elasticsearch/_async/client/cat.py [1276:1410]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - t.Union[ t.Sequence[ t.Union[ str, t.Literal[ "assignment_explanation", "buckets.count", "buckets.time.exp_avg", "buckets.time.exp_avg_hour", "buckets.time.max", "buckets.time.min", "buckets.time.total", "data.buckets", "data.earliest_record", "data.empty_buckets", "data.input_bytes", "data.input_fields", "data.input_records", "data.invalid_dates", "data.last", "data.last_empty_bucket", "data.last_sparse_bucket", "data.latest_record", "data.missing_fields", "data.out_of_order_timestamps", "data.processed_fields", "data.processed_records", "data.sparse_buckets", "forecasts.memory.avg", "forecasts.memory.max", "forecasts.memory.min", "forecasts.memory.total", "forecasts.records.avg", "forecasts.records.max", "forecasts.records.min", "forecasts.records.total", "forecasts.time.avg", "forecasts.time.max", "forecasts.time.min", "forecasts.time.total", "forecasts.total", "id", "model.bucket_allocation_failures", "model.by_fields", "model.bytes", "model.bytes_exceeded", "model.categorization_status", "model.categorized_doc_count", "model.dead_category_count", "model.failed_category_count", "model.frequent_category_count", "model.log_time", "model.memory_limit", "model.memory_status", "model.over_fields", "model.partition_fields", "model.rare_category_count", "model.timestamp", "model.total_category_count", "node.address", "node.ephemeral_id", "node.id", "node.name", "opened_time", "state", ], ] ], t.Union[ str, t.Literal[ "assignment_explanation", "buckets.count", "buckets.time.exp_avg", "buckets.time.exp_avg_hour", "buckets.time.max", "buckets.time.min", "buckets.time.total", "data.buckets", "data.earliest_record", "data.empty_buckets", "data.input_bytes", "data.input_fields", "data.input_records", "data.invalid_dates", "data.last", "data.last_empty_bucket", "data.last_sparse_bucket", "data.latest_record", "data.missing_fields", "data.out_of_order_timestamps", "data.processed_fields", "data.processed_records", "data.sparse_buckets", "forecasts.memory.avg", "forecasts.memory.max", "forecasts.memory.min", "forecasts.memory.total", "forecasts.records.avg", "forecasts.records.max", "forecasts.records.min", "forecasts.records.total", "forecasts.time.avg", "forecasts.time.max", "forecasts.time.min", "forecasts.time.total", "forecasts.total", "id", "model.bucket_allocation_failures", "model.by_fields", "model.bytes", "model.bytes_exceeded", "model.categorization_status", "model.categorized_doc_count", "model.dead_category_count", "model.failed_category_count", "model.frequent_category_count", "model.log_time", "model.memory_limit", "model.memory_status", "model.over_fields", "model.partition_fields", "model.rare_category_count", "model.timestamp", "model.total_category_count", "node.address", "node.ephemeral_id", "node.id", "node.name", "opened_time", "state", ], ], ] ] = None, - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - elasticsearch/_sync/client/cat.py [1137:1271]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - t.Union[ t.Sequence[ t.Union[ str, t.Literal[ "assignment_explanation", "buckets.count", "buckets.time.exp_avg", "buckets.time.exp_avg_hour", "buckets.time.max", "buckets.time.min", "buckets.time.total", "data.buckets", "data.earliest_record", "data.empty_buckets", "data.input_bytes", "data.input_fields", "data.input_records", "data.invalid_dates", "data.last", "data.last_empty_bucket", "data.last_sparse_bucket", "data.latest_record", "data.missing_fields", "data.out_of_order_timestamps", "data.processed_fields", "data.processed_records", "data.sparse_buckets", "forecasts.memory.avg", "forecasts.memory.max", "forecasts.memory.min", "forecasts.memory.total", "forecasts.records.avg", "forecasts.records.max", "forecasts.records.min", "forecasts.records.total", "forecasts.time.avg", "forecasts.time.max", "forecasts.time.min", "forecasts.time.total", "forecasts.total", "id", "model.bucket_allocation_failures", "model.by_fields", "model.bytes", "model.bytes_exceeded", "model.categorization_status", "model.categorized_doc_count", "model.dead_category_count", "model.failed_category_count", "model.frequent_category_count", "model.log_time", "model.memory_limit", "model.memory_status", "model.over_fields", "model.partition_fields", "model.rare_category_count", "model.timestamp", "model.total_category_count", "node.address", "node.ephemeral_id", "node.id", "node.name", "opened_time", "state", ], ] ], t.Union[ str, t.Literal[ "assignment_explanation", "buckets.count", "buckets.time.exp_avg", "buckets.time.exp_avg_hour", "buckets.time.max", "buckets.time.min", "buckets.time.total", "data.buckets", "data.earliest_record", "data.empty_buckets", "data.input_bytes", "data.input_fields", "data.input_records", "data.invalid_dates", "data.last", "data.last_empty_bucket", "data.last_sparse_bucket", "data.latest_record", "data.missing_fields", "data.out_of_order_timestamps", "data.processed_fields", "data.processed_records", "data.sparse_buckets", "forecasts.memory.avg", "forecasts.memory.max", "forecasts.memory.min", "forecasts.memory.total", "forecasts.records.avg", "forecasts.records.max", "forecasts.records.min", "forecasts.records.total", "forecasts.time.avg", "forecasts.time.max", "forecasts.time.min", "forecasts.time.total", "forecasts.total", "id", "model.bucket_allocation_failures", "model.by_fields", "model.bytes", "model.bytes_exceeded", "model.categorization_status", "model.categorized_doc_count", "model.dead_category_count", "model.failed_category_count", "model.frequent_category_count", "model.log_time", "model.memory_limit", "model.memory_status", "model.over_fields", "model.partition_fields", "model.rare_category_count", "model.timestamp", "model.total_category_count", "node.address", "node.ephemeral_id", "node.id", "node.name", "opened_time", "state", ], ], ] ] = None, - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -