版本：0.266
ANALYZE table_name [ WITH ( property_name = expression [, ...] ) ]
用来收集表和列的统计信息。
对于列，只针对基本数据类型的列的统计信息。
with 子句用来指定一些针对 connector 的属性。查看所有的可用属性：
presto:default> SELECT * FROM system.metadata.analyze_properties;
catalog_name | property_name | default_value | type | description
--------------+---------------+---------------+-----------------------+---------------------------
hive | partitions | | array(array(varchar)) | Partitions to be analyzed
(1 row)
Query 20211211_122425_00006_tp69h, FINISHED, 1 node
Splits: 17 total, 17 done (100.00%)
0:02 [1 rows, 60B] [0 rows/s, 29B/s]
上述语句只能在 hive connector 中使用。
示例：
presto:default> select * from order_table_s;
order_id | product_name | price | deal_day
----------+--------------+-------+----------
1 | cellphone | 2000 | 201901
2 | tv | 3000 | 201901
3 | sofa | 8000 | 201901
4 | cabinet | 5000 | 201901
5 | bicycle | 1000 | 201901
6 | truck | 20000 | 201901
1 | apple | 10 | 201902
2 | banana | 8 | 201902
3 | milk | 70 | 201902
4 | liquor | 150 | 201902
(10 rows)
Query 20211211_103641_00004_tp69h, FINISHED, 2 nodes
Splits: 18 total, 18 done (100.00%)
0:12 [10 rows, 128B] [0 rows/s, 10B/s]
presto:default> analyze order_table_s;
ANALYZE: 10 rows
Query 20211211_103740_00005_tp69h, FINISHED, 2 nodes
Splits: 83 total, 83 done (100.00%)
0:06 [10 rows, 128B] [1 rows/s, 22B/s]
presto:default> analyze hive.default.order_table_s;
ANALYZE: 10 rows
Query 20211211_122822_00010_tp69h, FINISHED, 2 nodes
Splits: 83 total, 83 done (100.00%)
0:04 [10 rows, 128B] [2 rows/s, 34B/s]
presto:default> analyze hive.default.order_table_s with (partitions=array[array['201901'],array['201902']]);
ANALYZE: 10 rows
Query 20211211_123009_00011_tp69h, FINISHED, 2 nodes
Splits: 83 total, 83 done (100.00%)
0:03 [10 rows, 128B] [3 rows/s, 43B/s]
多个分区：
ANALYZE hive.default.customers WITH (partitions = ARRAY[ARRAY['CA', 'San Francisco'], ARRAY['NY', 'NY']]);
来自官网：https://prestodb.io/docs/0.266/sql/analyze.html