CopyOnWriteSpec:
A copy-on-write table
- should create no new files for copy-on-write
+ Given SQL:
CREATE TABLE polaris.my_namespace.CopyOnWriteSpec (
id int,
label String,
partitionKey long,
date Date,
timestamp Timestamp
) USING iceberg TBLPROPERTIES (
'format-version' = '2',
'write.delete.mode' = 'copy-on-write',
'write.update.mode' = 'copy-on-write',
'sort-order' = 'partitionKey ASC NULLS FIRST',
'write.merge.mode' = 'copy-on-write'
) PARTITIONED BY (partitionKey);
+ When we execute it
+ Then there is an Iceberg table, polaris.my_namespace.CopyOnWriteSpec
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
- should insert creates new files for copy-on-write
+ Given SQL:
INSERT INTO
TABLE polaris.my_namespace.CopyOnWriteSpec (id, label, partitionKey, date, timestamp)
VALUES
(
0,
'label_0',
0,
cast(date_format('2024-11-15', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:19.792',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
1,
'label_1',
1,
cast(date_format('2024-11-14', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:19.992',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
2,
'label_2',
2,
cast(date_format('2024-11-13', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:20.192',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
3,
'label_3',
3,
cast(date_format('2024-11-12', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:20.392',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
4,
'label_4',
4,
cast(date_format('2024-11-11', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:20.592',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
5,
'label_5',
0,
cast(date_format('2024-11-10', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:20.792',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
6,
'label_6',
1,
cast(date_format('2024-11-09', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:20.992',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
7,
'label_7',
2,
cast(date_format('2024-11-08', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:21.192',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
8,
'label_8',
3,
cast(date_format('2024-11-07', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:21.392',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
9,
'label_9',
4,
cast(date_format('2024-11-06', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:21.592',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
10,
'label_10',
0,
cast(date_format('2024-11-05', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:21.792',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
11,
'label_11',
1,
cast(date_format('2024-11-04', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:21.992',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
12,
'label_12',
2,
cast(date_format('2024-11-03', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:22.192',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
13,
'label_13',
3,
cast(date_format('2024-11-02', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:22.392',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
14,
'label_14',
4,
cast(date_format('2024-11-01', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:22.592',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
15,
'label_15',
0,
cast(date_format('2024-10-31', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:22.792',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
16,
'label_16',
1,
cast(date_format('2024-10-30', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:22.992',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
17,
'label_17',
2,
cast(date_format('2024-10-29', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:23.192',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
18,
'label_18',
3,
cast(date_format('2024-10-28', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:23.392',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
),
(
19,
'label_19',
4,
cast(date_format('2024-10-27', 'yyyy-MM-dd') as date),
cast(
date_format(
'2024-11-15 16:48:23.592',
'yyyy-MM-dd HH:mm:ss.SSS'
) as timestamp
)
)
+ When we execute it
+ Then there are now 5 data files:
/partitionKey=0/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00001.parquet
/partitionKey=1/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00002.parquet
/partitionKey=2/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00004.parquet
/partitionKey=3/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00003.parquet
/partitionKey=4/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00005.parquet
+ And the table contains:
Datum(0,label_0,0,2024-11-15,2024-11-15 16:48:19.792)
Datum(1,label_1,1,2024-11-14,2024-11-15 16:48:19.992)
Datum(2,label_2,2,2024-11-13,2024-11-15 16:48:20.192)
Datum(3,label_3,3,2024-11-12,2024-11-15 16:48:20.392)
Datum(4,label_4,4,2024-11-11,2024-11-15 16:48:20.592)
Datum(5,label_5,0,2024-11-10,2024-11-15 16:48:20.792)
Datum(6,label_6,1,2024-11-09,2024-11-15 16:48:20.992)
Datum(7,label_7,2,2024-11-08,2024-11-15 16:48:21.192)
Datum(8,label_8,3,2024-11-07,2024-11-15 16:48:21.392)
Datum(9,label_9,4,2024-11-06,2024-11-15 16:48:21.592)
Datum(10,label_10,0,2024-11-05,2024-11-15 16:48:21.792)
Datum(11,label_11,1,2024-11-04,2024-11-15 16:48:21.992)
Datum(12,label_12,2,2024-11-03,2024-11-15 16:48:22.192)
Datum(13,label_13,3,2024-11-02,2024-11-15 16:48:22.392)
Datum(14,label_14,4,2024-11-01,2024-11-15 16:48:22.592)
Datum(15,label_15,0,2024-10-31,2024-11-15 16:48:22.792)
Datum(16,label_16,1,2024-10-30,2024-11-15 16:48:22.992)
Datum(17,label_17,2,2024-10-29,2024-11-15 16:48:23.192)
Datum(18,label_18,3,2024-10-28,2024-11-15 16:48:23.392)
Datum(19,label_19,4,2024-10-27,2024-11-15 16:48:23.592)
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
- should update creates no new files for copy-on-write
+ Given SQL:
UPDATE
polaris.my_namespace.CopyOnWriteSpec
SET
label = 'label_1X'
WHERE
id = 1
+ When we execute it
+ Then there are now 6 data files:
/partitionKey=0/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00001.parquet
/partitionKey=1/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00002.parquet
/partitionKey=1/00000-758-d84ebc3d-aa76-4559-b286-7ea73a68aaff-0-00001.parquet
/partitionKey=2/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00004.parquet
/partitionKey=3/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00003.parquet
/partitionKey=4/00000-752-ca550831-7816-4d78-b8dd-57300540ebe1-0-00005.parquet
+ And the table contains:
Datum(0,label_0,0,2024-11-15,2024-11-15 16:48:19.792)
Datum(1,label_1X,1,2024-11-14,2024-11-15 16:48:19.992)
Datum(2,label_2,2,2024-11-13,2024-11-15 16:48:20.192)
Datum(3,label_3,3,2024-11-12,2024-11-15 16:48:20.392)
Datum(4,label_4,4,2024-11-11,2024-11-15 16:48:20.592)
Datum(5,label_5,0,2024-11-10,2024-11-15 16:48:20.792)
Datum(6,label_6,1,2024-11-09,2024-11-15 16:48:20.992)
Datum(7,label_7,2,2024-11-08,2024-11-15 16:48:21.192)
Datum(8,label_8,3,2024-11-07,2024-11-15 16:48:21.392)
Datum(9,label_9,4,2024-11-06,2024-11-15 16:48:21.592)
Datum(10,label_10,0,2024-11-05,2024-11-15 16:48:21.792)
Datum(11,label_11,1,2024-11-04,2024-11-15 16:48:21.992)
Datum(12,label_12,2,2024-11-03,2024-11-15 16:48:22.192)
Datum(13,label_13,3,2024-11-02,2024-11-15 16:48:22.392)
Datum(14,label_14,4,2024-11-01,2024-11-15 16:48:22.592)
Datum(15,label_15,0,2024-10-31,2024-11-15 16:48:22.792)
Datum(16,label_16,1,2024-10-30,2024-11-15 16:48:22.992)
Datum(17,label_17,2,2024-10-29,2024-11-15 16:48:23.192)
Datum(18,label_18,3,2024-10-28,2024-11-15 16:48:23.392)
Datum(19,label_19,4,2024-10-27,2024-11-15 16:48:23.592)
+ And the new data file contains just the updated row(s)
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
- should reading an updated table using copy-on-write
+ Given a table that has been updated
+ When we read from it
+ Then the table still contains 20 records
+ And there are no new data files
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +