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Column ID Key Description Data Type
given processing type (hence the previous
attribute as key).
TA_TOKEN - Term or entity - depending on processing
type.
TA_LANGUAGE - Usually, the document's language is stated in
the source table. In rare cases where this is
not true, the language code is stored here. As
there is no support for multi-language
documents, the language code is identical for
all result records of a document.
TA_TYPE - The token type contains the linguistic or
semantic type of the token; for instance
"noun" (if option = LINGANALYSIS_*) or
"company" (if option = EXTRACTION_*).
TA_NORMALIZED - Stores a normalized representation of the
token. This becomes relevant e.g. for German
with umlauts, or ß/ss. Normalization with
regards to capitalization would not be as
important as to justify this column.
TA_STEM - Stores the linguistic stemming information,
e.g. the singular nominative for nouns, or the
indicative for verbs. If text analysis yields
several stems, only the first stem will be
stored, assuming this to be the best match.
TA_PARAGRAPH - Stores the number of all paragraphs in the
document.
TA_SENTENCE - Stores the number of all sentences in a
document.
TA_CREATED_AT - Stores the creation time. Used for mere
administrative information; e.g. for
reorganizing purposes.
The $TA table can be modified like any other table, but it cannot be partitioned.
You can add additional columns to this table, e.g. with a statement like ALTER TABLE
NVARCHAR(250)
NVARCHAR(2)
NVARCHAR(100)
NVARCHAR(250)
NVARCHAR(300)
INTEGER
INTEGER
TIMESTAMP
"TA"."$TA_SOURCE_TEXT_TA" ADD(C INTEGER GENERATED ALWAYS AS 1). In this example, the value 1 will be
written to only existing rows in the new column C. The new column will not be filled automatically in delta updates.
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