public class RollbackStagedTable
extends java.lang.Object
implements org.apache.spark.sql.connector.catalog.StagedTable, org.apache.spark.sql.connector.catalog.SupportsRead, org.apache.spark.sql.connector.catalog.SupportsWrite, org.apache.spark.sql.connector.catalog.SupportsDelete
A Spark catalog can implement StagingTableCatalog to support atomic operations by producing StagedTable. But if a
catalog implements StagingTableCatalog, Spark expects the catalog to be able to produce a StagedTable for any table
loaded by the catalog. This assumption doesn't always work, as in the case of SparkSessionCatalog
, which
supports atomic operations can produce a StagedTable for Iceberg tables, but wraps the session catalog and cannot
necessarily produce a working StagedTable implementation for tables that it loads.
The work-around is this class, which implements the StagedTable interface but does not have atomic behavior. Instead, the StagedTable interface is used to implement the behavior of the non-atomic SQL plans that will create a table, write, and will drop the table to roll back.
This StagedTable implements SupportsRead, SupportsWrite, and SupportsDelete by passing the calls to the real table.
Implementing those interfaces is safe because Spark will not use them unless the table supports them and returns the
corresponding capabilities from capabilities()
.
Constructor and Description |
---|
RollbackStagedTable(org.apache.spark.sql.connector.catalog.TableCatalog catalog,
org.apache.spark.sql.connector.catalog.Identifier ident,
org.apache.spark.sql.connector.catalog.Table table) |
Modifier and Type | Method and Description |
---|---|
void |
abortStagedChanges() |
java.util.Set<org.apache.spark.sql.connector.catalog.TableCapability> |
capabilities() |
void |
commitStagedChanges() |
void |
deleteWhere(org.apache.spark.sql.sources.Filter[] filters) |
java.lang.String |
name() |
org.apache.spark.sql.connector.read.ScanBuilder |
newScanBuilder(org.apache.spark.sql.util.CaseInsensitiveStringMap options) |
org.apache.spark.sql.connector.write.WriteBuilder |
newWriteBuilder(org.apache.spark.sql.connector.write.LogicalWriteInfo info) |
org.apache.spark.sql.connector.expressions.Transform[] |
partitioning() |
java.util.Map<java.lang.String,java.lang.String> |
properties() |
org.apache.spark.sql.types.StructType |
schema() |
public RollbackStagedTable(org.apache.spark.sql.connector.catalog.TableCatalog catalog, org.apache.spark.sql.connector.catalog.Identifier ident, org.apache.spark.sql.connector.catalog.Table table)
public void commitStagedChanges()
commitStagedChanges
in interface org.apache.spark.sql.connector.catalog.StagedTable
public void abortStagedChanges()
abortStagedChanges
in interface org.apache.spark.sql.connector.catalog.StagedTable
public java.lang.String name()
name
in interface org.apache.spark.sql.connector.catalog.Table
public org.apache.spark.sql.types.StructType schema()
schema
in interface org.apache.spark.sql.connector.catalog.Table
public org.apache.spark.sql.connector.expressions.Transform[] partitioning()
partitioning
in interface org.apache.spark.sql.connector.catalog.Table
public java.util.Map<java.lang.String,java.lang.String> properties()
properties
in interface org.apache.spark.sql.connector.catalog.Table
public java.util.Set<org.apache.spark.sql.connector.catalog.TableCapability> capabilities()
capabilities
in interface org.apache.spark.sql.connector.catalog.Table
public void deleteWhere(org.apache.spark.sql.sources.Filter[] filters)
deleteWhere
in interface org.apache.spark.sql.connector.catalog.SupportsDelete
public org.apache.spark.sql.connector.read.ScanBuilder newScanBuilder(org.apache.spark.sql.util.CaseInsensitiveStringMap options)
newScanBuilder
in interface org.apache.spark.sql.connector.catalog.SupportsRead
public org.apache.spark.sql.connector.write.WriteBuilder newWriteBuilder(org.apache.spark.sql.connector.write.LogicalWriteInfo info)
newWriteBuilder
in interface org.apache.spark.sql.connector.catalog.SupportsWrite