GlobalStat.all().get() print 'Total bytes stored: %d' % global_stat.bytes print 'Total entities stored: %d' % global_stat.count When the statistics system creates new statistic entities, it does not delete the old ones right away. The best way to get a consistent view of the statistics is to query for the GlobalStat entity with the most recent timestamp, then use that timestamp value as a filter when fetching other statistic entities.
The statistic entities are included in the calculated statistic values. Statistic entities take up space relative to the number of unique kinds and property names used by the application.
The statistics system will also create statistics specific to each namespace Note that if an application does not use Datastore namespaces then namespace specific statistics will not be created. Namespace specific stats are found in the namespace that they're specific to. The kind names for namespace specific stats are prefixed with __Stat_Ns_ and have the same corresponding suffix as application wide statistics kinds.
Applications with thousands of namespaces, kinds, or property names require a very large number of statistics entities. To keep the overhead of storing and updating the statistics reasonable, Datastore progressively drops statistics entities, in the following order:
- per-namespace, per-kind, and per-property statistics:
__Stat_Ns_PropertyName_Kind__,__Stat_Ns_PropertyType_PropertyName_Kind__ - per-kind and per-property statistics:
__Stat_PropertyName_Kind__,__Stat_PropertyType_PropertyName_Kind__ - per-namespace and per-kind statistics:
__Stat_Ns_Kind__,__Stat_Ns_Kind_IsRootEntity__,__Stat_Ns_Kind_NotRootEntity__,__Stat_Ns_PropertyType_Kind__ - per-kind statistics:
__Stat_Kind__,__Stat_Kind_IsRootEntity__,__Stat_Kind_NotRootEntity__,__Stat_PropertyType_Kind__ - per-namespace statistics:
__Stat_Namespace__,__Stat_Ns_Kind_CompositeIndex__,__Stat_Ns_PropertyType__,__Stat_Ns_Total__
The summary statistics entities (__Stat_Kind_CompositeIndex__, __Stat_PropertyType__, __Stat_Total__) are never dropped.
The complete list of available statistics is as follows:
| Statistic | Stat Entity Kind | Description |
|---|---|---|
| all entities | __Stat_Total__ Python class: GlobalStat Namespace specific entry: __Stat_Ns_Total__ Python class: NamespaceGlobalStat | All entities. Additional properties: • entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries.• composite_index_bytes: The storage in composite index entries measured in bytes.• composite_index_count: The count of composite index entries. |
| all entities in a namespace | __Stat_Namespace__ Python class: NamespaceStat Note that __Stat_Namespace__ entities are created for each namespace encountered and are only found in the empty string namespace. | All entities in a namespace. • subject_namespace, the namespace represented (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries.• composite_index_bytes: The storage in composite index entries measured in bytes.• composite_index_count: The count of composite index entries. |
| all entries in application defined indexes | __Stat_Kind_CompositeIndex__Namespace specific entry: __Stat_Ns_Kind_CompositeIndex__Python class: KindStat | Entries in the composite index table; one stat entity for each kind of entity stored. Additional properties: • index_id, the index id.• kind_name, the name of the kind represented (a string) |
| entities of a kind | __Stat_Kind__ Python class: KindStat Namespace specific entry: __Stat_Ns_Kind__ Python class: NamespaceKindStat | Entities of a kind; one stat entity for each kind of entity stored. Additional properties: • kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries.• composite_index_bytes: The storage in composite index entries measured in bytes.• composite_index_count: The count of composite index entries. |
| root entities of a kind | __Stat_Kind_IsRootEntity__ Python class: KindRootEntityStat Namespace specific entry: __Stat_Ns_Kind_IsRootEntity__ Python class: NamespaceKindRootEntityStat | Entities of a kind that are entity group root entities (have no ancestor parent); one stat entity for each kind of entity stored. Additional properties: • kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes. |
| non-root entities of a kind | __Stat_Kind_NotRootEntity__ Python class: KindNotRootEntityStat Namespace specific entry: __Stat_Ns_Kind_NotRootEntity__ Python class: NamespaceKindNotRootEntityStat | Entities of a kind that are not entity group root entities (have an ancestor parent); one stat entity for each kind of entity stored. Additional properties: • kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes. |
| properties of a type | __Stat_PropertyType__ Python class: PropertyTypeStat Namespace specific entry: __Stat_Ns_PropertyType__ Python class: NamespacePropertyTypeStat | Properties of a value type across all entities; one stat entity per value type. Additional properties: • property_type, the name of the value type (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries. |
| properties of a type per kind | __Stat_PropertyType_Kind__ Python class: KindPropertyTypeStat Namespace specific entry: __Stat_Ns_PropertyType_Kind__ Python class: NamespaceKindPropertyTypeStat | Properties of a value type across entities of a given kind; one stat entity per combination of property type and kind. Additional properties: • property_type, the name of the value type (a string)• kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in the built-in index measured in bytes.• builtin_index_count: the count of built-in index entries. |
| properties with a name | __Stat_PropertyName_Kind__ Python class: KindPropertyNameStat Namespace specific entry: __Stat_Ns_PropertyName_Kind__ Python class: NamespaceKindPropertyNameStat | Properties with a given name across entities of a given kind; one stat entity per combination of unique property name and kind. Additional properties: • property_name, the name of the property (a string)• kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries. |
| properties of a type and with a name | __Stat_PropertyType_PropertyName_Kind__ Python class: KindPropertyNamePropertyTypeStat Namespace specific entry: __Stat_Ns_PropertyType_PropertyName_Kind__ Python class: NamespaceKindPropertyNamePropertyTypeStat | Properties with a given name and of a given value type across entities of a given kind; one stat entity per combination of property name, value type and kind that exists in Datastore. Additional properties: • property_type, the name of the value type (a string)• property_name, the name of the property (a string)• kind_name, the name of the kind represented (a string)• entity_bytes: The storage in the entities table measured in bytes.• builtin_index_bytes: The storage in built-in index entries measured in bytes.• builtin_index_count: the count of built-in index entries. |
Some statistics refer to Datastore property value types by name, as strings. These names are as follows:
"Blob""BlobKey""Boolean""Category""Date/Time""Email""Float""GeoPt""IM""Integer""Key""Link""NULL""PhoneNumber""PostalAddress""Rating""ShortBlob""String""Text""User"