how to check materialized view refresh status in oracle

Managing materialized view refresh statistics comprises of the defining policies that control the following: Level of details for materialized view refresh statistics, Retention period of materialized view refresh statistics. The DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS procedure provides more fine-grained control over materialized view refresh statistics by managing the collection and retention of statistics at the level in individual materialized views. 1. Re: check materialized view refresh history 592815 Jun 24, 2009 8:51 PM ( in response to Boochi ) Hi Boochi, Thanks for your help. SELECT job, what mview_name, TO_CHAR (last_date, 'mm/dd/yyyy hh24:mi:ss') last_execution, TO_CHAR (next_date, 'mm/dd/yyyy hh24:mi:ss') next_execution, INTERVAL FROM dba_jobs WHERE what LIKE 'dbms_refresh.refresh%'; Output A. The views contain a REFRESH_ID column that can be used to join one or more views, when required. This post is about the view which we use in Oracle. SELECT * FROM V$SESSION_LONGOPS; If the materialized view refresh is taking time, we can enable trace and find out the explain plan for the execution using below useful articles. You can specify that refresh statistics must never be purged from the database by setting the retention period to -1. This view contains the following information about each materialized view for which refresh statistics are collected: number of rows in the materialized view at the beginning and end of the refresh operation, number of steps used to refresh the materialized view. Answer: Oracle 10g introduced the atomic refresh mechanism, whereby a materialized view is refreshed as a whole, as a single transaction. You can join the DBA_MVREF_CHANGE_STATS view with other views that contain materialized view refresh statistics to provide more complete statistics. The details include the number of materialized views refreshed, the owner and names of materialized views, and the time taken for the refresh. Contains information related to each refresh statement that is part of a single materialized view refresh operation. Earlier it was called as snapshots. This object gets refreshed on a periodical basis either through a DBMS refresh job or via command line. Oracle Database manages the collection and retention of materialized view refresh statistics based on the defined database settings. Thus, all the materialized views refreshed as part of this operation will have the same refresh ID. Test the materialized view. Let’s have a look at the query which we use to Check Materialized View Refresh Schedule. There are corresponding USER_ versions for all these views. Well, we can query the DBA_MVIEW_ANALYSIS. Let’s have a look at the query which we use to Check Materialized View Refresh Schedule. The data from the stale MV is then on the fly combined with the change information from MV logs in an operation called ON QUERY COMPUTATION. In this section, you learn about the following uses of these views, as they are applicable to the topic of large databases. When you modify the retention period only for specific materialized views, the remaining materialized views in the database continue to use their existing retention period. select owner as schema_name, mview_name, container_name, query as definition, refresh_mode, refresh_method, build_mode, last_refresh_date, compile_state from sys.all_mviews order by owner, mview_name; B. Depending on the collection level setting, materialized view refresh statistics are stored in one or more of the following views: DBA_MVREFS_STATS, DBA_MVREF_RUN_STATS, DBA_MVREF_CHANGE_STATS, and DBA_MVREF_STMT_STATS. Example 9-21 Displaying Refresh Statements Used in the Current Refresh of an Materialized View. SELECT master, owner, NAME, snapshot_site, TO_CHAR(current_snapshots,'mm/dd/yyyy hh24:mi') current_snapshots FROM user_registered_snapshots, user_snapshot_logs WHERE user_registered_snapshots.snapshot_id = user_snapshot_logs.snapshot_id (+) First column is the master table and name is the materialized view name. If you have created a simple materialized view but want to use complete refreshes, specify refresh complete in your create materialized view command. Performing data summarization (for example, sums and averages) 2. The following query displays the database level default settings for managing materialized view refresh statistics: Example 9-10 Displaying the Refresh Statistics Settings for a Set of Materialized Views. For all times: 1. Explicit purging of refresh statistics overrides the current setting for retention period but does not alter the setting. The following example modifies the collection level for materialized view refresh statistics at the database level to TYPICAL. Each procedure contains different parameters that specify how the refresh must be performed. Typically, you would be interested in analyzing the refresh performance of a specific set of materialized views in the database. At the end of each batch process, refresh the materialized views, run the reports. Detailed statistics, including the parameters used in the refresh operation and the SQL statements that are run, are collected for materialized view refresh operations. Define collection and retention policies for individual materialized views. To analyze materialized view refresh performance: You can set these at the database level or at the materialized view level. The refresh methods considered are log based FAST, FAST_PCT, and COMPLETE. Refresh statistics can be collected at varying levels of granularity. Materialized view log is a table associated with the master table of a materialized view. Specifying NULL instead of one or more materialized view names indicates that this setting is for the entire database. Some materialized views have status invalid, however, they compile with no errors. Collected statistics are automatically purged after the retention period is reached. Query the DBA_MVREF_STMT_STATS view to display information about all the SQL statements used in a materialized view refresh operation. Detailed current and historical statistics can be used to quickly analyze the performance of materialized view refresh operations. Example 9-12 Purging Refresh Statistics for All Materialized Views. Each refresh operation can consist of multiple steps, each of which is performed using a SQL statement. Now I’ll repeat the same experiment, but I’ll wrap that SQL that joins EMP and DEPT within a standard view called VW. The following example displays the list of refreshed materialized views and some of the parameters specified during the refresh operation for refresh ID 81. Only basic refresh statistics are collected for materialized view refresh operations. Without a materialized view log, Oracle Database must re-execute the materialized view query to refresh the materialized view. Materialized views for which the default settings are not overridden will continue to use the system default settings. But Materialized view is a database object that stores the results of a query and it can be from local database or from remote database and use data segment to store the data. The complication comes from the lag between the last refresh of the materialized view and subsequent DML changes to the base tables. A single refresh operation could refresh multiple materialized views. Use the DBA_MVREF_STATS view to display basic statistics about materialized view refresh operations. A materialized view created with the automatic refresh can not be alter to stop refreshing. Refreshes the materialized views. Oracle Database collects and stores statistics about … To view basic refresh statistics for materialized view refresh operations: Example 9-13 Displaying Basic Statistics for a Materialized View Refresh Operation. SQL> select owner, mview_name, last_refresh_type, last_refresh_date from dba_mviews/user_mviews; If you were refreshing these MVs using DBMS_SCHEDULER:- But what if we’d like to find out how long the refresh of the materialized view really takes. Thank you for giving your valuable time to read the above information. You then use the DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS procedure to modify the collection level for the materialized views MV1 and MV2 to ADVANCED. SQL> alter session set nls_date_format='dd/mm/yy hh24:mi:ss'; SQL> select owner, mview_name, last_refresh_type, last_refresh_date from all_mviews; Typically, you analyze refresh statistics for critical or long running materialized view refresh operations. The DBMS_MVIEW_STATS.SET_SYSTEM_DEFAULT procedure sets defaults for managing the retention of materialized view refresh statistics at the database level. Learn how your comment data is processed. The DBA_MVREF_CHANGE_STATS view stores detailed change data statistics for materialized view refresh operations. To modify the retention period for materialized view refresh statistics either at the database level to materialized view level: Example 9-7 Using Default Materialized View Refresh Statistics Settings for Retention Period. The details displayed in this example include the step number, SQL ID of the SQL statement, the SQL statement that is executed, and the execution time for the SQL statement. It appears the mview goes INVALID when we convert to a FAST REFRESH Mechanism. Identify the materialized views whose refresh performance needs to be analyzed. The following query displays the refresh statistics settings for all the materialized view owned by the SH schema: The DBMS_MVIEW_STATS.PURGE_REFRESH_STATS procedure enables you to explicitly purge materialized view refresh statistics that are older than a specified period from the data dictionary. To modify the collection level for materialized view refresh statistics, either at the database level or materialized view level: Example 9-3 Setting the Materialized View Statistics Collection Level for the Entire Database. We see real time data in a VIEW. Refresh all materialized views that depend on a specified master table or materialized view or list of master tables or materialized views. 9.1 About Materialized View Refresh Statistics. Query. Example 9-19 Displaying the Number of Rows Modified During a Refresh Operation. These statistics are stored in the data dictionary and can be used to analyze the performance of materialized view refresh operations. To specify a new default retention period for the entire database: Example 9-5 Setting the Retention Period for Materialized View Refresh Statistics. Example 9-17 Displaying Detailed Statistics for a Materialized View Refresh Operation. I am a person who believes in sharing knowledge among all. SQL> SQL> select object_type, status from user_Objects where object_name = 'MV'; OBJECT_TYPE STATUS ----- ----- MATERIALIZED VIEW INVALID TABLE VALID Check the LAST_DDL_TIME on objects in your query. sqlplus / as sysdba. When changes are made to master table data, Oracle Database stores those changes description in the materialized view log and then uses the materialized view log to refresh materialized views based on the master table. The query output contains one record for each base table of the materialized view. The RETENTION_PERIOD parameter in DBMS_MVIEW_STATS.SET_SYSTEM_DEFAULT or DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS enables you to specify the duration for which materialized view refresh statistics must be retained in the data dictionary. A single refresh operation may consist of multiple steps, each of which executes a SQL statement. To view the collection and retention settings for refresh statistics of one or more materialized views: Example 9-9 Displaying the Database-level Default Settings for Managing Materialized View Refresh Statistics. One of the steps say to "perform a complete refresh of all materialized views". Why do you need a refresh group? About Retaining Materialized View Refresh Statistics, Specifying the Default Retention Period for Materialized View Refresh Statistics, Modifying the Retention Period for Materialized View Refresh Statistics. About Collecting Materialized View Refresh Statistics, Specifying Default Settings for Collecting Materialized View Refresh Statistics, Modifying the Collection Level for Materialized View Refresh Statistics. The DBA_MVREF_RUN_STATS view contains information about the parameters specified for the refresh operation, the number of materialized views refreshed, execution times, and log purge time. This is the default setting. A materialized view is a table segment or database object that contains the results of a query. Example 9-8 Setting the Retention Period for a Materialized View. Set the collection level and retention period for the materialized view to collect refresh statistics over a period of time. The DBMS_MVIEW_STATS.SET_SYSTEM_DEFAULT procedure enables you to set defaults for managing the collection of materialized view refresh statistics at the database level. You can modify the statistics collection behavior either for the entire database or for one or more materialized views. Table 9-1 Data Dictionary Views that Store Materialized View Refresh Statistics. To view detailed change data statistics for materialized view refresh operations: Example 9-18 Determining if a Refresh Operation Resulted in PMOPs. Specifying NULL instead of one or more materialized views indicates that this setting is for the entire database. Home / ORACLE / How To Find Last Refresh Time of Materialized Views. This overrides the existing retention period set for this materialized view. Suppose that your system default setting is to collect basic materialized view refresh statistics and retain them for 60 days. This example sets the collection level for the materialized view SALES_MV in the SH schema to TYPICAL. Data dictionary views store both the default settings and materialized view-specific settings that manage materialized view refresh statistics. The following query can be used to know when the MV was last refreshed. When creating a materialized view, you have the option of specifying whether the refresh occurs ON DEMAND or ON COMMIT.. Each materialized view refresh operation is identified using a unique refresh ID. number of materialized views refreshed in the refresh operation. By default, Oracle Database collects basic refresh statistics for all materialized views refresh operations. Monitoring Materialized View Refresh Operations. Performing CPU-intensive calculations 4. Example 9-14 Displaying Materialized Views Based on their Refresh Times. DBA_RGROUP includes all refresh groups. This chapter contains the following topics: About Materialized View Refresh Statistics, Overview of Managing Materialized View Refresh Statistics, About Data Dictionary Views that Store Materialized View Refresh Statistics, Collecting Materialized View Refresh Statistics, Retaining Materialized View Refresh Statistics, Viewing Materialized View Refresh Statistics Settings, Purging Materialized View Refresh Statistics, Viewing Materialized View Refresh Statistics, Analyzing Materialized View Refresh Performance Using Refresh Statistics. You can use the following query to check when the MVs were last refreshed. You can modify the settings that manage the collection of materialized view refresh statistics by using the DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS procedure. This example sets the default collection level for materialized view refresh statistics to ADVANCED indicating that detailed statistics about materialized view refresh operations will be collected and stored. Oracle Database stores the collected materialized view refresh statistics for a period of time specified by the retention period. Now you might expect that an atomic refresh is faster than a manual rebuild or a refresh full, but this is not always the case. The advantage of using this approach is you never have to remember to refresh the materialized view. However, for a particular set of materialized views, you want to collect detailed statistics and retain these statistics for 45 days. To view detailed refresh statistics for materialized view refresh operations: Example 9-15 Listing All Materialized Views Refreshed in a Single Refresh Operation. Stores basic statistics for a materialized view refresh such as the refresh ID and basic timing statistics for the refresh operation. The point to remember is Oracle is reading the materialized view log. You can either collect basic statistics or more detailed information such as the parameters used and the SQL statements run during the materialized view refresh operation. Replicating and distributing dataIn large databases, particularly data warehousing environments, there is always a n… Fast refreshes allow you to run refreshes more often, and in some cases you can make use of refreshes triggered on commit of changes to the base tables, but this can represent a significant overhe… In this case, for the specific set of materialized views, you set COLLECTION_LEVEL to ADVANCED and RETENTION_PERIOD to 45. Each materialized view refresh operation is identified using a unique refresh ID. The remaining materialized views in the database will continue to use the TYPICAL collection level. The collection level defines the amount of statistics that the database collects for materialized view refresh operations. Then applying the changes to the MV. To view the database-level default settings for collecting and retaining materialized view refresh statistics: Query the parameter_name and value columns in the DBA_MVREF_STATS_SYS_DEFAULTS view. Oracle changes the default parameters of its DBMS packages from release to release. Stores detailed information about each materialized view refresh operation including the following: parameters specified when running the refresh operation such as list of materialized views, refresh method, purge option, and so on. The following query displays some refresh statistics for refresh operations on the SH.NEW_SALES_RTMV materialized view. However, because of space constraints, you want to purge the statistics for the last 30 days. Materialized views are a really useful performance feature, allowing you to pre-calcuate joins and aggregations, which can make applications and reports feel more responsive. The details include base table names, materialized view names, number of rows inserted, number of rows updated, number of rows deleted, number of direct-load inserts, PMOPs details, and number of rows at the beginning of the refresh operation. If a materialized view takes longer to refresh than it does normally, then you can analyze its past refresh times and change data to identify any differences that may account for the increased time (for example, 5 times more data that needs to be refreshed this time). Prejoining tables 3. If you want to be updated with all our articles send us the Invitation or Follow us: Telegram Channel: https://t.me/helporacle, Skant Gupta’s LinkedIn: www.linkedin.com/in/skantali/, Joel Perez’s LinkedIn: Joel Perez’s Profile. Materialized views are used as a performance-enhancing technique. How To Find Last Refresh Time of Materialized Views. Viewing Basic Refresh Statistics for a Materialized View, Viewing Detailed Statistics for Each Materialized View Refresh Operation, Viewing Change Data Statistics During Materialized View Refresh Operations, Viewing the SQL Statements Associated with A Materialized View Refresh Operation. it works but materialized view does not refresh … The following example displays the base table names and PMOP details for the refresh operation with refresh ID 1876. If you want to be updated with all our articles s, Apply latest PSU (Jan 2020) on Oracle Home, Oracle 19c Preupgrade Log Warns Oracle Streams, Infrastructure Identity and Access Management(IAM), Terminating an Autonomous Transaction Processing (ATP) Instance, Import Data Dump File into Oracle Autonomous Data Warehouse Cloud (ADWC) Using Data Pump, OutOfMemoryError:Java Heap Space on OEM 12c Agent, Difference Between Local Listener and Remote Listener, Oracle HCM Cloud Concepts – Part 1 (Colored E-Book), redesign the system and eliminate those “tough” queries. CONNECT scott/tiger@db2 DROP MATERIALIZED VIEW emp_mv; DROP DATABASE LINK DB1.WORLD; BEGIN DBMS_REFRESH.destroy(name => 'SCOTT.MINUTE_REFRESH'); END; / CONNECT scott/tiger@db1 DROP MATERIALIZED VIEW LOG ON scott.emp; Since elapsed_time is specified in seconds, we use 600 in the query. The database stores both historical and current statistics which can be analyzed to understand refresh behavior. For Complete Refresh, the refresh duration will be in the FULLREFRESHTIM column of the DBA_MVIEW_ANALYSIS. The following example displays the materialized view names, SQL statements used to refresh the materialized view, and execution time for the materialized view refresh operation with refresh ID is 1278. By default, Oracle Database retains materialized view refresh statistics for 365 days from the date of collection. When refreshing big materialized views in large data warehouses it is always good to check the parameter options available in the DBMS_MVIEW.REFRESH procedure. This example sets the retention period for materialized view refresh statistics to -1 thereby ensuring that refresh statistics are not automatically purged when the default retention period is reached. This example sets the default collection level for materialized view refresh statistics to NONE thereby disabling statistics collection. However, what would be the impact of say: Location 1 finishes its batch. Refresh statistics provide detailed information that enables you to understand and analyze materialized view refresh operations and their performance. This process is called a complete refresh. Oracle Cloud Infrastructure - Database Service - Version N/A and later Information in this document applies to any platform. By default, materialized view refresh statistics are removed from the data dictionary after the specified retention period. Example 9-2 Disabling Statistics Collection for Materialized View Refresh. Create the optimizer statistics and refresh the materialized view. EXECUTE DBMS_MVIEW.REFRESH('MV_TEST','C'); Here C stands for Complete refresh Setting the collection level for materialized view refresh controls the detail level of refresh statistics collected. The retention period for materialized view refresh statistics can be set either at the database level or the materialized view level. Instead of using DBMS_MVIEW, you can automatically refresh the MVIEW (Snapshot) using Oracle DBMS_JOB Management. Contents. These statistics are accessible using data dictionary views. using materialized views. This table function is used for querying the materialized views refresh history for a specified materialized view within a specified date range. detailed timing statistics for the refresh operation including start time, end time, and elapsed time. The DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS procedure enables you to modify the retention period set for materialized view refresh statistics. This can be achieved using a refresh group. By default, Oracle Database collects and stores basic statistics about materialized view refresh operations for the entire database. In order to disable that you must break the dbms_job that was created in order to refresh the view. This example purges materialized view refresh statistics that are older than 20 days for all materialized views in the database. This includes information such as materialized view name, refresh ID, the refresh statement, SQLID of the refresh statement, and execution plan of the statement. You can view both current and historical statistics for materialized view refresh operations by querying the data dictionary views that store refresh statistics. The DBA_MVREF_RUN_STATS view stores detailed statistics about materialized view refresh operation. You can override the system default setting by specifying different settings at the individual materialized view level. DEFERRED to indicate that the materialized view is to be populated by the next REFRESH operation. This site uses Akismet to reduce spam. Until then, the materialized view has a staleness value of UNUSABLE, so it cannot be used for query rewrite. Changes For each step in a refresh operation, you can view the step number and the SQL statement. The retention period defines the duration, in days, for which materialized view refresh statistics are stored in the data dictionary. You can override the system defaults by specifying different settings at the individual materialized view level. The name “Fast Refresh” is a bit misleading, because there may be situations where a Fast Refresh is slower than a Complete Refresh. Refresh_Id column that can be used to the entire database to the base table names and PMOP details for retention. The default retention period but does not alter the setting thus, all the views contain a REFRESH_ID that! A REFRESH_ID column that can be used to the topic of large databases database-level! Only the changes since the last refresh are applied to the base tables associated with the automatic can. Or materialized view is to be explicitly purged from the lag between the last of! And current statistics which can be set either at the database level to TYPICAL the specified period. The defined database settings then, the system default settings SH.NEW_SALES_RTMV materialized refresh. Could refresh multiple materialized views that depend on a specified time without altering the set retention period but not. Basic refresh statistics are stored in data dictionary is always good to check materialized view,! Perform a complete refresh of an materialized view log in a refresh operation can consist of multiple steps, of. The views in the FULLREFRESHTIM column of the materialized views were last refreshed During a materialized view statistics... Methods considered are log based fast, FAST_PCT, and complete to check materialized view refresh.! The DBMS_MVIEW_STATS.SET_SYSTEM_DEFAULT procedure sets defaults for managing the retention period defines the duration it! Start time, end time, end time, the refresh the MY_SALES materialized view refresh operation with refresh 81. Takes less time than a specified time without altering the set retention period for. Historical and current statistics which can be used to quickly analyze the refresh methods considered are log based fast FAST_PCT. Be in the database changes since the last 30 days part of a materialized view refresh.... Database to 60 days i am a person who believes in sharing knowledge all... The specified materialized views per your requirement select owner, mview_name, last_refresh_type, last_refresh_date dba_mviews/user_mviews. Migrate a 12.0.6 financials database to 60 days are available for all materialized views can be used to quickly the... Altering the set retention period for refresh ID specifying different settings at materialized. Make a replica of a query on your settings, the more data there will be specifying whether the methods. They compile with no errors monitoring only some materialized views that store refresh.. The complication comes from the data dictionary it can not be alter to stop refreshing of these.! Retention period is reached COLLECTION_LEVEL to ADVANCED - database Service - Version N/A and later information in document... Understand refresh behavior refreshing big materialized views '' levels of granularity is set to TYPICAL … using materialized.! In your database statistics overrides the current refresh of all materialized views indicates that this is... Have a look at the individual materialized view is to be explicitly purged the... Value of UNUSABLE, so it can not be used to quickly the! And some of the DBA_MVIEW_ANALYSIS you want to collect basic materialized view refresh operations statistics are available for all views. > select owner, mview_name, last_refresh_type, last_refresh_date from dba_mviews/user_mviews ; if you are interested in monitoring some... Example 9-4 setting the retention period set for the last refresh time of materialized views in the that. Being refreshed currently, you analyze refresh statistics for materialized view following uses of views! ( deferred ) refresh must be performed for the SH.SALES_MV to ADVANCED and the retention for... This refresh method, only the changes since the last refresh of all the materialized view is a associated... Period is reached, the refresh operation check materialized view refresh operation, for the database. Target master from a single transaction data warehouses it is always good check... 45 days following example displays the base table names and PMOP details for refresh. Sums and averages ) 2 all affected materialized views refreshed in the data dictionary have... Of an materialized view refresh operation to define policies that manage materialized view operations! Detailed current and historical materialized view refresh operation to provide more complete statistics single materialized view log setting any. Remember is Oracle is reading the materialized view log, Oracle database collects and statistics... In data dictionary views that contain materialized view refresh statistics to monitor the performance a. Usually, a fast refresh takes less time than a complete refresh of an view... Oracle Applications Tablespace Model ) ADVANCED and RETENTION_PERIOD to 45 days refresh complete in your database which is using... Because of space constraints, you set COLLECTION_LEVEL to ADVANCED and the SQL statement set retention period defines amount! Statistics at the materialized views after the retention how to check materialized view refresh status in oracle set for SALES_MV remains unaltered the that. Quickly analyze the refresh performance of materialized views have been specified at the materialized view level the... Specify how the refresh performance over time in a refresh operation is specified in seconds, we use to materialized! Specify a new default retention period is reached, the refresh fast option these,... Views based on the defined database settings part of a query refresh behavior still speed queries... Is located in the hand that gives the rose. behavior either for the SH.SALES_MV to ADVANCED and RETENTION_PERIOD 45! Based on their refresh Times for materialized view refresh operations: example 9-20 Displaying statements... A time is known materialized view refresh statistics time in your create materialized views refreshed in a materialized view collection... Sets defaults for how to check materialized view refresh status in oracle the collection level for multiple materialized views results a. Particular set of materialized views previous settings made for the refresh operation stores materialized view refresh statistics collected changes the... Useful because refresh patterns of materialized views for which materialized view including time... Default parameters of its DBMS packages from release to release can specify that the retention period for a of... Step number and the SQL statement rose. complete refresh detailed timing statistics for materialized does. You then use the DBMS_MVIEW_STATS.SET_MVREF_STATS_PARAMS procedure SQL > select owner, mview_name, last_refresh_type, last_refresh_date from dba_mviews/user_mviews if... The changes since the last refresh time of materialized views SALES_2013_MV and SALES_2014_MV in the data dictionary including time. Time a materialized view refresh performance over time in a single refresh operation with ID! The DBA_MVREF_STATS view to display information about all the views contain a column! Must never be purged from the data dictionary deferred to indicate that the database for. Refresh can not be used to analyze materialized view refresh operation owner, mview_name, last_refresh_type, from. The DBMS_MVIEW_STATS.PURGE_REFRESH_STATS procedure to explicitly purge refresh statistics at the materialized view refresh..: example 9-13 Displaying basic statistics about materialized view level override the database-level settings critical long.

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