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73 lines
2.4 KiB
SQL
73 lines
2.4 KiB
SQL
-- Tags: no-s3-storage, no-random-merge-tree-settings
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-- no-s3 because read FileOpen metric
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DROP TABLE IF EXISTS nested;
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SET flatten_nested = 0;
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SET use_uncompressed_cache = 0;
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SET local_filesystem_read_method='pread';
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CREATE TABLE nested
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(
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col1 Nested(a UInt32, s String),
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col2 Nested(a UInt32, n Nested(s String, b UInt32)),
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col3 Nested(n1 Nested(a UInt32, b UInt32), n2 Nested(s String, t String))
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)
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ENGINE = MergeTree
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ORDER BY tuple()
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SETTINGS min_bytes_for_wide_part = 0;
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INSERT INTO nested VALUES ([(1, 'q'), (2, 'w'), (3, 'e')], [(4, [('a', 5), ('s', 6), ('d', 7)])], [([(8, 9), (10, 11)], [('z', 'x'), ('c', 'v')])]);
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INSERT INTO nested VALUES ([(12, 'qq')], [(4, []), (5, [('b', 6), ('n', 7)])], [([], []), ([(44, 55), (66, 77)], [])]);
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OPTIMIZE TABLE nested FINAL;
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SELECT 'all';
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SELECT * FROM nested;
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SELECT 'col1';
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SELECT col1.a, col1.s FROM nested;
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SELECT 'col2';
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SELECT col2.a, col2.n, col2.n.s, col2.n.b FROM nested;
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SELECT 'col3';
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SELECT col3.n1, col3.n2, col3.n1.a, col3.n1.b, col3.n2.s, col3.n2.t FROM nested;
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SELECT 'read files';
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SYSTEM DROP MARK CACHE;
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SELECT col1.a FROM nested FORMAT Null;
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-- 4 files: (col1.size0, col1.a) x2
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SYSTEM FLUSH LOGS;
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SELECT ProfileEvents['FileOpen']
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FROM system.query_log
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WHERE (type = 'QueryFinish') AND (lower(query) LIKE lower('SELECT col1.a FROM %nested%'))
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AND event_date >= yesterday() AND current_database = currentDatabase();
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SYSTEM DROP MARK CACHE;
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SELECT col3.n2.s FROM nested FORMAT Null;
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-- 6 files: (col3.size0, col3.n2.size1, col3.n2.s) x2
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SYSTEM FLUSH LOGS;
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SELECT ProfileEvents['FileOpen']
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FROM system.query_log
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WHERE (type = 'QueryFinish') AND (lower(query) LIKE lower('SELECT col3.n2.s FROM %nested%'))
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AND event_date >= yesterday() AND current_database = currentDatabase();
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DROP TABLE nested;
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CREATE TABLE nested
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(
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id UInt32,
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col1 Nested(a UInt32, n Nested(s String, b UInt32))
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)
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ENGINE = MergeTree
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ORDER BY id
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SETTINGS min_bytes_for_wide_part = 0;
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INSERT INTO nested SELECT number, arrayMap(x -> (x, arrayMap(y -> (toString(y * x), y + x), range(number % 17))), range(number % 19)) FROM numbers(100000);
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SELECT id % 10, sum(length(col1)), sumArray(arrayMap(x -> length(x), col1.n.b)) FROM nested GROUP BY id % 10;
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SELECT arraySum(col1.a), arrayMap(x -> x * x * 2, col1.a) FROM nested ORDER BY id LIMIT 5;
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SELECT untuple(arrayJoin(arrayJoin(col1.n))) FROM nested ORDER BY id LIMIT 10 OFFSET 10;
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DROP TABLE nested;
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