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Backport #70103 to 24.8: Avoid reusing columns among different named tuples
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@ -36,6 +36,10 @@
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namespace DB
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{
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namespace Setting
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{
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extern const SettingsBool enable_named_columns_in_function_tuple;
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}
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namespace ErrorCodes
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{
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@ -178,6 +182,33 @@ public:
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break;
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}
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if (planner_context.getQueryContext()->getSettingsRef()[Setting::enable_named_columns_in_function_tuple])
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{
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/// Function "tuple" which generates named tuple should use argument aliases to construct its name.
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if (function_node.getFunctionName() == "tuple")
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{
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if (const DataTypeTuple * type_tuple = typeid_cast<const DataTypeTuple *>(function_node.getResultType().get()))
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{
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if (type_tuple->haveExplicitNames())
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{
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const auto & names = type_tuple->getElementNames();
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size_t size = names.size();
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WriteBufferFromOwnString s;
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s << "tuple(";
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for (size_t i = 0; i < size; ++i)
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{
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if (i != 0)
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s << ", ";
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s << backQuoteIfNeed(names[i]);
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}
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s << ")";
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result = s.str();
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break;
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}
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}
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}
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}
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String in_function_second_argument_node_name;
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if (isNameOfInFunction(function_node.getFunctionName()))
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@ -0,0 +1,3 @@
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1 ('dete','ok') ('dete','ok')
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{"id":1,"a":{"col_a":"dete","type":"ok"},"b":{"col_b":"dete","type":"ok"}}
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{"id":1,"a":{"col_a":"dete","type":"ok"},"b":{"col_b":"dete","type":"ok"}}
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@ -0,0 +1,22 @@
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SET enable_analyzer = 1;
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SET enable_named_columns_in_function_tuple = 1;
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DROP TABLE IF EXISTS src;
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DROP TABLE IF EXISTS dst;
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CREATE TABLE src (id UInt32, type String, data String) ENGINE=MergeTree ORDER BY tuple();
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CREATE TABLE dst (id UInt32, a Tuple (col_a Nullable(String), type String), b Tuple (col_b Nullable(String), type String)) ENGINE = MergeTree ORDER BY id;
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INSERT INTO src VALUES (1, 'ok', 'data');
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INSERT INTO dst (id, a, b) SELECT id, tuple(replaceAll(data, 'a', 'e') AS col_a, type) AS a, tuple(replaceAll(data, 'a', 'e') AS col_b, type) AS b FROM src;
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SELECT * FROM dst;
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DROP TABLE src;
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DROP TABLE dst;
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DROP TABLE IF EXISTS src;
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CREATE TABLE src (id UInt32, type String, data String) ENGINE=MergeTree ORDER BY tuple();
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INSERT INTO src VALUES (1, 'ok', 'data');
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SELECT id, tuple(replaceAll(data, 'a', 'e') AS col_a, type) AS a, tuple(replaceAll(data, 'a', 'e') AS col_b, type) AS b FROM cluster(test_cluster_two_shards, currentDatabase(), src) SETTINGS prefer_localhost_replica=0 FORMAT JSONEachRow;
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DROP TABLE src;
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