PGXC_STAT_TABLE_DIRTY

PGXC_STAT_TABLE_DIRTY displays statistics about all the tables on all the CNs and DNs in the current cluster, and the dirty page rate of tables on a single CN or DN. This view is supported only by clusters of version 8.1.3 or later.

The statistics of this view depend on the ANALYZE operation. To obtain the most accurate information, perform the ANALYZE operation on the table first.

**Table 1** PGXC_STAT_TABLE_DIRTY columns
Name	Type	Description
nodename	text	Node name
schema	name	Schema name of the table
tablename	name	Table name
partname	name	Partition name of the partitioned table
last_vacuum	timestampwith time zone	Time of the last manual VACUUM
last_autovacuum	timestampwith time zone	Time of the last AUTOVACUUM
last_analyze	timestampwith time zone	Time of the last manual ANALYZE
last_autoanalyze	timestampwith time zone	Time of the last AUTOANALYZE
vacuum_count	bigint	Number of times VACUUM operations
autovacuum_count	bigint	Number of AUTOVACUUM operations
analyze_count	bigint	Number of ANALYZE operations
autoanalyze_count	bigint	Number of AUTOANALYZE_COUNT operations
n_tup_ins	bigint	Number of rows inserted
n_tup_upd	bigint	Number of rows updated
n_tup_del	bigint	Number of rows deleted
n_tup_hot_upd	bigint	Number of rows updated by HOT (no separate index update is required)
n_tup_change	bigint	Number of changed rows after ANALYZE
n_live_tup	bigint	Estimated number of live rows
n_dead_tup	bigint	Estimated number of dead rows
dirty_rate	bigint	Dirty page rate of a single CN or DN
last_data_changed	timestampwith time zone	Time when a table was last modified

Suggestion

Before running VACUUM FULL on a system catalog with a high dirty page rate, ensure that no user is performing operations on it.
You are advised to run VACUUM FULL to tables (excluding system catalogs) whose dirty page rate exceeds 80% or run it based on service scenarios.

Scenarios

Query the overall dirty page rate of all the user tables in a database.

      
       
         
         
           select 
    t1.schema,
    t1.tablename,
    t1.total_ins,
    t1.total_upd,
    t1.total_del,
    t1. total_tup_hot_upd,
    t1.total_change,
    t1.total_live,
    t1.total_dead,
    t1.total_dirty_rate,
    t1.max_dirty,
    t2.max_node,
    t1.min_dirty,
    t2.min_node
from
    (select 
        a.schema,
        a.tablename,
        sum(a.n_tup_ins) as total_ins,
        sum(a.n_tup_upd) as total_upd,
        sum(a.n_tup_del) as total_del,
        sum(a.n_tup_hot_upd) as total_tup_hot_upd,
        sum(a.n_tup_change) as total_change,
        sum(a.n_live_tup) as total_live,
        sum(a.n_dead_tup) as total_dead,
        Round((total_dead / (total_dead + total_live + 0.0001) * 100),2) AS total_dirty_rate,
        max(a.dirty_rate) as max_dirty,
        min(a.dirty_rate) as min_dirty
    from pg_catalog.pgxc_stat_table_dirty a where a.partname is null and a.schema not in ('pg_toast','cstore','gs_logical_cluster','sys','dbms_om','information_schema','pg_catalog','dbms_output','dbms_random','utl_raw','utl_raw dbms_sql','dbms_lob') group by a.tablename, a.schema
    ) t1,
    (select distinct
    tablename, schema, 
    first_value(nodename) over(partition by tablename, schema order by dirty_rate) as min_node,
    first_value(nodename) over(partition by tablename, schema order by dirty_rate desc) as max_node
    from (select * from pg_catalog.pgxc_stat_table_dirty)) t2
where t1.tablename = t2.tablename and t1.schema = t2.schema;

          

        

      
     

Query the overall dirty page rate of all the tables (user tables and system catalogs) in a database.

      
       
         
         
           select 
    t1.schema,
    t1.tablename,
    t1.total_ins,
    t1.total_upd,
    t1.total_del,
    t1. total_tup_hot_upd,
    t1.total_change,
    t1.total_live,
    t1.total_dead,
    t1.total_dirty_rate,
    t1.max_dirty,
    t2.max_node,
    t1.min_dirty,
    t2.min_node
from
    (select 
        a.schema,
        a.tablename,
        sum(a.n_tup_ins) as total_ins,
        sum(a.n_tup_upd) as total_upd,
        sum(a.n_tup_del) as total_del,
        sum(a.n_tup_hot_upd) as total_tup_hot_upd, 
        sum(a.n_tup_change) as total_change,
        sum(a.n_live_tup) as total_live,
        sum(a.n_dead_tup) as total_dead,
        Round((total_dead / (total_dead + total_live + 0.0001) * 100),2) AS total_dirty_rate,
        max(a.dirty_rate) as max_dirty,
        min(a.dirty_rate) as min_dirty
    from pg_catalog.pgxc_stat_table_dirty a where a.partname is null group by a.tablename, a.schema
    ) t1,
    (select distinct
    tablename, schema, 
    first_value(nodename) over(partition by tablename, schema order by dirty_rate) as min_node,
    first_value(nodename) over(partition by tablename, schema order by dirty_rate desc) as max_node
    from (select * from pg_catalog.pgxc_stat_table_dirty)) t2
where t1.tablename = t2.tablename and t1.schema = t2.schema;

          

        

      
     

Query all system catalogs in a database.

      
           select * from pgxc_stat_table_dirty where schema in ('pg_toast','cstore','gs_logical_cluster','sys','dbms_om','information_schema','pg_catalog','dbms_output','dbms_random','utl_raw','utl_raw dbms_sql','dbms_lob');