Time in days

views/obj_tables.sql

@@ -90,7 +90,7 @@ SELECT
         END AS wasted,
     --
     o.last_ddl_time,
-    t.last_analyzed,
+    TRUNC(SYSDATE) - TRUNC(t.last_analyzed) AS last_analyzed,  -- in days
     --
     c.comments
 FROM user_tables t
@@ -113,3 +113,48 @@ WHERE t.table_name      = NVL(x.table_name, t.table_name)
     AND t.table_name    NOT LIKE '%\__$' ESCAPE '\'
     AND m.mview_name    IS NULL;
 
+
+    --
+    --select * from all_tab_cols where column_name = 'AVG_COL_LEN';
+    --
+    -- AVG_ROW_LEN to Tables
+    -- CACHE (buffer_), BUFFER_POOL
+    --
+    -- SHOW PAGE FROM APEX WITH/for TABLE EDIT
+    --
+    -- grants?
+
+
+SELECT
+    t.table_name,
+    ROUND(t.blocks * 8, 2) AS fragmented_kb,
+    ROUND(t.num_rows * t.avg_row_len / 1024, 2) AS actual_kb,
+    CASE WHEN ROUND(t.blocks * 8, 2) > 0 THEN
+        ROUND(t.blocks * 8, 2) - ROUND(t.num_rows * t.avg_row_len / 1024, 2) END AS wasted_kb,
+    CASE WHEN ROUND(t.blocks * 8, 2) > 0 AND ROUND(t.num_rows * t.avg_row_len / 1024, 2) > 0 THEN
+        FLOOR((ROUND(t.blocks * 8, 2) - ROUND(t.num_rows * t.avg_row_len / 1024, 2)) / ROUND(t.blocks * 8, 2) * 100) END AS wasted_perc,
+    t.partitioned,
+    t.temporary,
+    t.iot_type,
+    t.row_movement,
+    i.idx_norm,
+    i.idx_func,
+    t.last_analyzed,
+    t.num_rows,
+    'SKRINK' AS action
+FROM user_tables t
+LEFT JOIN (
+    SELECT
+        i.table_name,
+        NULLIF(SUM(CASE WHEN i.index_type LIKE 'NORMAL'    THEN 1 ELSE 0 END), 0) AS idx_norm,
+        NULLIF(SUM(CASE WHEN i.index_type LIKE 'IOT%'      THEN 1 ELSE 0 END), 0) AS idx_iot,
+        NULLIF(SUM(CASE WHEN i.index_type LIKE 'FUNCTION%' THEN 1 ELSE 0 END), 0) AS idx_func
+    FROM user_indexes i
+    WHERE i.index_type NOT IN ('LOB')
+    GROUP BY i.table_name
+) i ON i.table_name = t.table_name
+WHERE t.blocks > 0
+    AND (t.table_name LIKE :P907_TABLE_LIKE || '%' OR :P907_TABLE_LIKE IS NULL)
+ORDER BY 1;
+
+