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The primary difference between a regular @ManyToOne and this mapping is the number of columns involved again, the order is important and should be the same as the order of the primary key columns. However, if you declare the referencedColumnName for each column, order isn t important, and both the source and target tables of the foreign key constraint can have different column names. The inverse mapping from User to Item with a collection is even more straightforward:

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SELECT * FROM Test.TestTran WHERE Col1 = 1; /* Still returns the same 2 rows with exactly the same values. */

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How to save a document in PDF format C# and VB.Net. Save to a file : // The file format will be detected automatically from the file extension: ". pdf ". dc. Save (@"d:\Book. pdf "); Save to a Stream: // Let's save our document to a MemoryStream . using ( MemoryStream ms = new MemoryStream ()) { dc.

@OneToMany(mappedBy = "seller") private Set<Item> itemsForAuction = new HashSet<Item>();

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This inverse side needs the mappedBy attribute, as usual for bidirectional associations. Because this is the inverse side, it doesn t need any column declarations. In legacy schemas, a foreign key often doesn t reference a primary key. Foreign key referencing nonprimary keys Usually, a foreign key constraint references a primary key. A foreign key constraint is an integrity rule that guarantees that the referenced table has one row with a key value that matches the key value in the referencing table and given row. Note that a foreign key constraint can be self-referencing; in other words, a column with a foreign key constraint can reference the primary key column of the same table. (The PARENT_CATEGORY_ID in the CaveatEmptor CATEGORY table is one example.)

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only to load, query, or save data in the chosen representation, which is the EntityMode.MAP in the previous example. Note that you can t link a map with a POJO instance; the seller reference has to be a HashMap, not an instance of UserPojo. We mentioned that another good use case for logical entity names is the mapping of one POJO to several tables, so let s look at that. Mapping a class several times Imagine that you have several tables with some columns in common. For example, you could have ITEM_AUCTION and ITEM_SALE tables. Usually you map each table to an entity persistent class, ItemAuction and ItemSale respectively. With the help of entity names, you can save work and implement a single persistent class. To map both tables to a single persistent class, use different entity names (and usually different property mappings):

SELECT * FROM Test.TestTran; /* Returns the 3 rows that existed in the table when the transaction was started. */ COMMIT TRAN; SELECT * FROM Test.TestTran; /* Now returns an empty result set because the alternate reality of the transaction has been discarded. */ -- Drop the table used in this example. DROP TABLE Test.TestTran;

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<hibernate-mapping> <class name="model.Item" entity-name="ItemAuction" table="ITEM_AUCTION"> <id name="id" column="ITEM_AUCTION_ID">...</id> <property name="description" column="DESCRIPTION"/> <property name="initialPrice" column="INIT_PRICE"/> </class> <class name="model.Item" entity-name="ItemSale" table="ITEM_SALE"> <id name="id" column="ITEM_SALE_ID">...</id> <property name="description" column="DESCRIPTION"/> <property name="salesPrice" column="SALES_PRICE"/> </class> </hibernate-mapping>

To track snapshot transactions and row versions, you can query the dynamic management views sys.dm_tran_active_snapshot_database_transactions (which shows the current active snapshot transactions) and sys.dm_tran_version_store (which shows you the storage for row versions). Update Conflicts There is an additional concurrency problem not yet mentioned because it is specific to the snapshot isolation level. If a specific row (or version of a row) is read in snapshot isolation, SQL Server guarantees that you will get the same row if you issue the query later in the transaction. What happens if the later query is an UPDATE or DELETE statement and the row has changed since it was read the first time SQL Server can t use the current version of the row as the base for the update because it would break the promise of the row not changing while the snapshot transaction is active. And it can t use the row version used by the snapshot transaction as a base because the other transaction that updated or deleted the row would experience a lost update (which is not allowed or supported in SQL Server). Instead, the snapshot transaction is rolled back, and it receives the following error message:

The model.Item persistent class has all the properties you mapped: id, description, initialPrice, and salesPrice. Depending on the entity name you use at runtime, some properties are considered persistent and others transient:

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