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#Create your own fields of the media meta data. install
#Create your own fields of the media meta data. archive
#Create your own fields of the media meta data. pro
#Create your own fields of the media meta data. professional
#Create your own fields of the media meta data. series

Get it wrong and you may find yourself entering metadata way past Of information to create, store and manage so think carefully about the fields Of fields you choose to store that data make up your metadata schema. Metadata fields – individual containers for each piece of information.

#Create your own fields of the media meta data. series

Information about the file and what it contains can be stored in a series of It enables people or machines to locate a digital file within a libraryĬontaining thousands – or millions – of media assets. Which describes what’s going on in your video, images, audio or other digitalĪssets. Metadata is the descriptive and technical information Significant volumes of digital media assets usually need to think about

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This is very similar to having a foreign key to the same table within a relational database. This makes it possible to define parent-child relationships between documents within an index, by making one mapping type the parent of another mapping type. The first routing meta field that we will talk about, is the _parent field. The next category is routing meta fields. This is used by the exists and missing queries to find documents that have or do not have a value for a given field. The _field_names field indexes the names of the fields for a document that contains a value other than NULL. This field is useful if you want to search documents for a value but do not know or care in which field the value is present. It is analyzed and indexed, but not stored, meaning that it can be searched but not retrieved. The _all meta field contains the concatenated values of all other fields, using a space as the delimiter. The next category of meta fields is indexing meta fields.

#Create your own fields of the media meta data. install

sudo bin/plugin install mapper-size Indexing Meta Fields However, it’s only available after installing the mapper-size plugin, which can be done with the below command. The _size field contains the size of the _source field in bytes. It can be disabled if you want to save storage space. The field is not indexed, and therefore it is not searchable, but it is returned in search or fetch results. The _source field contains the JSON that was passed to Elasticsearch at index time, or the updated values if the document has since been updated. The next category of meta fields is document source meta fields, which contains two fields. You are probably not going to make use of this field, because the _id and _type fields are made available to you for convenience, but it is nevertheless always good to know what happens behind the scenes. The field is not indexed, because it can actually be derived from the _uid field, which contains both the document ID and type, separated by a hashtag –. The _id field contains the ID of the document. This field is indexed to make searching for specific types of documents fast. The _type field stores the mapping type of the document – this could be employee, for instance. It is actually a virtual field and is therefore not stored as a real field within Lucene. The _index field contains the name of the index that a document belongs to and allows for matching documents based on the index that it is stored within. Now we will discuss the various categories of meta fields, the first one being identity meta fields. We will go through the various meta fields below. The names of these fields are prefixed with an underscore, and some of them can be customized when creating a mapping type. So, just what are meta fields? Each document that is indexed in Elasticsearch has metadata associated with it. Now that we have taken a look at field data types, it is time to talk about meta fields.