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bb50514a00
* Update test data for `tests.integration.trino` This is to create tables with complex data types. Using raw SQL because creating tables with pandas didn't get the right types for the structs * Update tests to reproduce the issue Also included the new tables in the other tests to make sure complex data types do not break anything else Reference: [issue 16983](https://github.com/open-metadata/OpenMetadata/issues/16983) * Added `TypeDecorator`s handle `trino.types.NamedRowTuple` This is because pydantic couldn't figure out how to create python objects when receiving `NamedRowTuple`s, which broke the sampling process. This makes sure the data we receive from the trino interface is compatible with Pydantic
27 lines
492 B
SQL
27 lines
492 B
SQL
CREATE TABLE IF NOT EXISTS {catalog}.{schema}.{table_name} (
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payload ROW(
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foobar VARCHAR,
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foobaz DOUBLE,
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foos ARRAY(ROW(bars VARCHAR))
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),
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foobars ARRAY(VARCHAR)
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);
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INSERT INTO {catalog}.{schema}.{table_name} VALUES
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(
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ROW(
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'test_value',
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123.45,
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ARRAY[ROW('bar1'), ROW('bar2')]
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),
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ARRAY['foo1', 'foo2', 'foo3']
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),
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(
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ROW(
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'another_value',
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678.90,
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ARRAY[ROW('bar3')]
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),
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ARRAY['foo4']
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);
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