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| "FLOAT64": types.Float, | ||
| "INT64": types.BIGINT, | ||
| "NUMERIC": types.DECIMAL, | ||
| "NUMERIC": types.NUMERIC(precision=38, scale=9), |
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Constant precision and scale
| size = int(col[1][7:end]) | ||
| type_ = _type_map["STRING"](length=size) | ||
| else: | ||
| type_ = _type_map[col[1]] |
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While reflecting column types, we're reading strings like STRING(size) from information_schema. Such a string can be parsed to get the column size - to set it into SQLAlchemy reflected type.
@larkee, I assume, something similar is required for BYTES (you mentioned their MAX size in the dialect), so I'm looking forward for BYTES types test.
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@larkee, as this PR is based on #32 and 32 is based on #24, the branch includes all the changes of my last three PRs. With all of this I have only three reflection tests failing. Most of the skipped tests are related to the named schemas feature, so they are going to stay skipped. Thus, we're almost there with reflection I suppose.
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@larkee, here I'm also adding
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This PR is based on #32.