Uses of Interface
com.bigdata.sparse.IPrecondition

Packages that use IPrecondition

Package	Description
com.bigdata.sparse	This package provides support for treating normal B+Trees using a "sparse row store" pattern and can be applied to both local B+Trees and scale-out indices.

Uses of IPrecondition in com.bigdata.sparse

Classes in com.bigdata.sparse that implement IPrecondition

Modifier and Type	Class and Description
class	EmptyRowPrecondition IPrecondition succeeds iff there are no property values for the logical row (it recognizes a null, indicating no property values, and an empty logical row, indicating that an INameFilter was applied and that there were no property values which satisified that filter, and a deleted property value for the primary key, which is often used as a shorthand for deleting the logical row).
class	Precondition Base class may be used for combining IPrecondition.

Methods in com.bigdata.sparse with parameters of type IPrecondition

Modifier and Type	Method and Description
void	Precondition.add(IPrecondition c)
TPS	SparseRowStore.write(Schema schema, Map<String,Object> propertySet, long writeTime, INameFilter filter, IPrecondition precondition) Atomic write with atomic read of the then current post-condition state of the logical row.
TPS	SparseRowStore.write(Schema schema, Map<String,Object> propertySet, long fromTime, long toTime, long writeTime, INameFilter filter, IPrecondition precondition) Atomic write with atomic read of the post-condition state of the logical row.

Constructors in com.bigdata.sparse with parameters of type IPrecondition

Constructor and Description
AtomicRowWriteRead(Schema schema, Map<String,Object> propertySet, long fromTime, long toTime, long writeTime, INameFilter filter, IPrecondition precondition) Constructor for an atomic write/read operation.
Precondition(IPrecondition c)