【Dynamics AX】Caching

    Dynamics AX Caching

    Cache Location

    Caches are used on both the client and the server. The Microsoft Dynamics AX runtime manages the cache by removing old records when new records are added to the cache.

    Client Cache

    A client-side cache can be used only by the client. The client cache is used when a select is executed from the client tier. If no record is found in the client cache, the client then searches the server cache for the record. If the record isn't located in the server cache, it's retrieved from the database. The maximum number of records maintained in a client cache is 100 records per table for a given company.



    Server Cache

    A server-side cache can be used by any connection to the server. The server cache is used when a select is executed on the server tier. If no record is found in the cache, it's retrieved from the database. The maximum number of records maintained in a server cache is 2,000 records per table for a given company.

    Record Caching

    Microsoft Dynamics AX database record caching is a performance-enhancing feature that helps avoid database access when it's not strictly necessary. Retrieving database records from memory instead of the database significantly speeds up data access. Caching can reduce the performance penalty for repetitively accessing the same database records.

    Types of Caching

    Caching is transparent to the application; however, it's important to know how caching works to optimize its performance in Microsoft Dynamics AX. Following are the types of caching:

    • Single-record
    • Set-based

    Single-record caching has the following characteristics:

    • Defined at design time
    • Moves records to the cache based on the table's CacheLookup property and the type of SELECT statement that is used to retrieve the record

    Set-based caching has the following characteristics:

    • Defined either at design time or in X++ code
    • Moves sets of records to the cache
    • Implemented either through the table's  CacheLookupproperty or in code by using the RecordViewCache class

    Single-Record Caching

    Record caching is enabled for a table when all the following statements are true:

    • The CacheLookup property on the table is enabled by setting it to one of the following values:

    · notInTTS
    · Found
    · FoundAndEmpty

    • The table's PrimaryIndex property is set to a unique index that exists on the table. The RecId index does not qualify as a caching index unless you set the table's PrimaryIndexproperty to this index.
    • The record buffer disableCache method has not been called with a parameter of true.

    The fields in the table's unique index make up the caching key. A record is placed in the cache when the following criteria are met:

    • The table is cached by setting the CacheLookup property to notInTTS, Found, or FoundAndEmpty.
    • The SELECT statement that selects the records uses an equal operator (==) on the caching key. The fields in the WHEREclause of the SELECT statement match the fields in the index referenced by the table's PrimaryIndex property.

    The table's CacheLookup property defines how and when records are cached as shown in the following table.

    CacheLookup Property Value Result
    None No data is cached or retrieved from the cache for this table.This property value should be used for tables that are heavily updated or where it's unacceptable to read outdated data.
    NotInTTS All successful caching key selects are cached.When in a transaction (after ttsBegin), no caches made outside the transaction are used. When inside a transaction, the record is read once from database and subsequently from cache. The record is select-locked when read in a transaction, which ensures that the record cached is not updated while the transaction is active.

    A typical example of the NotInTTS property is the CustTable in the Microsoft Dynamics AX standard application. It's acceptable to read outdated data from the cache outside a transaction, but when data is used for validation or creating references, it is ensured that the data is real-time.

    Found All successful caching key selects are cached. All caching key selects are returned from the cache if the record exists there. AselectforUpdate in a transaction forces reading from the database and replaces the record in the cache.This is typically used for static (lookup) tables, such as Unit, where the record usually exists.
    FoundAndEmpty All selects on caching keys are cached, including selects that are not returning data.All caching key selects are returned from caching if the record exists there, or the record is marked as nonexistent in the cache. AselectforUpdate in a transaction forces reading from the database and replaces the record in the cache.

    An example of FoundAndEmpty record caching is in the Discount table in the Microsoft Dynamics AX standard application. By default, the Discount table has no records. By using a FoundAndEmpty cache on this table, the keys that are queried for but not found are stored in the cache. Subsequent queries for these same non-existent records can be answered from the cache without a round trip to the database.

    EntireTable Creates a set-based cache on the server. The entire table is cached as soon as at least one record is selected from the table.

    The Found and FoundAndEmpty caches cross transaction boundaries. The NotInTTS cache is newly created inside a transaction. This example, modified for the purposes of this topic, demonstrates how records are retrieved from the cache when the table's CacheLookup property is set to NotInTTS, and thePrimaryIndexproperty is set to a unique index on the AccountNum field.

    static void NotInTTSCache(Args _args)
    {
    CustTable custTable;
    ;
    // The query looks for records in the cache.
    // If records don't exist, the query accesses the database.
    select custTable
    where custTable.AccountNum == '4000';
    // The transaction starts.
    ttsbegin;
    // The cache is not used. The query accesses the database
    // and records are placed in the cache.
    select custTable
    where custTable.AccountNum == '4000';
    // The query uses the database because
    // the forupdate keyword is used.
    select forupdate custTable
    where custTable.AccountNum == '4000';
    // The query uses the cache and not the database.
    select custTable
    where custTable.AccountNum == '4000';
    // The query uses the cache because
    // the forupdate keyword was used previously.
    select forupdate custTable
    where custTable.AccountNum == '4000';
    // The transaction is committed.
    ttscommit;
    // The query will use the cache.
    select custTable
    where custTable.AccountNum == '4000';
    }

    If the table CacheLookup property was set to Found or FoundAndEmpty, the first select statement inside the transaction (after the TTSBegin statement) would retrieve the record from the cache.

    Set-Based Caching

    In Microsoft Dynamics AX, groups of records can be cached all at once with set-based caching. Set-based caching can be implemented in two ways:

    • At design time, by setting the table's CacheLookup property to EntireTable.
    • In code, by using the RecordViewCache class.

    EntireTable Cache

    When you set a table's CacheLookup property to EntireTable, all the records in the table are placed in the cache after the first select. This type of caching follows the rules of single record caching in which theSELECTstatement WHERE clause fields must match those of the unique index defined in the table'sPrimaryIndex property.

    The EntireTable cache is located on the server and is shared by all connections to the Application Object Server (AOS). If a select is made on the client tier to a table that is EntireTable cached, it first looks in its own cache and then searches the server-side EntireTable cache. An EntireTable cache is created for each table for a given company. If you have two selects on the same table for different companies the entire table is cached twice.

    Joins that include an EntireTable cached table are only performed against the cached copy when all tables participating in the join are EntireTable cached. Otherwise a database join is performed.

    Important Note:

    Avoid using EntireTable caches for large tables because once the cache size reaches 128 KB the cache is moved from memory to disk. A disk search is much slower than an in-memory search.

    Flushing the Cache

    An EntireTable cache is flushed whenever an insert, update, or delete is made to the table. At the same time, the AOS notifies other AOSs that their caches of the same table must be flushed. After the cache is flushed, a subsequent select on the table causes the entire table to be cached again. Therefore, avoid caching any table that's frequently updated. Regardless of when updates are made, EntireTable caches are flushed every 24 hours by the AOS.

    RecordViewCache Cache

    Set-based caching is implemented in code by using the RecordViewCacheclass. You must first create a record buffer using the nofetch statement and then pass the record buffer to the RecordViewCache class when it's instantiated.

    The cache is created on the server and is only accessible by the process that creates the cache object. Once the cache is instantiated, all select statements are issued against the cache, as shown in the following

    static void RecordViewCache(Args _args)
    {
    CustTrans custTrans;
    RecordViewCache recordViewCache;
    ;
    // Define records to cache.
    select nofetch custTrans
    where custTrans.AccountNum == '4000';
    // Cache the records.
    recordViewCache = new RecordViewCache(custTrans);
    // Use cache.
    select firstonly custTrans
    where custTrans.AccountNum == '4000';
    custTrans.CurrencyCode == 'USD';
    }

    Due to concurrency issues, the forUpdate keyword on the instantiating X++SELECT statement should only be used when all of the records in the result set will be updated. Otherwise it's a better strategy to use selectforUpdate only for the records that are to be updated.

    The RecordViewCache class is used in a select when the select is from a table that's cached, the select statement doesn't participate in a join and the select WHERE clause matches the WHERE clause with which theRecordViewCache was instantiated.

    The cache created by the RecordViewCache class stores records in a linked list. Therefore Microsoft Dynamics AX searches the cache sequentially for records that match the search criteria. If the SELECTstatement contains anORDER BY clause, a temporary index is placed on the cache and the runtime uses the index when searching records.

    Original: http://dynamicsuser.net/forums/p/30043/157813.aspx

    ======================================================================

    Candidate for EntireTable CacheLookup on Dynamics AX

    When deciding which table is suitable for EntireTable caching in Dynamics AX, the rule is the 128k size limit (http://msdn.microsoft.com/en-us/library/bb314630(v=AX.50).aspx). With the note in MSDN - "Avoid using EntireTable caches for large tables because once the cache size reaches 128 KB the cache is moved from memory to disk. A disk search is much slower than an in-memory search.", so, how do we decide which table should be cached? The easiest way is to look at the page count of the table itself. In SQL Server, 1 page == 8kb, which means 128k == 16 pages. With the help of 'sys.dm_db_index_physical_stats' we can list out all the tables that is less than or equal 16 pages, these will be the candidate for further analysis. Do not change them all to EntireTable CacheLookup, there're further analysis required.

    USE
    GO
    SELECT OBJECT_NAME(object_id),
           [object_id],
           index_id,
           index_level,
           page_count,
           avg_fragmentation_in_percent
      FROM sys.dm_db_index_physical_stats(DB_ID(''),NULL,NULL,NULL,DEFAULT)
     WHERE page_count  > 0
       AND page_count <= 16
    GO

    If the system is still in implementation phase, most likely the data is quite crappy, insufficient, or with just a small set of test records, they're not helping in decision making. With the list of tables returned from the above query, do further analysis and ask yourself:
    - Is the table potentially growing larger over time?
    - Are the data quite static? (avoid doing EntireTable cache on small table, but has high change rate)
    - Is the table (unique) index correctly set? (Eg. to the ::find() method or other query's unique criteria)

    There's one thing that I'm not quite sure yet, that is whether the 128k limit is per index or per table.
    You can test it out by capturing the trace and look at it with Trace Parser.*NOTE: The query took around 30 minutes to run on my system (~500GB database), you might want to choose a better timing to run it.

    To run the query against one single table, replace the second parameter to the object Id of the table.

    From: sys.dm_db_index_physical_stats(DB_ID('<databasename>'),NULL,NULL,NULL,DEFAULT)

    To: sys.dm_db_index_physical_stats(DB_ID('<databasename>'),OBJECT_ID('<tablename>'),NULL,NULL,DEFAULT)

    Original: http://mybhat.blogspot.in/2011/06/candidate-for-entiretable-cachelookup.html



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