Which three are true about lock ownership and contention in an Oracle database server?

选择了： transaction can wait on many row locks on rows from different tables at the same time、A transaction can wait on many table locks at the same time、A transaction can wait on many row locks on rows from the same table at the same time

选择了： transaction can wait on many row locks on rows from different tables at the same time、A transaction can wait on many table locks at the same time

选择了： transaction can wait on many row locks on rows from different tables at the same time、A transaction can wait on many row locks on rows from the same table at the same time

选择了： A transaction can hold many table locks at the same time、Using the DBMS_LOK package is more efficient than having the Oracle servers default locking occur、A transaction can wait on many table locks at the same time、A transaction can wait on many row locks on rows from the same table at the same time

选择了： A transaction can hold many table locks at the same time、Using the DBMS_LOK package is more efficient than having the Oracle servers default locking occur、A transaction can wait on many table locks at the same time

选择了： A transaction can hold many table locks at the same time、Using the DBMS_LOK package is more efficient than having the Oracle servers default locking occur、A transaction can wait on many row locks on rows from the same table at the same time

选择了： A transaction can hold many table locks at the same time、Using the DBMS_LOK package is more efficient than having the Oracle servers default locking occur

选择了： A transaction can hold many table locks at the same time、A transaction can wait on many table locks at the same time、A transaction can wait on many row locks on rows from the same table at the same time

选择了： A transaction can hold many table locks at the same time、A transaction can wait on many table locks at the same time

选择了： A transaction can hold many table locks at the same time、A transaction can wait on many row locks on rows from the same table at the same time