@InterfaceAudience.Public public class SkipFilter extends org.apache.hadoop.hbase.filter.FilterBase
For example, if all columns in a row represent weights of different things, with the values being
the actual weights, and we want to filter out the entire row if any of its weights are zero. In
this case, we want to prevent rows from being emitted if a single key is filtered. Combine this
filter with a ValueFilter:
scan.setFilter(new SkipFilter(new ValueFilter(CompareOp.NOT_EQUAL,
new BinaryComparator(Bytes.toBytes(0))));
Any row which contained a column whose value was 0 will be filtered out (since
ValueFilter will not pass that Cell). Without this filter, the other non-zero valued columns in
the row would still be emitted.
Filter.ReturnCode| Constructor and Description |
|---|
SkipFilter(Filter filter) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
Filter.ReturnCode |
filterCell(Cell c)
A way to filter based on the column family, column qualifier and/or the column value.
|
Filter.ReturnCode |
filterKeyValue(Cell c)
Deprecated.
|
boolean |
filterRow()
Filters that never filter by rows based on previously gathered state from
Filter.filterCell(Cell) can inherit this implementation that never filters a row. |
boolean |
filterRowKey(Cell cell)
Filters a row based on the row key.
|
Filter |
getFilter() |
boolean |
hasFilterRow()
Filters that never filter by modifying the returned List of Cells can inherit this
implementation that does nothing.
|
int |
hashCode() |
boolean |
isFamilyEssential(byte[] name)
By default, we require all scan's column families to be present.
|
static SkipFilter |
parseFrom(byte[] pbBytes)
Parse a serialized representation of
SkipFilter |
void |
reset()
Filters that are purely stateless and do nothing in their reset() methods can inherit this
null/empty implementation.
|
byte[] |
toByteArray()
Returns The filter serialized using pb
|
String |
toString()
Return filter's info for debugging and logging purpose.
|
Cell |
transformCell(Cell v)
By default no transformation takes place Give the filter a chance to transform the passed KeyValue.
|
createFilterFromArguments, filterAllRemaining, filterRowCells, filterRowKey, getNextCellHintisReversed, setReversedpublic SkipFilter(Filter filter)
public void reset() throws IOException
org.apache.hadoop.hbase.filter.FilterBaseIOException.reset in class org.apache.hadoop.hbase.filter.FilterBaseIOException - in case an I/O or an filter specific failure needs to be signaled.public boolean filterRowKey(Cell cell) throws IOException
FilterFilter.filterCell(Cell) below. If
Filter.filterAllRemaining() returns true, then Filter.filterRowKey(Cell) should also return
true. Concrete implementers can signal a failure condition in their code by throwing an
IOException.filterRowKey in class org.apache.hadoop.hbase.filter.FilterBasecell - The first cell coming in the new rowIOException - in case an I/O or an filter specific failure needs to be signaled.@Deprecated public Filter.ReturnCode filterKeyValue(Cell c) throws IOException
FilterReturnCode.NEXT_ROW, it should return
ReturnCode.NEXT_ROW until Filter.reset() is called just in case the caller calls
for the next row. Concrete implementers can signal a failure condition in their code by
throwing an IOException.filterKeyValue in class Filterc - the Cell in questionIOException - in case an I/O or an filter specific failure needs to be signaled.Filter.ReturnCodepublic Filter.ReturnCode filterCell(Cell c) throws IOException
FilterReturnCode.NEXT_ROW, it should return
ReturnCode.NEXT_ROW until Filter.reset() is called just in case the caller calls
for the next row. Concrete implementers can signal a failure condition in their code by
throwing an IOException.filterCell in class Filterc - the Cell in questionIOException - in case an I/O or an filter specific failure needs to be signaled.Filter.ReturnCodepublic Cell transformCell(Cell v) throws IOException
org.apache.hadoop.hbase.filter.FilterBasetransformCell in class org.apache.hadoop.hbase.filter.FilterBasev - the KeyValue in questionIOException - in case an I/O or an filter specific failure needs to be signaled.The transformed KeyValue is what is
eventually returned to the client. Most filters will return the passed KeyValue unchanged.,
for an example of a
transformation. Concrete implementers can signal a failure condition in their code by
throwing an {@link IOException}.public boolean filterRow()
org.apache.hadoop.hbase.filter.FilterBaseFilter.filterCell(Cell) can inherit this implementation that never filters a row.
Last chance to veto row based on previous Filter.filterCell(Cell) calls. The filter needs to
retain state then return a particular value for this call if they wish to exclude a row if a
certain column is missing (for example). Concrete implementers can signal a failure condition
in their code by throwing an IOException.filterRow in class org.apache.hadoop.hbase.filter.FilterBasepublic boolean hasFilterRow()
org.apache.hadoop.hbase.filter.FilterBasehasFilterRow in class org.apache.hadoop.hbase.filter.FilterBasepublic byte[] toByteArray() throws IOException
toByteArray in class org.apache.hadoop.hbase.filter.FilterBaseIOException - in case an I/O or an filter specific failure needs to be signaled.public static SkipFilter parseFrom(byte[] pbBytes) throws org.apache.hadoop.hbase.exceptions.DeserializationException
SkipFilterpbBytes - A pb serialized SkipFilter instanceSkipFilter made from bytesorg.apache.hadoop.hbase.exceptions.DeserializationException - if an error occurredtoByteArray()public boolean isFamilyEssential(byte[] name) throws IOException
org.apache.hadoop.hbase.filter.FilterBaseIOException.isFamilyEssential in class org.apache.hadoop.hbase.filter.FilterBaseIOException - in case an I/O or an filter specific failure needs to be signaled.public String toString()
org.apache.hadoop.hbase.filter.FilterBasetoString in class org.apache.hadoop.hbase.filter.FilterBaseCopyright © 2007–2020 The Apache Software Foundation. All rights reserved.