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feat: Alternative table provider as spark data source #110
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Introduce datafusion-scan-ffi: a cdylib exposing a DataFusion TableProvider scan through extern "C" entrypoints that speak only C primitives and the standard Arrow C Data/Stream interface (ArrowSchema/ArrowArrayStream). No JVM/JNI dependency, so the surface is consumable from Java (via a thin shim or FFM), Python, Go, or Rust, and is a candidate to live closer to DataFusion proper. This is the JNI-free reshaping of PR #103's scan logic per review feedback on PR #104: providers are compiled in and registered by name (approach A), filters cross as datafusion.LogicalExprNode protobufs (shared vocabulary with datafusion-ffi/Comet), and each scanned partition is handed back as a zero-copy FFI_ArrowArrayStream. - abi.rs: df_scan_{schema,create,partition_count,execute_partition, execute,close}, df_error_free, df_scan_abi_version - scan.rs: build -> register -> project -> filter -> plan core - registry.rs: name-keyed provider builders - reader.rs: SendableRecordBatchStream -> panic-safe RecordBatchReader - include/datafusion_scan.h: the C header - tests/roundtrip.rs: drives the ABI and re-imports the stream via the Arrow C Stream interface, no JVM involved (6 tests) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| # Licensed to the Apache Software Foundation (ASF) under one | ||
| # or more contributor license agreements. See the NOTICE file | ||
| # distributed with this work for additional information | ||
| # regarding copyright ownership. The ASF licenses this file | ||
| # to you under the Apache License, Version 2.0 (the | ||
| # "License"); you may not use this file except in compliance | ||
| # with the License. You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, | ||
| # software distributed under the License is distributed on an | ||
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| # KIND, either express or implied. See the License for the | ||
| # specific language governing permissions and limitations | ||
| # under the License. | ||
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| [package] | ||
| name = "datafusion-scan-ffi" | ||
| version.workspace = true | ||
| edition.workspace = true | ||
| license.workspace = true | ||
| repository.workspace = true | ||
| # Not published yet; this is the in-tree home of the plain-C scan ABI while it | ||
| # stabilizes. The intent is for this surface to eventually live in DataFusion | ||
| # proper (it has no JVM/JNI dependency), so keep it free of anything | ||
| # Java-specific. | ||
| publish = false | ||
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| [lib] | ||
| # `cdylib` -> the shippable plain-C shared library (`libdatafusion_scan_ffi`). | ||
| # `rlib` -> lets a downstream cdylib statically link this crate, register | ||
| # its own providers, and re-export the `df_scan_*` symbols; also | ||
| # gives `cargo test` a Rust harness that round-trips the ABI with | ||
| # no JVM in sight. | ||
| crate-type = ["cdylib", "rlib"] | ||
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| [features] | ||
| # A built-in in-memory provider builder registered under `datafusion.memory`, | ||
| # used by the round-trip tests and handy as a reference builder. Off by default | ||
| # so a production cdylib only carries the providers it registers itself. | ||
| demo-providers = [] | ||
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| [dependencies] | ||
| # The arrow C Data / C Stream interface types are the entire data plane of this | ||
| # ABI. `ffi` pulls in both `arrow::ffi` (FFI_ArrowSchema/Array) and | ||
| # `arrow::ffi_stream` (FFI_ArrowArrayStream). Same crate+version DataFusion | ||
| # links, so the types unify. | ||
| arrow = { workspace = true } | ||
| datafusion = { workspace = true } | ||
| # Pushed filters arrive as serialized `datafusion.LogicalExprNode` protobufs -- | ||
| # the same vocabulary `datafusion-ffi` already uses, so the encoder is shared | ||
| # with any future Comet path. | ||
| datafusion-proto = { workspace = true } | ||
| futures = { workspace = true } | ||
| prost = { workspace = true } | ||
| tokio = { workspace = true } | ||
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| [dev-dependencies] | ||
| # Round-trip tests import the produced FFI_ArrowArrayStream back into Rust via | ||
| # the same C Stream interface a Java/Python/Go consumer would use. | ||
| datafusion-scan-ffi = { path = ".", features = ["demo-providers"] } |
| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,115 @@ | ||
| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
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| // Plain-C scan ABI over the Arrow C Data / C Stream interface. | ||
| // | ||
| // The only "rich" types crossing this boundary are the standard Arrow C | ||
| // structs `ArrowSchema` and `ArrowArrayStream` (from Arrow's abi.h), which any | ||
| // Arrow implementation can produce/consume. Everything else is C primitives | ||
| // and borrowed (ptr, len) views. No JVM/JNI types appear here, by design. | ||
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| #ifndef DATAFUSION_SCAN_H | ||
| #define DATAFUSION_SCAN_H | ||
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| #include <stddef.h> | ||
| #include <stdint.h> | ||
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| #include "arrow/c/abi.h" // struct ArrowSchema, struct ArrowArrayStream | ||
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| #ifdef __cplusplus | ||
| extern "C" { | ||
| #endif | ||
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| // --- Status codes ---------------------------------------------------------- | ||
| // 0 on success; nonzero classifies the failure. On error the call also writes | ||
| // a malloc'd, NUL-terminated message to *out_err (free with df_error_free). | ||
| typedef enum { | ||
| DF_OK = 0, | ||
| DF_INVALID_ARGUMENT = 1, | ||
| DF_UNKNOWN_PROVIDER = 2, | ||
| DF_PROVIDER_BUILD = 3, | ||
| DF_PLANNING = 4, | ||
| DF_EXECUTION = 5, | ||
| DF_PANIC = 6, | ||
| DF_INTERNAL = 7 | ||
| } DfStatus; | ||
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| // --- Borrowed input views (caller owns the memory) ------------------------- | ||
| typedef struct { | ||
| const uint8_t* ptr; // UTF-8, not NUL-terminated; may be null if len == 0 | ||
| size_t len; | ||
| } DfStr; | ||
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| typedef struct { | ||
| const uint8_t* ptr; // may be null if len == 0 | ||
| size_t len; | ||
| } DfBytes; | ||
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| typedef struct { | ||
| DfStr key; | ||
| DfStr value; | ||
| } DfKeyValue; | ||
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| // Opaque planned-scan handle. | ||
| typedef struct DfScanHandle DfScanHandle; | ||
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| // --- Lifecycle / versioning ------------------------------------------------ | ||
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| // ABI major version; compare before any other call. | ||
| uint64_t df_scan_abi_version(void); | ||
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| // Free a message previously written to an out_err argument (null-safe). | ||
| void df_error_free(char* err); | ||
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| // --- Scan API -------------------------------------------------------------- | ||
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| // Probe a provider's output schema into the caller-allocated out_schema. | ||
| int32_t df_scan_schema(DfStr provider, DfBytes options, DfBytes partition, | ||
| struct ArrowSchema* out_schema, char** out_err); | ||
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| // Plan a scan. On success writes an owned handle to *out_handle (release with | ||
| // df_scan_close). projection is an array of column-name DfStr (empty = all); | ||
| // filters is an array of serialized datafusion.LogicalExprNode DfBytes; | ||
| // target_partitions / batch_size <= 0 keep DataFusion defaults. | ||
| int32_t df_scan_create(DfStr provider, DfBytes options, DfBytes partition, | ||
| int32_t target_partitions, int32_t batch_size, | ||
| const DfKeyValue* config_overrides, size_t config_overrides_len, | ||
| const DfStr* projection, size_t projection_len, | ||
| const DfBytes* filters, size_t filters_len, | ||
| DfScanHandle** out_handle, char** out_err); | ||
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| // Output partition count of the planned scan. | ||
| int32_t df_scan_partition_count(const DfScanHandle* handle, int32_t* out_count, | ||
| char** out_err); | ||
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| // Execute one partition into the caller-allocated Arrow C Stream. | ||
| int32_t df_scan_execute_partition(const DfScanHandle* handle, int32_t partition, | ||
| struct ArrowArrayStream* out_stream, char** out_err); | ||
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| // Execute the whole plan as a single coalesced Arrow C Stream. | ||
| int32_t df_scan_execute(const DfScanHandle* handle, | ||
| struct ArrowArrayStream* out_stream, char** out_err); | ||
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| // Drop a planned scan (null-safe). Must not race an in-flight execute on the | ||
| // same handle. | ||
| void df_scan_close(DfScanHandle* handle); | ||
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| #ifdef __cplusplus | ||
| } // extern "C" | ||
| #endif | ||
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| #endif // DATAFUSION_SCAN_H | ||
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I think you can do this without the C symbols (just structs, like the Arrow C Data/Stream interfaces). The reason that's nice is that symbols can be hard to guarantee uniqueness (what if you have two Rust crates that want to export table provider and they're statically linked in the same pile of crates?). This is roughly how datafusion-python works with the generated FFI from datafusion-ffi.
For Spark, a TableProvider exporter could define an entrypoint and build a cdylib. The entrypoint would have to have a common signature (like how
AdbcInitFuncworks)....but Python packages that export one of these could just work with capsules.