Takes a row as input and produces an alternate view of the row based on specified rules. For example, a RowFilter might trim down a row to include just the cells from columns matching a given regular expression, or might return all the cells of a row but not their values. More complicated filters can be composed out of these components to express requests such as, "within every column of a particular family, give just the two most recent cells which are older than timestamp X."
There are two broad categories of RowFilters (true filters and transformers), as well as two ways to compose simple filters into more complex ones (chains and interleaves). They work as follows:
True filters alter the input row by excluding some of its cells wholesale from the output row. An example of a true filter is the
value_regex_filter, which excludes cells whose values don't match the specified pattern. All regex true filters use RE2 syntax (https://github.com/google/re2/wiki/Syntax) in raw byte mode (RE2::Latin1), and are evaluated as full matches. An important point to keep in mind is thatRE2(.)is equivalent by default toRE2([^\n]), meaning that it does not match newlines. When attempting to match an arbitrary byte, you should therefore use the escape sequence\C, which may need to be further escaped as\Cin your client language.Transformers alter the input row by changing the values of some of its cells in the output, without excluding them completely. Currently, the only supported transformer is the
strip_value_transformer, which replaces every cell's value with the empty string.Chains and interleaves are described in more detail in the RowFilter.Chain and RowFilter.Interleave documentation.
The total serialized size of a RowFilter message must not exceed 4096 bytes, and RowFilters may not be nested within each other (in Chains or Interleaves) to a depth of more than 20.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#apply_label_transformer
def apply_label_transformer() -> ::String-
(::String) — Applies the given label to all cells in the output row. This allows
the client to determine which results were produced from which part of
the filter.
Values must be at most 15 characters in length, and match the RE2 pattern
[a-z0-9\\-]+Due to a technical limitation, it is not currently possible to apply multiple labels to a cell. As a result, a Chain may have no more than one sub-filter which contains a
apply_label_transformer. It is okay for an Interleave to contain multipleapply_label_transformers, as they will be applied to separate copies of the input. This may be relaxed in the future.
#apply_label_transformer=
def apply_label_transformer=(value) -> ::String-
value (::String) — Applies the given label to all cells in the output row. This allows
the client to determine which results were produced from which part of
the filter.
Values must be at most 15 characters in length, and match the RE2 pattern
[a-z0-9\\-]+Due to a technical limitation, it is not currently possible to apply multiple labels to a cell. As a result, a Chain may have no more than one sub-filter which contains a
apply_label_transformer. It is okay for an Interleave to contain multipleapply_label_transformers, as they will be applied to separate copies of the input. This may be relaxed in the future.
-
(::String) — Applies the given label to all cells in the output row. This allows
the client to determine which results were produced from which part of
the filter.
Values must be at most 15 characters in length, and match the RE2 pattern
[a-z0-9\\-]+Due to a technical limitation, it is not currently possible to apply multiple labels to a cell. As a result, a Chain may have no more than one sub-filter which contains a
apply_label_transformer. It is okay for an Interleave to contain multipleapply_label_transformers, as they will be applied to separate copies of the input. This may be relaxed in the future.
#block_all_filter
def block_all_filter() -> ::Boolean- (::Boolean) — Does not match any cells, regardless of input. Useful for temporarily disabling just part of a filter.
#block_all_filter=
def block_all_filter=(value) -> ::Boolean- value (::Boolean) — Does not match any cells, regardless of input. Useful for temporarily disabling just part of a filter.
- (::Boolean) — Does not match any cells, regardless of input. Useful for temporarily disabling just part of a filter.
#cells_per_column_limit_filter
def cells_per_column_limit_filter() -> ::Integer-
(::Integer) — Matches only the most recent N cells within each column. For example,
if N=2, this filter would match column
foo:barat timestamps 10 and 9, skip all earlier cells infoo:bar, and then begin matching again in columnfoo:bar2. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#cells_per_column_limit_filter=
def cells_per_column_limit_filter=(value) -> ::Integer-
value (::Integer) — Matches only the most recent N cells within each column. For example,
if N=2, this filter would match column
foo:barat timestamps 10 and 9, skip all earlier cells infoo:bar, and then begin matching again in columnfoo:bar2. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
-
(::Integer) — Matches only the most recent N cells within each column. For example,
if N=2, this filter would match column
foo:barat timestamps 10 and 9, skip all earlier cells infoo:bar, and then begin matching again in columnfoo:bar2. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#cells_per_row_limit_filter
def cells_per_row_limit_filter() -> ::Integer- (::Integer) — Matches only the first N cells of each row. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#cells_per_row_limit_filter=
def cells_per_row_limit_filter=(value) -> ::Integer- value (::Integer) — Matches only the first N cells of each row. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
- (::Integer) — Matches only the first N cells of each row. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#cells_per_row_offset_filter
def cells_per_row_offset_filter() -> ::Integer- (::Integer) — Skips the first N cells of each row, matching all subsequent cells. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#cells_per_row_offset_filter=
def cells_per_row_offset_filter=(value) -> ::Integer- value (::Integer) — Skips the first N cells of each row, matching all subsequent cells. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
- (::Integer) — Skips the first N cells of each row, matching all subsequent cells. If duplicate cells are present, as is possible when using an Interleave, each copy of the cell is counted separately.
#chain
def chain() -> ::Google::Cloud::Bigtable::V2::RowFilter::Chain- (::Google::Cloud::Bigtable::V2::RowFilter::Chain) — Applies several RowFilters to the data in sequence, progressively narrowing the results.
#chain=
def chain=(value) -> ::Google::Cloud::Bigtable::V2::RowFilter::Chain- value (::Google::Cloud::Bigtable::V2::RowFilter::Chain) — Applies several RowFilters to the data in sequence, progressively narrowing the results.
- (::Google::Cloud::Bigtable::V2::RowFilter::Chain) — Applies several RowFilters to the data in sequence, progressively narrowing the results.
#column_qualifier_regex_filter
def column_qualifier_regex_filter() -> ::String-
(::String) — Matches only cells from columns whose qualifiers satisfy the given RE2
regex.
Note that, since column qualifiers can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary qualifier.
#column_qualifier_regex_filter=
def column_qualifier_regex_filter=(value) -> ::String-
value (::String) — Matches only cells from columns whose qualifiers satisfy the given RE2
regex.
Note that, since column qualifiers can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary qualifier.
-
(::String) — Matches only cells from columns whose qualifiers satisfy the given RE2
regex.
Note that, since column qualifiers can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary qualifier.
#column_range_filter
def column_range_filter() -> ::Google::Cloud::Bigtable::V2::ColumnRange- (::Google::Cloud::Bigtable::V2::ColumnRange) — Matches only cells from columns within the given range.
#column_range_filter=
def column_range_filter=(value) -> ::Google::Cloud::Bigtable::V2::ColumnRange- value (::Google::Cloud::Bigtable::V2::ColumnRange) — Matches only cells from columns within the given range.
- (::Google::Cloud::Bigtable::V2::ColumnRange) — Matches only cells from columns within the given range.
#condition
def condition() -> ::Google::Cloud::Bigtable::V2::RowFilter::Condition- (::Google::Cloud::Bigtable::V2::RowFilter::Condition) — Applies one of two possible RowFilters to the data based on the output of a predicate RowFilter.
#condition=
def condition=(value) -> ::Google::Cloud::Bigtable::V2::RowFilter::Condition- value (::Google::Cloud::Bigtable::V2::RowFilter::Condition) — Applies one of two possible RowFilters to the data based on the output of a predicate RowFilter.
- (::Google::Cloud::Bigtable::V2::RowFilter::Condition) — Applies one of two possible RowFilters to the data based on the output of a predicate RowFilter.
#family_name_regex_filter
def family_name_regex_filter() -> ::String-
(::String) — Matches only cells from columns whose families satisfy the given RE2
regex. For technical reasons, the regex must not contain the
:character, even if it is not being used as a literal. Note that, since column families cannot contain the new line character\n, it is sufficient to use.as a full wildcard when matching column family names.
#family_name_regex_filter=
def family_name_regex_filter=(value) -> ::String-
value (::String) — Matches only cells from columns whose families satisfy the given RE2
regex. For technical reasons, the regex must not contain the
:character, even if it is not being used as a literal. Note that, since column families cannot contain the new line character\n, it is sufficient to use.as a full wildcard when matching column family names.
-
(::String) — Matches only cells from columns whose families satisfy the given RE2
regex. For technical reasons, the regex must not contain the
:character, even if it is not being used as a literal. Note that, since column families cannot contain the new line character\n, it is sufficient to use.as a full wildcard when matching column family names.
#interleave
def interleave() -> ::Google::Cloud::Bigtable::V2::RowFilter::Interleave- (::Google::Cloud::Bigtable::V2::RowFilter::Interleave) — Applies several RowFilters to the data in parallel and combines the results.
#interleave=
def interleave=(value) -> ::Google::Cloud::Bigtable::V2::RowFilter::Interleave- value (::Google::Cloud::Bigtable::V2::RowFilter::Interleave) — Applies several RowFilters to the data in parallel and combines the results.
- (::Google::Cloud::Bigtable::V2::RowFilter::Interleave) — Applies several RowFilters to the data in parallel and combines the results.
#pass_all_filter
def pass_all_filter() -> ::Boolean-
(::Boolean) — Matches all cells, regardless of input. Functionally equivalent to
leaving
filterunset, but included for completeness.
#pass_all_filter=
def pass_all_filter=(value) -> ::Boolean-
value (::Boolean) — Matches all cells, regardless of input. Functionally equivalent to
leaving
filterunset, but included for completeness.
-
(::Boolean) — Matches all cells, regardless of input. Functionally equivalent to
leaving
filterunset, but included for completeness.
#row_key_regex_filter
def row_key_regex_filter() -> ::String-
(::String) — Matches only cells from rows whose keys satisfy the given RE2 regex. In
other words, passes through the entire row when the key matches, and
otherwise produces an empty row.
Note that, since row keys can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary key.
#row_key_regex_filter=
def row_key_regex_filter=(value) -> ::String-
value (::String) — Matches only cells from rows whose keys satisfy the given RE2 regex. In
other words, passes through the entire row when the key matches, and
otherwise produces an empty row.
Note that, since row keys can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary key.
-
(::String) — Matches only cells from rows whose keys satisfy the given RE2 regex. In
other words, passes through the entire row when the key matches, and
otherwise produces an empty row.
Note that, since row keys can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary key.
#row_sample_filter
def row_sample_filter() -> ::Float- (::Float) — Matches all cells from a row with probability p, and matches no cells from the row with probability 1-p.
#row_sample_filter=
def row_sample_filter=(value) -> ::Float- value (::Float) — Matches all cells from a row with probability p, and matches no cells from the row with probability 1-p.
- (::Float) — Matches all cells from a row with probability p, and matches no cells from the row with probability 1-p.
#sink
def sink() -> ::Boolean-
(::Boolean) — ADVANCED USE ONLY.
Hook for introspection into the RowFilter. Outputs all cells directly to
the output of the read rather than to any parent filter. Consider the
following example:
Chain( FamilyRegex("A"), Interleave( All(), Chain(Label("foo"), Sink()) ), QualifierRegex("B") ) A,A,1,w A,B,2,x B,B,4,z | FamilyRegex("A") | A,A,1,w A,B,2,x | +------------+-------------+ | | All() Label(foo) | | A,A,1,w A,A,1,w,labels:[foo] A,B,2,x A,B,2,x,labels:[foo] | | | Sink() --------------+ | | | +------------+ x------+ A,A,1,w,labels:[foo] | A,B,2,x,labels:[foo] A,A,1,w | A,B,2,x | | | QualifierRegex("B") | | | A,B,2,x | | | +--------------------------------+ | A,A,1,w,labels:[foo] A,B,2,x,labels:[foo] // could be switched A,B,2,x // could be switchedDespite being excluded by the qualifier filter, a copy of every cell that reaches the sink is present in the final result.
As with an Interleave, duplicate cells are possible, and appear in an unspecified mutual order. In this case we have a duplicate with column "A:B" and timestamp 2, because one copy passed through the all filter while the other was passed through the label and sink. Note that one copy has label "foo", while the other does not.
Cannot be used within the
predicate_filter,true_filter, orfalse_filterof a Condition.
#sink=
def sink=(value) -> ::Boolean-
value (::Boolean) — ADVANCED USE ONLY.
Hook for introspection into the RowFilter. Outputs all cells directly to
the output of the read rather than to any parent filter. Consider the
following example:
Chain( FamilyRegex("A"), Interleave( All(), Chain(Label("foo"), Sink()) ), QualifierRegex("B") ) A,A,1,w A,B,2,x B,B,4,z | FamilyRegex("A") | A,A,1,w A,B,2,x | +------------+-------------+ | | All() Label(foo) | | A,A,1,w A,A,1,w,labels:[foo] A,B,2,x A,B,2,x,labels:[foo] | | | Sink() --------------+ | | | +------------+ x------+ A,A,1,w,labels:[foo] | A,B,2,x,labels:[foo] A,A,1,w | A,B,2,x | | | QualifierRegex("B") | | | A,B,2,x | | | +--------------------------------+ | A,A,1,w,labels:[foo] A,B,2,x,labels:[foo] // could be switched A,B,2,x // could be switchedDespite being excluded by the qualifier filter, a copy of every cell that reaches the sink is present in the final result.
As with an Interleave, duplicate cells are possible, and appear in an unspecified mutual order. In this case we have a duplicate with column "A:B" and timestamp 2, because one copy passed through the all filter while the other was passed through the label and sink. Note that one copy has label "foo", while the other does not.
Cannot be used within the
predicate_filter,true_filter, orfalse_filterof a Condition.
-
(::Boolean) — ADVANCED USE ONLY.
Hook for introspection into the RowFilter. Outputs all cells directly to
the output of the read rather than to any parent filter. Consider the
following example:
Chain( FamilyRegex("A"), Interleave( All(), Chain(Label("foo"), Sink()) ), QualifierRegex("B") ) A,A,1,w A,B,2,x B,B,4,z | FamilyRegex("A") | A,A,1,w A,B,2,x | +------------+-------------+ | | All() Label(foo) | | A,A,1,w A,A,1,w,labels:[foo] A,B,2,x A,B,2,x,labels:[foo] | | | Sink() --------------+ | | | +------------+ x------+ A,A,1,w,labels:[foo] | A,B,2,x,labels:[foo] A,A,1,w | A,B,2,x | | | QualifierRegex("B") | | | A,B,2,x | | | +--------------------------------+ | A,A,1,w,labels:[foo] A,B,2,x,labels:[foo] // could be switched A,B,2,x // could be switchedDespite being excluded by the qualifier filter, a copy of every cell that reaches the sink is present in the final result.
As with an Interleave, duplicate cells are possible, and appear in an unspecified mutual order. In this case we have a duplicate with column "A:B" and timestamp 2, because one copy passed through the all filter while the other was passed through the label and sink. Note that one copy has label "foo", while the other does not.
Cannot be used within the
predicate_filter,true_filter, orfalse_filterof a Condition.
#strip_value_transformer
def strip_value_transformer() -> ::Boolean- (::Boolean) — Replaces each cell's value with the empty string.
#strip_value_transformer=
def strip_value_transformer=(value) -> ::Boolean- value (::Boolean) — Replaces each cell's value with the empty string.
- (::Boolean) — Replaces each cell's value with the empty string.
#timestamp_range_filter
def timestamp_range_filter() -> ::Google::Cloud::Bigtable::V2::TimestampRange- (::Google::Cloud::Bigtable::V2::TimestampRange) — Matches only cells with timestamps within the given range.
#timestamp_range_filter=
def timestamp_range_filter=(value) -> ::Google::Cloud::Bigtable::V2::TimestampRange- value (::Google::Cloud::Bigtable::V2::TimestampRange) — Matches only cells with timestamps within the given range.
- (::Google::Cloud::Bigtable::V2::TimestampRange) — Matches only cells with timestamps within the given range.
#value_range_filter
def value_range_filter() -> ::Google::Cloud::Bigtable::V2::ValueRange- (::Google::Cloud::Bigtable::V2::ValueRange) — Matches only cells with values that fall within the given range.
#value_range_filter=
def value_range_filter=(value) -> ::Google::Cloud::Bigtable::V2::ValueRange- value (::Google::Cloud::Bigtable::V2::ValueRange) — Matches only cells with values that fall within the given range.
- (::Google::Cloud::Bigtable::V2::ValueRange) — Matches only cells with values that fall within the given range.
#value_regex_filter
def value_regex_filter() -> ::String-
(::String) — Matches only cells with values that satisfy the given regular expression.
Note that, since cell values can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary value.
#value_regex_filter=
def value_regex_filter=(value) -> ::String-
value (::String) — Matches only cells with values that satisfy the given regular expression.
Note that, since cell values can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary value.
-
(::String) — Matches only cells with values that satisfy the given regular expression.
Note that, since cell values can contain arbitrary bytes, the
\Cescape sequence must be used if a true wildcard is desired. The.character will not match the new line character\n, which may be present in a binary value.