| # 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. |
| |
| """The ``$file_key_ranges`` system table.""" |
| |
| from typing import List |
| |
| import pyarrow |
| |
| from pypaimon.manifest.manifest_file_manager import ManifestFileManager |
| from pypaimon.manifest.manifest_list_manager import ManifestListManager |
| from pypaimon.schema.data_types import AtomicType, DataField, RowType |
| from pypaimon.table.system.files_table import ( |
| _render_key, |
| _render_partition, |
| _stringify_path, |
| ) |
| from pypaimon.table.system.system_table import SystemTable |
| |
| |
| TABLE_TYPE = RowType(False, [ |
| DataField(0, "partition", AtomicType("STRING", nullable=True)), |
| DataField(1, "bucket", AtomicType("INT", nullable=False)), |
| DataField(2, "file_path", AtomicType("STRING", nullable=False)), |
| DataField(3, "file_format", AtomicType("STRING", nullable=False)), |
| DataField(4, "schema_id", AtomicType("BIGINT", nullable=False)), |
| DataField(5, "level", AtomicType("INT", nullable=False)), |
| DataField(6, "record_count", AtomicType("BIGINT", nullable=False)), |
| DataField(7, "file_size_in_bytes", AtomicType("BIGINT", nullable=False)), |
| DataField(8, "min_key", AtomicType("STRING", nullable=True)), |
| DataField(9, "max_key", AtomicType("STRING", nullable=True)), |
| DataField(10, "first_row_id", AtomicType("BIGINT", nullable=True)), |
| ]) |
| |
| |
| class FileKeyRangesTable(SystemTable): |
| """The ``$file_key_ranges`` system table.""" |
| |
| def system_table_name(self) -> str: |
| return "file_key_ranges" |
| |
| def row_type(self) -> RowType: |
| return TABLE_TYPE |
| |
| def primary_keys(self) -> List[str]: |
| return ["file_path"] |
| |
| def _build_arrow_table(self) -> pyarrow.Table: |
| snapshot = self.base_table.snapshot_manager().get_latest_snapshot() |
| if snapshot is None: |
| return _empty_table() |
| |
| manifest_list_manager = ManifestListManager(self.base_table) |
| manifest_files = manifest_list_manager.read_all(snapshot) |
| manifest_file_manager = ManifestFileManager(self.base_table) |
| entries = manifest_file_manager.read_entries_parallel( |
| manifest_files, drop_stats=False) |
| |
| file_format = self.base_table.options.file_format() |
| path_factory = self.base_table.path_factory() |
| rows = { |
| "partition": [], |
| "bucket": [], |
| "file_path": [], |
| "file_format": [], |
| "schema_id": [], |
| "level": [], |
| "record_count": [], |
| "file_size_in_bytes": [], |
| "min_key": [], |
| "max_key": [], |
| "first_row_id": [], |
| } |
| |
| for entry in entries: |
| meta = entry.file |
| bucket_path = path_factory.bucket_path( |
| tuple(entry.partition.values), int(entry.bucket)) |
| rows["partition"].append(_render_partition(entry.partition)) |
| rows["bucket"].append(int(entry.bucket)) |
| rows["file_path"].append(_stringify_path( |
| meta.external_path |
| or meta.file_path |
| or "%s/%s" % (bucket_path, meta.file_name))) |
| rows["file_format"].append(file_format) |
| rows["schema_id"].append(int(meta.schema_id)) |
| rows["level"].append(int(meta.level)) |
| rows["record_count"].append(int(meta.row_count)) |
| rows["file_size_in_bytes"].append(int(meta.file_size)) |
| rows["min_key"].append(_render_key(meta.min_key)) |
| rows["max_key"].append(_render_key(meta.max_key)) |
| rows["first_row_id"].append( |
| None if meta.first_row_id is None |
| else int(meta.first_row_id)) |
| |
| return pyarrow.table({ |
| "partition": pyarrow.array( |
| rows["partition"], type=pyarrow.string()), |
| "bucket": pyarrow.array(rows["bucket"], type=pyarrow.int32()), |
| "file_path": pyarrow.array( |
| rows["file_path"], type=pyarrow.string()), |
| "file_format": pyarrow.array( |
| rows["file_format"], type=pyarrow.string()), |
| "schema_id": pyarrow.array( |
| rows["schema_id"], type=pyarrow.int64()), |
| "level": pyarrow.array(rows["level"], type=pyarrow.int32()), |
| "record_count": pyarrow.array( |
| rows["record_count"], type=pyarrow.int64()), |
| "file_size_in_bytes": pyarrow.array( |
| rows["file_size_in_bytes"], type=pyarrow.int64()), |
| "min_key": pyarrow.array(rows["min_key"], type=pyarrow.string()), |
| "max_key": pyarrow.array(rows["max_key"], type=pyarrow.string()), |
| "first_row_id": pyarrow.array( |
| rows["first_row_id"], type=pyarrow.int64()), |
| }) |
| |
| |
| def _empty_table() -> pyarrow.Table: |
| return pyarrow.table({ |
| "partition": pyarrow.array([], type=pyarrow.string()), |
| "bucket": pyarrow.array([], type=pyarrow.int32()), |
| "file_path": pyarrow.array([], type=pyarrow.string()), |
| "file_format": pyarrow.array([], type=pyarrow.string()), |
| "schema_id": pyarrow.array([], type=pyarrow.int64()), |
| "level": pyarrow.array([], type=pyarrow.int32()), |
| "record_count": pyarrow.array([], type=pyarrow.int64()), |
| "file_size_in_bytes": pyarrow.array([], type=pyarrow.int64()), |
| "min_key": pyarrow.array([], type=pyarrow.string()), |
| "max_key": pyarrow.array([], type=pyarrow.string()), |
| "first_row_id": pyarrow.array([], type=pyarrow.int64()), |
| }) |
