1 line
4.6 KiB
JSON
1 line
4.6 KiB
JSON
{"role": "dimension", "time": {"range": null, "column": null, "has_gaps": null, "granularity": "unknown"}, "grain": ["service_point_id"], "table": "data-ge.water_meter_info", "columns": [{"name": "meter_subtype", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 9, "distinct_ratio": 0.03, "pk_candidate_score": 0.03, "metric_candidate_score": 0.0}, {"name": "installation_position", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 4, "distinct_ratio": 0.013333333333333334, "pk_candidate_score": 0.013333333333333334, "metric_candidate_score": 0.0}, {"name": "supply_office", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 11, "distinct_ratio": 0.03666666666666667, "pk_candidate_score": 0.03666666666666667, "metric_candidate_score": 0.0}, {"name": "meter_diameter", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 8, "distinct_ratio": 0.02666666666666667, "pk_candidate_score": 0.02666666666666667, "metric_candidate_score": 0.0}, {"name": "account_id", "dtype": "unknown", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "该列的统计指标（如空值率、唯一性）缺失，但根据命名规则推断为ID。", "enumish": null, "null_rate": null, "top_values": [], "semantic_type": "id", "distinct_count": null, "distinct_ratio": null, "pk_candidate_score": 0.9, "metric_candidate_score": 0.0}, {"name": "service_point_id", "dtype": "unknown", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "该列的统计指标（如空值率、唯一性）缺失，但根据命名规则推断为ID。", "enumish": null, "null_rate": null, "top_values": [], "semantic_type": "id", "distinct_count": null, "distinct_ratio": null, "pk_candidate_score": 0.95, "metric_candidate_score": 0.0}, {"name": "station", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 36, "distinct_ratio": 0.12, "pk_candidate_score": 0.12, "metric_candidate_score": 0.0}, {"name": "meter_type", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 5, "distinct_ratio": 0.016666666666666666, "pk_candidate_score": 0.016666666666666666, "metric_candidate_score": 0.0}, {"name": "district", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 13, "distinct_ratio": 0.043333333333333335, "pk_candidate_score": 0.043333333333333335, "metric_candidate_score": 0.0}, {"name": "meter_status", "dtype": "string", "stats": {"max": null, "min": null, "std": null, "mean": null, "skewness": null}, "comment": "该列只有一个唯一值 '有效'。", "enumish": true, "null_rate": 0.0, "top_values": [], "semantic_type": "dimension", "distinct_count": 1, "distinct_ratio": 0.0033333333333333335, "pk_candidate_score": 0.0033333333333333335, "metric_candidate_score": 0.0}], "quality": {"warning_hints": ["列 'meter_status' 只有一个唯一值 '有效'，可能为常量列。"], "failed_expectations": []}, "row_count": 300, "fk_candidates": [], "confidence_notes": ["表角色(role)被推断为 'dimension'，因为其列几乎完全由ID和类别属性构成，且缺少数值指标或时间序列列。", "主键候选(primary_key_candidates) 'service_point_id' 和 'account_id' 是基于命名约定（包含'_id'）推断的。其唯一性和非空性未在GE结果中直接度量，因此这是一个高置信度的猜测。", "表粒度(grain)可能为 'service_point'，与推断的主键 'service_point_id' 相对应。", "未根据列名或数据格式识别出时间列。"], "primary_key_candidates": [["service_point_id"], ["account_id"]]} |