DeletableRelation
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package sources
Delete a set of row matching given criteria.
Delete a set of row matching given criteria.
SQL WHERE criteria to select rows that will be deleted
number of rows deleted
Destroy and cleanup this relation.
Destroy and cleanup this relation. It may include, but not limited to, dropping the external table that this relation represents.
Get a spark plan to delete rows the relation.
Get a spark plan to delete rows the relation. The result of SparkPlan execution should be a count of number of updated rows.
Get the "key" columns for the table that need to be projected out by UPDATE and DELETE operations for affecting the selected rows.
Get the "key" columns for the table that need to be projected out by UPDATE and DELETE operations for affecting the selected rows.
Get the "primary key" of the row table and "key columns" of the column table
Get the "primary key" of the row table and "key columns" of the column table
Get a spark plan to update rows in the relation.
Get a spark plan to update rows in the relation. The result of SparkPlan execution should be a count of number of updated rows.
Get the partitioning columns for the table, if any.
Get the partitioning columns for the table, if any.
Name of this table as stored in catalog.
Name of this table as stored in catalog.
Truncate the table represented by this relation.
Truncate the table represented by this relation.
Execute a DML SQL and return the number of rows affected.
Execute a DML SQL and return the number of rows affected.
Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
If needConversion is false, buildScan() should return an RDD of InternalRow
1.4.0
The internal representation is not stable across releases and thus data sources outside of Spark SQL should leave this as true.
Returns an estimated size of this relation in bytes.
Returns an estimated size of this relation in bytes. This information is used by the planner to decide when it is safe to broadcast a relation and can be overridden by sources that know the size ahead of time. By default, the system will assume that tables are too large to broadcast. This method will be called multiple times during query planning and thus should not perform expensive operations for each invocation.
1.3.0
It is always better to overestimate size than underestimate, because underestimation could lead to execution plans that are suboptimal (i.e. broadcasting a very large table).
Returns the list of Filters that this datasource may not be able to handle.
Returns the list of Filters that this datasource may not be able to handle. These returned Filters will be evaluated by Spark SQL after data is output by a scan. By default, this function will return all filters, as it is always safe to double evaluate a Filter. However, specific implementations can override this function to avoid double filtering when they are capable of processing a filter internally.
1.6.0
If required inject the key columns in the original relation.
If required inject the key columns in the original relation.