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* Formatting adjustments made during code review.
While reviewing the BULK INSERT logic (in order to decide how best to
approach "ingest via sql" in the cloud), I made a few formatting and
comment changes. I'm just adding them here as a separate commit so they
don't muddy up my actual work.
* Parser modifications to support mulitple tuples in INSERT INTO
This commit doesn't include all of the changes required in the
planner. Fow now, the planner is simply modified to continue supporting
a single tuple (the first tuple in the list).
* Update the planner to handle multiple INSERT INTO tuples
This is part 1. It's still using the existing logic which builds an
ImportRequest for every record (and every field!).
The next step will involve using a client.Batch to handle the records.
* Introduce client.Importer interface (used by client.Batch)
Instead of the Batch having a pointer to a client, this puts an
interface there instead (which the client implements). It also allows us
to inject a different importer (i.e. other than a featurebase.client)
into the Batch.
* Decouple batch from client
This commit pulls batch-specific code out of the client package and into
a new batch package. It introduces the batch.Importer interface, the
methods of which replace all the calls that batch was previously making
directly to client methods.
Finally, it contains two implementations of the batch.Importer
interface: one is a wrapper around client, and the other is a wrapper
around featurebase.API.
* Use docker (instead of MustRunCluster) for internal batch tests
Because the `batch` package tests are internal, using
test.MustRunCluster() resulted in an import loop (because it eventually
imports `server`, and we can't have that). So this commit replaces the
use of `test.MustRunCluster()` with docker. The setup is basically the
same as that used in the idk docker tests.
Here we also remove all client-side references to `UseIngestAPI`, which
is an experimental (json) ingest api. It's still suppored on the server,
but here we remove the external usage of it.
* cherry-pick fix
* Use batch.Import() for sql3 INSERT INTO statements
* Thread logger into sql3
* fix batch test
* Fix some shadowing complaint by linter
* Address some test issues related to stringsets
* Exclude batch integration tests from CI
* Address PR feedback
- Added description to batch.README
- Consolidated grep commands in .gitlab-ci.yml
- Removed some debugging comments
- Replaces some inadvertantly removed license headers
* Add batch package to gitlab CI
* Updated CI for batch package
Updated CI include path
Update gitlab ci
Update CI
Update CI
Trying new include path for ci
Updated gitlab ci include path
Made idk race job optional for sonarcloud upload
add testdata directory
remove testenv from dockercompose file
use GIT_STRATEGY clone in batch CI
add testdata volume to dockercompose
Co-authored-by: Fletcher Haynes <fletcher.haynes@generalassemb.ly>
(cherry picked from commit 00ef2380e5)
219 lines
7.4 KiB
Go
219 lines
7.4 KiB
Go
package client
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import (
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"context"
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"time"
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featurebase "github.com/molecula/featurebase/v3"
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"github.com/molecula/featurebase/v3/roaring"
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"github.com/pkg/errors"
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)
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//////////////////////////////////////////////////////////////////////////////
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//
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// The following was introduced upon splitting batch out of the client package
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// (and into its own package). During that work, we changed batch from using
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// client.Index, and instead using featurebase.IndexInfo. The functions below
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// convert client types from/to featurebase types in order to satisfy the batch
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// requirements.
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//
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//////////////////////////////////////////////////////////////////////////////
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// FromClientIndex converts a client Index to a featurebase IndexInfo.
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func FromClientIndex(ci *Index) *featurebase.IndexInfo {
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return &featurebase.IndexInfo{
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Name: ci.Name(),
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CreatedAt: ci.CreatedAt(),
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Options: fromClientIndexOptions(ci.Opts()),
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Fields: fromClientFieldsMap(ci.Fields()),
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ShardWidth: ci.ShardWidth(),
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}
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}
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// fromClientIndexOptions
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func fromClientIndexOptions(cio IndexOptions) featurebase.IndexOptions {
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return featurebase.IndexOptions{
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Keys: cio.Keys(),
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TrackExistence: cio.TrackExistence(),
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PartitionN: 0, // TODO(tlt): this shouldn't be 0 once we support it.
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}
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}
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// toClientIndex
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func toClientIndex(fi *featurebase.IndexInfo) *Index {
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sch := NewSchema()
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return sch.Index(fi.Name,
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OptIndexKeys(fi.Options.Keys),
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OptIndexTrackExistence(fi.Options.TrackExistence),
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)
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}
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// fromClientField
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func fromClientField(cf *Field) *featurebase.FieldInfo {
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return &featurebase.FieldInfo{
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Name: cf.Name(),
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CreatedAt: cf.CreatedAt(),
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Options: fromClientFieldOptions(cf.Opts()),
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// TODO(tlt): do we need Views? Because we can't currently get views
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// from client.
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// Views: ??
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}
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}
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// fromClientFieldOptions
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func fromClientFieldOptions(cfo FieldOptions) featurebase.FieldOptions {
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return featurebase.FieldOptions{
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Base: cfo.Base(),
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BitDepth: 0, // TODO(tlt): set this?
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Min: cfo.Min(),
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Max: cfo.Max(),
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Scale: cfo.Scale(),
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Keys: cfo.Keys(),
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NoStandardView: cfo.NoStandardView(),
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CacheSize: uint32(cfo.CacheSize()),
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CacheType: string(cfo.CacheType()),
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Type: string(cfo.Type()),
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TimeUnit: cfo.TimeUnit(),
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TimeQuantum: featurebase.TimeQuantum(cfo.TimeQuantum()),
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ForeignIndex: cfo.ForeignIndex(),
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TTL: cfo.TTL(),
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}
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}
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// toClientField
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func toClientField(index string, ff *featurebase.FieldInfo) (*Field, error) {
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sch := NewSchema()
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idx := sch.Index(index)
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opts := []FieldOption{}
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switch ff.Options.Type {
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case featurebase.FieldTypeBool:
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opts = append(opts,
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OptFieldTypeBool(),
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)
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case featurebase.FieldTypeDecimal:
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opts = append(opts,
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OptFieldTypeDecimal(ff.Options.Scale, ff.Options.Min, ff.Options.Max),
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)
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case featurebase.FieldTypeMutex:
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opts = append(opts,
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OptFieldTypeMutex(CacheType(ff.Options.CacheType), int(ff.Options.CacheSize)),
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OptFieldKeys(ff.Options.Keys),
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)
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case featurebase.FieldTypeSet:
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opts = append(opts,
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OptFieldTypeSet(CacheType(ff.Options.CacheType), int(ff.Options.CacheSize)),
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OptFieldKeys(ff.Options.Keys),
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)
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case featurebase.FieldTypeInt:
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opts = append(opts,
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OptFieldTypeInt(ff.Options.Min.ToInt64(0), ff.Options.Max.ToInt64(0)),
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)
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case featurebase.FieldTypeTimestamp:
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epoch, err := featurebase.ValToTimestamp(ff.Options.TimeUnit, ff.Options.Base)
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if err != nil {
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return nil, errors.Wrapf(err, "calculating epoch: %s, %d", ff.Options.TimeUnit, ff.Options.Base)
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}
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opts = append(opts,
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OptFieldTypeTimestamp(epoch, ff.Options.TimeUnit),
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)
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}
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return idx.Field(ff.Name, opts...), nil
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}
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// FromClientFields converts a slice of client Fields to a slice of featurebase
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// FieldInfo.
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func FromClientFields(cf []*Field) []*featurebase.FieldInfo {
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ff := make([]*featurebase.FieldInfo, len(cf))
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for i := range cf {
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ff[i] = fromClientField(cf[i])
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}
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return ff
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}
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// fromClientFieldsMap
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func fromClientFieldsMap(cf map[string]*Field) []*featurebase.FieldInfo {
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ff := make([]*featurebase.FieldInfo, 0, len(cf))
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for _, v := range cf {
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ff = append(ff, fromClientField(v))
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}
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return ff
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}
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// We can't import the batch package into client because it results in an import
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// loop. That's probably an indication that this interface implementation should
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// be moved somewhere else; for example, into a sub-package of the batch package
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// (since it's an implementation of one of batch's interfaces).
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// var _ batch.Importer = &importer{}
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// importer is a pilosa client which implements the batch.Importer interface.
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// This wrapper is necessary because of the call into client.Stats.Timing(), and
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// because the client takes client specific types (like Index and Field), but
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// the interface takes FeatureBase specific types.
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type importer struct {
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*Client
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}
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func NewImporter(c *Client) *importer {
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return &importer{
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Client: c,
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}
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}
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func (i *importer) StartTransaction(ctx context.Context, id string, timeout time.Duration, exclusive bool, requestTimeout time.Duration) (*featurebase.Transaction, error) {
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return i.Client.StartTransaction(id, timeout, exclusive, requestTimeout)
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}
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func (i *importer) FinishTransaction(ctx context.Context, id string) (*featurebase.Transaction, error) {
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return i.Client.FinishTransaction(id)
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}
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func (i *importer) CreateIndexKeys(ctx context.Context, idx *featurebase.IndexInfo, keys ...string) (map[string]uint64, error) {
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return i.Client.CreateIndexKeys(toClientIndex(idx), keys...)
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}
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func (i *importer) CreateFieldKeys(ctx context.Context, index string, field *featurebase.FieldInfo, keys ...string) (map[string]uint64, error) {
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fld, err := toClientField(index, field)
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if err != nil {
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return nil, errors.Wrap(err, "converting to client field")
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}
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return i.Client.CreateFieldKeys(fld, keys...)
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}
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func (i *importer) ImportRoaringBitmap(ctx context.Context, index string, field *featurebase.FieldInfo, shard uint64, views map[string]*roaring.Bitmap, clear bool) error {
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fld, err := toClientField(index, field)
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if err != nil {
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return errors.Wrap(err, "converting to client field")
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}
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return i.Client.ImportRoaringBitmap(fld, shard, views, clear)
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}
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func (i *importer) ImportRoaringShard(ctx context.Context, index string, shard uint64, request *featurebase.ImportRoaringShardRequest) error {
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return i.Client.ImportRoaringShard(index, shard, request)
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}
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func (i *importer) EncodeImportValues(ctx context.Context, index string, field *featurebase.FieldInfo, shard uint64, vals []int64, ids []uint64, clear bool) (path string, data []byte, err error) {
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fld, err := toClientField(index, field)
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if err != nil {
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return "", nil, errors.Wrap(err, "converting to client field")
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}
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return i.Client.EncodeImportValues(fld, shard, vals, ids, clear)
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}
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func (i *importer) EncodeImport(ctx context.Context, index string, field *featurebase.FieldInfo, shard uint64, vals, ids []uint64, clear bool) (path string, data []byte, err error) {
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fld, err := toClientField(index, field)
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if err != nil {
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return "", nil, errors.Wrap(err, "converting to client field")
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}
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return i.Client.EncodeImport(fld, shard, vals, ids, clear)
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}
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func (i *importer) DoImport(ctx context.Context, index string, field *featurebase.FieldInfo, shard uint64, path string, data []byte) error {
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return i.Client.DoImport(index, shard, path, data)
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}
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func (i *importer) StatsTiming(name string, value time.Duration, rate float64) {
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i.Client.Stats.Timing(name, value, rate)
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}
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