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Update arrow requirement from 29 to 30 (#113)
* Update arrow requirement from 29 to 30 Updates the requirements on [arrow](https://github.com/apache/arrow-rs) to permit the latest version. - [Release notes](https://github.com/apache/arrow-rs/releases) - [Changelog](https://github.com/apache/arrow-rs/blob/master/CHANGELOG.md) - [Commits](apache/arrow-rs@29.0.0...30.0.0) --- updated-dependencies: - dependency-name: arrow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * fix clippy error Change-Id: Id536a69d237985e6fa3fc214f1c19200f68823e4 Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: wangfenjin <[email protected]>
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Cargo.toml

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@@ -47,7 +47,7 @@ memchr = "2.3"
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uuid = { version = "1.0", optional = true }
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smallvec = "1.6.1"
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cast = { version = "0.3", features = ["std"] }
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arrow = { version = "29", default-features = false, features = ["prettyprint", "ffi"] }
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arrow = { version = "30", default-features = false, features = ["prettyprint", "ffi"] }
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rust_decimal = "1.14"
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strum = { version = "0.24", features = ["derive"] }
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r2d2 = { version = "0.8.9", optional = true }

libduckdb-sys/Cargo.toml

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@@ -28,4 +28,4 @@ cc = { version = "1.0", features = ["parallel"], optional = true }
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vcpkg = { version = "0.2", optional = true }
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[dev-dependencies]
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arrow = { version = "29", default-features = false, features = ["ffi"] }
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arrow = { version = "30", default-features = false, features = ["ffi"] }

src/row.rs

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@@ -304,7 +304,7 @@ impl<'stmt> Row<'stmt> {
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Error::InvalidColumnType(idx, self.stmt.column_name_unwrap(idx).into(), value.data_type())
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}
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FromSqlError::OutOfRange(i) => Error::IntegralValueOutOfRange(idx, i),
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FromSqlError::Other(err) => Error::FromSqlConversionFailure(idx as usize, value.data_type(), err),
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FromSqlError::Other(err) => Error::FromSqlConversionFailure(idx, value.data_type(), err),
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#[cfg(feature = "uuid")]
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FromSqlError::InvalidUuidSize(_) => {
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Error::InvalidColumnType(idx, self.stmt.column_name_unwrap(idx).into(), value.data_type())

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