是否有声明断言计数范围?
这里是一个例子:我要确保记录总数为3。
断言从第一个偏移量到最后一个偏移量的计数== 3
或断言键/值出现的次数是== 3
回复
SQL> create table ora_table (id number, time_data timestamp, status varchar2(30));
Table created.
SQL> insert into ora_table values (1 , to_timestamp('2019-10-20 12:34:56.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (1 , to_timestamp('2019-10-22 12:34:56.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (2 , to_timestamp('2019-10-20 17:34:56.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (2 , to_timestamp('2019-10-21 12:34:56.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (3 , to_timestamp('2019-10-23 18:10:10.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'mod_in_ip');
1 row created.
SQL> insert into ora_table values (3 , to_timestamp('2019-10-24 11:10:10.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (3 , to_timestamp('2019-10-24 12:10:10.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (4 , to_timestamp('2019-10-25 12:10:10.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL> insert into ora_table values (4 , to_timestamp('2019-10-25 18:10:10.000', 'yyyy-mm-dd hh24:mi:ss.ff'), 'approved');
1 row created.
SQL>
SQL> select id, time_data, trunc(time_data) true_date, trunc(time_data+7/24) mapped_date
2 from ora_table;
ID TIME_DATA TRUE_DATE MAPPED_DA
---------- ---------------------------------- --------- ---------
1 20-OCT-19 12.34.56.000000 PM 20-OCT-19 20-OCT-19
1 22-OCT-19 12.34.56.000000 PM 22-OCT-19 22-OCT-19
2 20-OCT-19 05.34.56.000000 PM 20-OCT-19 21-OCT-19 <===
2 21-OCT-19 12.34.56.000000 PM 21-OCT-19 21-OCT-19
3 23-OCT-19 06.10.10.000000 PM 23-OCT-19 24-OCT-19 <===
3 24-OCT-19 11.10.10.000000 AM 24-OCT-19 24-OCT-19
3 24-OCT-19 12.10.10.000000 PM 24-OCT-19 24-OCT-19
4 25-OCT-19 12.10.10.000000 PM 25-OCT-19 25-OCT-19
4 25-OCT-19 06.10.10.000000 PM 25-OCT-19 26-OCT-19
9 rows selected.
我在下面尝试过,但是断言失败。
[[key:S1BJTzE=, offset:1416, partition:0, topic:Item, value:eyJvcGVyYXRpb2], [key:S1BJTzE=, offset:1417, partition:0, topic:Item, value:eyJvcGVyYXRpb2],
[key:S1BJTzE=, offset:1418, partition:0, topic:Item, value:eyJvcGVyYXRpb2]]
答案 0 :(得分:0)
assert test.size()==3
由@daggett提供
答案 1 :(得分:0)
直接方法:
String resp = '[[key:S1BJTzE=, offset:1416, partition:0, topic:Item, value:eyJvcGVyYXRpb2], [key:S1BJTzE=, offset:1417, partition:0, topic:Item, value:eyJvcGVyYXRpb2], [key:S1BJTzE=, offset:1418, partition:0, topic:Item, value:eyJvcGVyYXRpb2]]'
assert 3 == resp.count( 'value:' )