Shenyang Cai

Results 8 issues of Shenyang Cai

api: bigquery
size: l

This helps prevent unexpected large amount of data being processed by LLM

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api: bigquery
size: m

**Describe the bug** The `tuples` argument type of core.indexes.multi.MultiIndex.from_tuples might be `Iterables`, not `Sequence`. Comparison of the function signature in pandas-stub: https://github.com/pandas-dev/pandas-stubs/blob/e28bf601e96aea010b803d2984251b2b70dca1c7/pandas-stubs/core/indexes/multi.pyi#L49 and pandas: https://github.com/pandas-dev/pandas/blob/513e78760a8faee6723908ca23ea83dcabc5dd77/pandas/core/indexes/multi.py#L521 **To Reproduce** 1. Provide a...

If a table reference is fed to `read_gbq()` with dry_run set to True, we will use `SELECT * FROM {table_ref}` for dry run

api: bigquery
size: l

do not merge
api: bigquery
size: m

The basic logic is: * If the input is a query, dry run it * If the input is a table reference, convert it to a SQL (`"SELECT * FROM...

do not merge
api: bigquery
size: m

Fixes #460856043 🦕

do not merge
api: bigquery
size: m