Query used to create the table:

CREATE TABLE default.ntest2(job_name String, list_data Array(Tuple(s UInt64, e UInt64, name String))) ENGINE = MergeTree ORDER BY (job_name) SETTINGS index_granularity = 8192;

Table Data:

Expected Output:

How can I achieve this with less query time?

CodePudding user response：

ARRAY JOIN https://clickhouse.com/docs/en/sql-reference/statements/select/array-join/

SELECT
    job_name,
    `list_data.s`,
    `list_data.e`,
    `list_data.name`
FROM
(
    SELECT
        c1 AS job_name,
        c2 AS list_data
    FROM values(('job1', ([19, 22], [38, 92], ['test1', 'test2'])), ('job2', ([28, 63], [49, 87], ['test3', 'test4'])))
) AS T
ARRAY JOIN
    list_data.1 AS `list_data.s`,
    list_data.2 AS `list_data.e`,
    list_data.3 AS `list_data.name`

┌─job_name─┬─list_data.s─┬─list_data.e─┬─list_data.name─┐
│ job1     │          19 │          38 │ test1          │
│ job1     │          22 │          92 │ test2          │
│ job2     │          28 │          49 │ test3          │
│ job2     │          63 │          87 │ test4          │
└──────────┴─────────────┴─────────────┴────────────────┘

SELECT
    job_name,
    list_data.s,
    list_data.e,
    list_data.name
FROM
(
    SELECT
        c1 AS job_name,
        c2 AS `list_data.s`,
        c3 AS `list_data.e`,
        c4 AS `list_data.name`
    FROM values(('job1', [19, 22], [38, 92], ['test1', 'test2']), ('job2', [28, 63], [49, 87], ['test3', 'test4']))
) AS T
ARRAY JOIN
    `list_data.s` AS `list_data.s`,
    `list_data.e` AS `list_data.e`,
    `list_data.name` AS `list_data.name`

┌─job_name─┬─list_data.s─┬─list_data.e─┬─list_data.name─┐
│ job1     │          19 │          38 │ test1          │
│ job1     │          22 │          92 │ test2          │
│ job2     │          28 │          49 │ test3          │
│ job2     │          63 │          87 │ test4          │
└──────────┴─────────────┴─────────────┴────────────────┘