本文整理汇总了Golang中github.com/influxdb/influxdb/influxql.SelectStatement.HasDistinct方法的典型用法代码示例。如果您正苦于以下问题:Golang SelectStatement.HasDistinct方法的具体用法?Golang SelectStatement.HasDistinct怎么用?Golang SelectStatement.HasDistinct使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/influxdb/influxdb/influxql.SelectStatement
的用法示例。
在下文中一共展示了SelectStatement.HasDistinct方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: NewLocalMapper
// NewLocalMapper returns a mapper for the given shard, which will return data for the SELECT statement.
func NewLocalMapper(shard *Shard, stmt *influxql.SelectStatement, chunkSize int) *LocalMapper {
m := &LocalMapper{
shard: shard,
stmt: stmt,
chunkSize: chunkSize,
cursors: make([]*tagSetCursor, 0),
}
m.rawMode = (stmt.IsRawQuery && !stmt.HasDistinct()) || stmt.IsSimpleDerivative()
return m
}
示例2: plan
// Plan creates an execution plan for the given SelectStatement and returns an Executor.
func (q *QueryExecutor) plan(stmt *influxql.SelectStatement, chunkSize int) (Executor, error) {
shards := map[uint64]meta.ShardInfo{} // Shards requiring mappers.
// Replace instances of "now()" with the current time, and check the resultant times.
stmt.Condition = influxql.Reduce(stmt.Condition, &influxql.NowValuer{Now: time.Now().UTC()})
tmin, tmax := influxql.TimeRange(stmt.Condition)
if tmax.IsZero() {
tmax = time.Now()
}
if tmin.IsZero() {
tmin = time.Unix(0, 0)
}
for _, src := range stmt.Sources {
mm, ok := src.(*influxql.Measurement)
if !ok {
return nil, fmt.Errorf("invalid source type: %#v", src)
}
// Build the set of target shards. Using shard IDs as keys ensures each shard ID
// occurs only once.
shardGroups, err := q.MetaStore.ShardGroupsByTimeRange(mm.Database, mm.RetentionPolicy, tmin, tmax)
if err != nil {
return nil, err
}
for _, g := range shardGroups {
for _, sh := range g.Shards {
shards[sh.ID] = sh
}
}
}
// Build the Mappers, one per shard.
mappers := []Mapper{}
for _, sh := range shards {
m, err := q.ShardMapper.CreateMapper(sh, stmt.String(), chunkSize)
if err != nil {
return nil, err
}
if m == nil {
// No data for this shard, skip it.
continue
}
mappers = append(mappers, m)
}
if stmt.IsRawQuery && !stmt.HasDistinct() {
return NewRawExecutor(stmt, mappers, chunkSize), nil
}
return NewAggregateExecutor(stmt, mappers), nil
}
示例3: PlanSelect
// Plan creates an execution plan for the given SelectStatement and returns an Executor.
func (q *QueryExecutor) PlanSelect(stmt *influxql.SelectStatement, chunkSize int) (Executor, error) {
var shardIDs []uint64
shards := map[uint64]meta.ShardInfo{} // Shards requiring mappers.
// It is important to "stamp" this time so that everywhere we evaluate `now()` in the statement is EXACTLY the same `now`
now := time.Now().UTC()
// Replace instances of "now()" with the current time, and check the resultant times.
stmt.Condition = influxql.Reduce(stmt.Condition, &influxql.NowValuer{Now: now})
tmin, tmax := influxql.TimeRange(stmt.Condition)
if tmax.IsZero() {
tmax = now
}
if tmin.IsZero() {
tmin = time.Unix(0, 0)
}
for _, src := range stmt.Sources {
mm, ok := src.(*influxql.Measurement)
if !ok {
return nil, fmt.Errorf("invalid source type: %#v", src)
}
// Build the set of target shards. Using shard IDs as keys ensures each shard ID
// occurs only once.
shardGroups, err := q.MetaClient.ShardGroupsByTimeRange(mm.Database, mm.RetentionPolicy, tmin, tmax)
if err != nil {
return nil, err
}
for _, g := range shardGroups {
for _, sh := range g.Shards {
if _, ok := shards[sh.ID]; !ok {
shards[sh.ID] = sh
shardIDs = append(shardIDs, sh.ID)
}
}
}
}
// Sort shard IDs to make testing deterministic.
sort.Sort(uint64Slice(shardIDs))
// Build the Mappers, one per shard.
mappers := []Mapper{}
for _, shardID := range shardIDs {
sh := shards[shardID]
m, err := q.ShardMapper.CreateMapper(sh, stmt, chunkSize)
if err != nil {
return nil, err
}
if m == nil {
// No data for this shard, skip it.
continue
}
mappers = append(mappers, m)
}
// Certain operations on the SELECT statement can be performed by the AggregateExecutor without
// assistance from the Mappers. This allows the AggregateExecutor to prepare aggregation functions
// and mathematical functions.
stmt.RewriteDistinct()
if (stmt.IsRawQuery && !stmt.HasDistinct()) || stmt.IsSimpleDerivative() {
return NewRawExecutor(stmt, mappers, chunkSize), nil
} else {
return NewAggregateExecutor(stmt, mappers), nil
}
}