Struct google_cloud_bigquery::http::job::JobStatisticsQuery

pub struct JobStatisticsQuery {

    pub query_plan: Option<Vec<ExplainQueryStage>>,
    pub estimated_bytes_processed: Option<i64>,
    pub timeline: Option<Vec<QueryTimelineSample>>,
    pub total_partitions_processed: Option<i64>,
    pub total_bytes_processed: Option<i64>,
    pub total_bytes_processed_accuracy: Option<String>,
    pub total_bytes_billed: Option<i64>,
    pub billing_tier: Option<i32>,
    pub total_slot_ms: Option<i64>,
    pub cache_hist: Option<bool>,
    pub referenced_tables: Option<Vec<TableReference>>,
    pub referenced_routines: Option<Vec<RoutineReference>>,
    pub schema: Option<TableSchema>,
    pub num_dml_affected_rows: Option<i64>,
    pub dml_stats: Option<DmlStats>,
    pub undeclared_query_parameters: Option<Vec<QueryParameter>>,
    pub statement_type: Option<String>,
    pub ddl_operation_performed: Option<String>,
    pub ddl_target_table: Option<TableReference>,
    pub ddl_target_row_access_policy: Option<RowAccessPolicyReference>,
    pub ddl_affected_row_access_policy_count: Option<i64>,
    pub ddl_target_routine: Option<RoutineReference>,
    pub ml_statistics: Option<MlStatistics>,
    pub export_data_statistics: Option<ExportDataStatistics>,
    pub external_service_costs: Option<Vec<ExternalServiceCost>>,
    pub bi_engine_statistics: Option<BiEngineStatistics>,
    pub load_query_statistics: Option<LoadQueryStatistics>,
    pub dcl_target_table: Option<TableReference>,
    pub dcl_target_view: Option<TableReference>,
    pub search_statistics: Option<SearchStatistics>,
    pub performance_insights: Option<PerformanceInsights>,
    pub spark_statistics: Option<SparkStatistics>,
    pub transferred_bytes: Option<i64>,
}

Fields

query_plan: Option<Vec<ExplainQueryStage>>

Output only. Describes execution plan for the query.

estimated_bytes_processed: Option<i64>

Output only. The original estimate of bytes processed for the job.

timeline: Option<Vec<QueryTimelineSample>>

Output only. Describes a timeline of job execution.

total_partitions_processed: Option<i64>

Output only. Total number of partitions processed from all partitioned tables referenced in the job.

total_bytes_processed: Option<i64>

Output only. Total bytes processed for the job.

total_bytes_processed_accuracy: Option<String>

Output only. For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.

total_bytes_billed: Option<i64>

Output only. If the project is configured to use on-demand pricing, then this field contains the total bytes billed for the job. If the project is configured to use flat-rate pricing, then you are not billed for bytes and this field is informational only.

billing_tier: Option<i32>

Output only. Billing tier for the job. This is a BigQuery-specific concept which is not related to the GCP notion of “free tier”. The value here is a measure of the query’s resource consumption relative to the amount of data scanned. For on-demand queries, the limit is 100, and all queries within this limit are billed at the standard on-demand rates. On-demand queries that exceed this limit will fail with a billingTierLimitExceeded error.

total_slot_ms: Option<i64>

Output only. Slot-milliseconds for the job.

cache_hist: Option<bool>

Output only. Whether the query result was fetched from the query cache.

referenced_tables: Option<Vec<TableReference>>

Output only. Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.

referenced_routines: Option<Vec<RoutineReference>>

Output only. Referenced routines for the job.

schema: Option<TableSchema>

Output only. The schema of the results. Present only for successful dry run of non-legacy SQL queries.

num_dml_affected_rows: Option<i64>

Output only. The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.

dml_stats: Option<DmlStats>

Output only. Detailed statistics for DML statements INSERT, UPDATE, DELETE, MERGE or TRUNCATE

undeclared_query_parameters: Option<Vec<QueryParameter>>

Output only. GoogleSQL only: list of undeclared query parameters detected during a dry run validation

statement_type: Option<String>

Output only. The type of query statement, if valid. Possible values: SELECT: SELECT statement. INSERT: INSERT statement. UPDATE: UPDATE statement. DELETE: DELETE statement. MERGE: MERGE statement. ALTER_TABLE: ALTER TABLE statement. ALTER_VIEW: ALTER VIEW statement. ASSERT: ASSERT statement. CREATE_FUNCTION: CREATE FUNCTION statement. CREATE_MODEL: CREATE MODEL statement. CREATE_PROCEDURE: CREATE PROCEDURE statement. CREATE_ROW_ACCESS_POLICY: CREATE ROW ACCESS POLICY statement. CREATE_TABLE: CREATE TABLE statement, without AS SELECT. CREATE_TABLE_AS_SELECT: CREATE TABLE AS SELECT statement. CREATE_VIEW: CREATE VIEW statement. DROP_FUNCTION : DROP FUNCTION statement. DROP_PROCEDURE: DROP PROCEDURE statement. DROP_ROW_ACCESS_POLICY: DROP [ALL] ROW ACCESS POLICY|POLICIES statement. DROP_TABLE: DROP TABLE statement. DROP_VIEW: DROP VIEW statement. EXPORT_MODEL: EXPORT MODEL statement. LOAD_DATA: LOAD DATA statement.

ddl_operation_performed: Option<String>

Output only. The DDL operation performed, possibly dependent on the pre-existence of the DDL target.

ddl_target_table: Option<TableReference>

Output only. The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.

ddl_target_row_access_policy: Option<RowAccessPolicyReference>

Output only. The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.

ddl_affected_row_access_policy_count: Option<i64>

Output only. The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.

ddl_target_routine: Option<RoutineReference>

Output only. [Beta] The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.

ml_statistics: Option<MlStatistics>

Output only. Statistics of a BigQuery ML training job.

export_data_statistics: Option<ExportDataStatistics>

Output only. Stats for EXPORT DATA statement.

external_service_costs: Option<Vec<ExternalServiceCost>>

Output only. Job cost breakdown as bigquery internal cost and external service costs.

bi_engine_statistics: Option<BiEngineStatistics>

Output only. BI Engine specific Statistics.

load_query_statistics: Option<LoadQueryStatistics>

Output only. Statistics for a LOAD query.

dcl_target_table: Option<TableReference>

Output only. Referenced table for DCL statement.

dcl_target_view: Option<TableReference>

Output only. Referenced view for DCL statement.

search_statistics: Option<SearchStatistics>

Output only. Search query specific statistics.

performance_insights: Option<PerformanceInsights>

Output only. Performance insights.

spark_statistics: Option<SparkStatistics>

Output only. Statistics of a Spark procedure job.

transferred_bytes: Option<i64>

Output only. Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).

Trait Implementations

impl Clone for JobStatisticsQuery

fn clone(&self) -> JobStatisticsQuery

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for JobStatisticsQuery

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for JobStatisticsQuery

fn default() -> JobStatisticsQuery

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for JobStatisticsQuery

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq<JobStatisticsQuery> for JobStatisticsQuery

fn eq(&self, other: &JobStatisticsQuery) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for JobStatisticsQuery

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for JobStatisticsQuery