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<?php |
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declare(strict_types=1); |
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namespace Level23\Druid\Tasks; |
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use Closure; |
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use InvalidArgumentException; |
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use Level23\Druid\DruidClient; |
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use Level23\Druid\Types\DataType; |
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use Level23\Druid\Context\TaskContext; |
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use Level23\Druid\Concerns\HasInterval; |
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use Level23\Druid\Concerns\HasAggregations; |
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use Level23\Druid\Concerns\HasTuningConfig; |
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use Level23\Druid\Transforms\TransformSpec; |
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use Level23\Druid\Dimensions\TimestampSpec; |
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use Level23\Druid\InputFormats\FlattenSpec; |
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use Level23\Druid\Types\MultiValueHandling; |
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use Level23\Druid\Transforms\TransformBuilder; |
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use Level23\Druid\Dimensions\SpatialDimension; |
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use Level23\Druid\InputFormats\CsvInputFormat; |
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use Level23\Druid\InputFormats\TsvInputFormat; |
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use Level23\Druid\InputFormats\OrcInputFormat; |
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use Level23\Druid\Concerns\HasQueryGranularity; |
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use Level23\Druid\InputFormats\JsonInputFormat; |
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use Level23\Druid\InputSources\DruidInputSource; |
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use Level23\Druid\Collections\IntervalCollection; |
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use Level23\Druid\Concerns\HasSegmentGranularity; |
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use Level23\Druid\Collections\TransformCollection; |
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use Level23\Druid\InputFormats\ParquetInputFormat; |
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use Level23\Druid\Granularities\UniformGranularity; |
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use Level23\Druid\InputFormats\ProtobufInputFormat; |
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use Level23\Druid\Collections\AggregationCollection; |
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use Level23\Druid\InputSources\InputSourceInterface; |
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use Level23\Druid\InputFormats\InputFormatInterface; |
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use Level23\Druid\Granularities\ArbitraryGranularity; |
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use Level23\Druid\Collections\SpatialDimensionCollection; |
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class IndexTaskBuilder extends TaskBuilder |
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{ |
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use HasSegmentGranularity, HasQueryGranularity, HasInterval, HasTuningConfig, HasAggregations; |
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/** |
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* @var array<array<string,string|bool>> |
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*/ |
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protected array $dimensions = []; |
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protected SpatialDimensionCollection $spatialDimensions; |
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/** |
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* The data source where we will write to. |
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* |
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* @var string |
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*/ |
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protected string $dataSource; |
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protected ?InputSourceInterface $inputSource; |
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protected bool $rollup = false; |
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/** |
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* Whether this task should be executed parallel. |
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* |
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* @var bool |
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*/ |
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protected bool $parallel = false; |
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/** |
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* @var TransformSpec|null |
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*/ |
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protected ?TransformSpec $transformSpec = null; |
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/** |
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* @var TimestampSpec|null |
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*/ |
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protected ?TimestampSpec $timestampSpec = null; |
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/** |
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* Here we remember which type of granularity we want. |
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* By default, this is UniformGranularity. |
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* |
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* @var string |
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*/ |
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protected string $granularityType = UniformGranularity::class; |
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/** |
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* @var \Level23\Druid\InputFormats\InputFormatInterface|null |
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*/ |
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protected ?InputFormatInterface $inputFormat = null; |
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/** |
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* @var bool |
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*/ |
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protected bool $appendToExisting = false; |
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/** |
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* IndexTaskBuilder constructor. |
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* |
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* @param DruidClient $druidClient |
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* @param string $toDataSource Data source where the data will be imported in. |
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* @param InputSourceInterface|null $inputSource |
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*/ |
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public function __construct( |
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DruidClient $druidClient, |
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string $toDataSource, |
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?InputSourceInterface $inputSource = null |
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) { |
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$this->client = $druidClient; |
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$this->dataSource = $toDataSource; |
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$this->inputSource = $inputSource; |
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$this->spatialDimensions = new SpatialDimensionCollection(); |
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} |
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/** |
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* Add a dimension. |
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* |
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* @param string $name |
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* @param string $type |
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* |
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* @return $this |
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*/ |
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public function dimension(string $name, string $type = DataType::STRING): IndexTaskBuilder |
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{ |
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$this->dimensions[] = ['name' => $name, 'type' => DataType::validate($type)]; |
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return $this; |
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} |
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/** |
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* Add a multi-value dimension. |
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* |
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* @param string $name |
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* @param string $type |
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* @param string $multiValueHandling $type |
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* @param bool $createBitmapIndex |
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* |
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* @return $this |
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*/ |
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public function multiValueDimension( |
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string $name, |
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string $type = DataType::STRING, |
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string $multiValueHandling = MultiValueHandling::SORTED_ARRAY, |
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bool $createBitmapIndex = true |
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): IndexTaskBuilder { |
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$this->dimensions[] = [ |
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'name' => $name, |
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'type' => DataType::validate($type), |
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'multiValueHandling' => MultiValueHandling::validate($multiValueHandling), |
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'createBitmapIndex' => $createBitmapIndex, |
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]; |
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return $this; |
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} |
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/** |
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* Add a spatial dimension. |
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* |
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* @param string $name Name of the dimension. |
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* @param string[] $dims Field names where latitude,longitude data are read from. |
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* |
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* @return $this |
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*/ |
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public function spatialDimension(string $name, array $dims): IndexTaskBuilder |
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{ |
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$this->spatialDimensions->add(new SpatialDimension($name, $dims)); |
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return $this; |
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} |
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/** |
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* Enable append mode. When this is set, we will add the data retrieved from the firehose to the segments, instead |
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* of overwriting the data in the segments. |
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* |
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* @return $this |
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* @deprecated Use appendToExisting() instead. |
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*/ |
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public function append(): IndexTaskBuilder |
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{ |
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$this->appendToExisting(); |
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return $this; |
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} |
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/** |
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* @param string $column Input row field to read the primary timestamp from. Regardless of the name of |
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* this input field, the primary timestamp will always be stored as a column named |
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* __time in your Druid datasource. |
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* @param string $format Timestamp format. Options are: |
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* - iso: ISO8601 with 'T' separator, like "2000-01-01T01:02:03.456" |
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* - posix: seconds since epoch |
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* - millis: milliseconds since epoch |
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* - micro: microseconds since epoch |
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* - nano: nanoseconds since epoch |
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* - auto: automatically detects ISO (either 'T' or space separator) or millis |
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* format |
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* - any Joda DateTimeFormat string |
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* @param null|string $missingValue Timestamp to use for input records that have a null or missing timestamp |
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* column. Should be in ISO8601 format, like "2000-01-01T01:02:03.456", even if |
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* you have specified something else for format. Since Druid requires a primary |
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* timestamp, this setting can be useful for ingesting datasets that do not have |
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* any per-record timestamps at all. |
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* |
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* @return $this |
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*/ |
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public function timestamp(string $column, string $format, ?string $missingValue = null): IndexTaskBuilder |
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{ |
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$this->timestampSpec = new TimestampSpec($column, $format, $missingValue); |
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return $this; |
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} |
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/** |
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* Specify that we use JSON as input format. |
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* |
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* @param FlattenSpec|null $flattenSpec Specifies flattening configuration for nested JSON data. See |
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* flattenSpec for more info. |
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* @param array<string,bool>|null $features JSON parser features supported by Jackson library. Those features |
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* will be applied when parsing the input JSON data. |
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* |
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* @see https://github.com/FasterXML/jackson-core/wiki/JsonParser-Features |
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*/ |
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public function jsonFormat(?FlattenSpec $flattenSpec = null, ?array $features = null): self |
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{ |
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$this->inputFormat = new JsonInputFormat($flattenSpec, $features); |
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return $this; |
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} |
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/** |
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* Specify that we use CSV as input format. |
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* |
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* @param string[]|null $columns Specifies the columns of the data. The columns should be in the same |
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* order with the columns of your data. |
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* @param string|null $listDelimiter A custom delimiter for multi-value dimensions. |
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* @param bool|null $findColumnsFromHeader If this is set, the task will find the column names from the header |
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* row. Note that skipHeaderRows will be applied before finding column |
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* names from the header. For example, if you set skipHeaderRows to 2 |
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* and findColumnsFromHeader to true, the task will skip the first two |
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* lines and then extract column information from the third line. |
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* columns will be ignored if this is set to true. |
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* @param int $skipHeaderRows If this is set, the task will skip the first skipHeaderRows rows. |
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*/ |
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public function csvFormat( |
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?array $columns = null, |
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?string $listDelimiter = null, |
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?bool $findColumnsFromHeader = null, |
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int $skipHeaderRows = 0 |
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): self { |
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$this->inputFormat = new CsvInputFormat($columns, $listDelimiter, $findColumnsFromHeader, $skipHeaderRows); |
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return $this; |
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} |
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/** |
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* Specify that we use TSV as input format. |
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* |
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* @param array<string>|null $columns Specifies the columns of the data. The columns should be in the |
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* same order with the columns of your data. |
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* @param string|null $delimiter A custom delimiter for data values. |
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* @param string|null $listDelimiter A custom delimiter for multi-value dimensions. |
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* @param bool|null $findColumnsFromHeader If this is set, the task will find the column names from the |
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* header row. Note that skipHeaderRows will be applied before |
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* finding column names from the header. For example, if you set |
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* skipHeaderRows to 2 and findColumnsFromHeader to true, the task |
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* will skip the first two lines and then extract column |
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* information from the third line. columns will be ignored if |
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* this is set to true. |
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* @param int $skipHeaderRows If this is set, the task will skip the first skipHeaderRows |
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* rows. |
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*/ |
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public function tsvFormat( |
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?array $columns = null, |
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?string $delimiter = null, |
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?string $listDelimiter = null, |
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?bool $findColumnsFromHeader = null, |
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int $skipHeaderRows = 0 |
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): self { |
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$this->inputFormat = new TsvInputFormat( |
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$columns, |
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$delimiter, |
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$listDelimiter, |
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$findColumnsFromHeader, |
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$skipHeaderRows |
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); |
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return $this; |
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} |
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/** |
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* Specify that we use ORC as input format. |
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* |
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* To use the ORC input format, load the Druid Orc extension ( druid-orc-extensions). |
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* |
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* @param FlattenSpec|null $flattenSpec Specifies flattening configuration for nested ORC data. See flattenSpec |
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* for more info. |
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* @param bool|null $binaryAsString Specifies if the binary orc column which is not logically marked as a |
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* string should be treated as a UTF-8 encoded string. Default is false. |
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*/ |
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public function orcFormat(?FlattenSpec $flattenSpec = null, ?bool $binaryAsString = null): self |
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{ |
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$this->inputFormat = new OrcInputFormat($flattenSpec, $binaryAsString); |
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return $this; |
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} |
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/** |
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* Specify that we use Parquet as input format. |
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* |
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* To use the Parquet input format load the Druid Parquet extension (druid-parquet-extensions). |
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* |
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* @param FlattenSpec|null $flattenSpec Define a flattenSpec to extract nested values from a Parquet file. Note |
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* that only 'path' expression are supported ('jq' is unavailable). |
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312
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* @param bool|null $binaryAsString Specifies if the bytes parquet column which is not logically marked as a |
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313
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* string or enum type should be treated as a UTF-8 encoded string. |
|
314
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*/ |
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315
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1 |
|
public function parquetFormat(?FlattenSpec $flattenSpec = null, ?bool $binaryAsString = null): self |
|
316
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{ |
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317
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1 |
|
$this->inputFormat = new ParquetInputFormat($flattenSpec, $binaryAsString); |
|
318
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319
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1 |
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return $this; |
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320
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} |
|
321
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322
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/** |
|
323
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* Specify that we use Protobuf as input format. |
|
324
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|
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* |
|
325
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* You need to include the druid-protobuf-extensions as an extension to use the Protobuf input format. |
|
326
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* |
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327
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* @param array<string,string> $protoBytesDecoder Specifies how to decode bytes to Protobuf record. See below for |
|
328
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* an example. |
|
329
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* @param FlattenSpec|null $flattenSpec Define a flattenSpec to extract nested values from a Parquet |
|
330
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|
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* file. Note that only 'path' expression are supported ('jq' is |
|
331
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* unavailable). |
|
332
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* |
|
333
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* Example $protoBytesDecoder value: |
|
334
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|
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* ``` |
|
335
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|
|
* [ |
|
336
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|
|
* "type" => "file", |
|
337
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* "descriptor" => "file:///tmp/metrics.desc", |
|
338
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* "protoMessageType" => "Metrics" |
|
339
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* ] |
|
340
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* ``` |
|
341
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* |
|
342
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|
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* @see https://druid.apache.org/docs/latest/ingestion/data-formats.html#protobuf |
|
343
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*/ |
|
344
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1 |
|
public function protobufFormat(array $protoBytesDecoder, ?FlattenSpec $flattenSpec = null): self |
|
345
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|
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{ |
|
346
|
1 |
|
$this->inputFormat = new ProtobufInputFormat($protoBytesDecoder, $flattenSpec); |
|
347
|
|
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|
348
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1 |
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return $this; |
|
349
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|
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} |
|
350
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|
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|
351
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|
|
/** |
|
352
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|
* @param \Level23\Druid\Context\TaskContext|array<string,string|int|bool> $context |
|
353
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* |
|
354
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|
|
* @return \Level23\Druid\Tasks\TaskInterface |
|
355
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|
|
*/ |
|
356
|
11 |
|
protected function buildTask($context): TaskInterface |
|
357
|
|
|
{ |
|
358
|
11 |
|
if (is_array($context)) { |
|
359
|
11 |
|
$context = new TaskContext($context); |
|
360
|
|
|
} |
|
361
|
|
|
|
|
362
|
11 |
|
if ($this->queryGranularity === null) { |
|
363
|
1 |
|
throw new InvalidArgumentException('You have to specify a queryGranularity value!'); |
|
364
|
|
|
} |
|
365
|
|
|
|
|
366
|
10 |
|
if ($this->interval === null) { |
|
367
|
1 |
|
throw new InvalidArgumentException('You have to specify an interval!'); |
|
368
|
|
|
} |
|
369
|
|
|
|
|
370
|
9 |
|
if ($this->timestampSpec === null) { |
|
371
|
1 |
|
throw new InvalidArgumentException('You have to specify an timestamp column!'); |
|
372
|
|
|
} |
|
373
|
|
|
|
|
374
|
8 |
|
if ($this->granularityType == ArbitraryGranularity::class) { |
|
375
|
1 |
|
$granularity = new ArbitraryGranularity( |
|
376
|
1 |
|
$this->queryGranularity, |
|
377
|
1 |
|
$this->rollup, |
|
378
|
1 |
|
new IntervalCollection($this->interval) |
|
379
|
|
|
); |
|
380
|
|
|
} else { |
|
381
|
7 |
|
if ($this->segmentGranularity === null) { |
|
382
|
1 |
|
throw new InvalidArgumentException('You have to specify a segmentGranularity value!'); |
|
383
|
|
|
} |
|
384
|
|
|
|
|
385
|
6 |
|
$granularity = new UniformGranularity( |
|
386
|
6 |
|
$this->segmentGranularity, |
|
387
|
6 |
|
$this->queryGranularity, |
|
388
|
6 |
|
$this->rollup, |
|
389
|
6 |
|
new IntervalCollection($this->interval) |
|
390
|
|
|
); |
|
391
|
|
|
} |
|
392
|
|
|
|
|
393
|
|
|
// No input source known? Then use our deprecated "string" approach. |
|
394
|
7 |
|
if (!isset($this->inputSource)) { |
|
395
|
3 |
|
throw new InvalidArgumentException( |
|
396
|
|
|
'No InputSource known. You have to supply an input source!.' |
|
397
|
|
|
); |
|
398
|
|
|
} |
|
399
|
|
|
|
|
400
|
|
|
// Do we want to read data from duid? And no interval set yet? Then fill it. We assume this is a reindex task. |
|
401
|
4 |
|
if ($this->inputSource instanceof DruidInputSource && $this->inputSource->getInterval() === null) { |
|
|
|
|
|
|
402
|
2 |
|
$this->inputSource->setInterval($this->interval); |
|
|
|
|
|
|
403
|
|
|
} |
|
404
|
|
|
|
|
405
|
4 |
|
$task = new IndexTask( |
|
406
|
4 |
|
$this->dataSource, |
|
407
|
4 |
|
$this->inputSource, |
|
|
|
|
|
|
408
|
|
|
$granularity, |
|
409
|
4 |
|
$this->timestampSpec, |
|
410
|
4 |
|
$this->transformSpec, |
|
411
|
4 |
|
$this->tuningConfig, |
|
412
|
|
|
$context, |
|
413
|
4 |
|
new AggregationCollection(... $this->aggregations), |
|
414
|
4 |
|
$this->dimensions, |
|
415
|
4 |
|
$this->taskId, |
|
416
|
4 |
|
$this->inputFormat, |
|
417
|
4 |
|
$this->spatialDimensions |
|
418
|
|
|
); |
|
419
|
|
|
|
|
420
|
4 |
|
if ($this->parallel) { |
|
421
|
3 |
|
$task->setParallel($this->parallel); |
|
422
|
|
|
} |
|
423
|
|
|
|
|
424
|
4 |
|
if ($this->appendToExisting) { |
|
425
|
3 |
|
$task->setAppendToExisting($this->appendToExisting); |
|
426
|
|
|
} |
|
427
|
|
|
|
|
428
|
4 |
|
return $task; |
|
429
|
|
|
} |
|
430
|
|
|
|
|
431
|
|
|
/** |
|
432
|
|
|
* Call this with a closure. Your closure will receive a TransformBuilder, which allows you to |
|
433
|
|
|
* specify a transform which needs to be applied when this indexing job is executed. Optionally you can |
|
434
|
|
|
* also specify a filter on which records this transform needs to be applied. |
|
435
|
|
|
* |
|
436
|
|
|
* Note: calling this method more than once will overwrite the previous data! |
|
437
|
|
|
* |
|
438
|
|
|
* @param \Closure $transformBuilder |
|
439
|
|
|
* |
|
440
|
|
|
* @return $this |
|
441
|
|
|
*/ |
|
442
|
2 |
|
public function transform(Closure $transformBuilder): IndexTaskBuilder |
|
443
|
|
|
{ |
|
444
|
2 |
|
$builder = new TransformBuilder(); |
|
445
|
2 |
|
call_user_func($transformBuilder, $builder); |
|
446
|
|
|
|
|
447
|
2 |
|
if (!$builder->getTransforms()) { |
|
448
|
1 |
|
return $this; |
|
449
|
|
|
} |
|
450
|
|
|
|
|
451
|
1 |
|
$this->transformSpec = new TransformSpec( |
|
452
|
1 |
|
new TransformCollection(...$builder->getTransforms()), |
|
453
|
1 |
|
$builder->getFilter() |
|
454
|
|
|
); |
|
455
|
|
|
|
|
456
|
1 |
|
return $this; |
|
457
|
|
|
} |
|
458
|
|
|
|
|
459
|
|
|
/** |
|
460
|
|
|
* Enable rollup mode |
|
461
|
|
|
* |
|
462
|
|
|
* @return $this |
|
463
|
|
|
*/ |
|
464
|
2 |
|
public function rollup(): IndexTaskBuilder |
|
465
|
|
|
{ |
|
466
|
2 |
|
$this->rollup = true; |
|
467
|
|
|
|
|
468
|
2 |
|
return $this; |
|
469
|
|
|
} |
|
470
|
|
|
|
|
471
|
|
|
/** |
|
472
|
|
|
* @param \Level23\Druid\InputSources\InputSourceInterface $inputSource |
|
473
|
|
|
* |
|
474
|
|
|
* @return \Level23\Druid\Tasks\IndexTaskBuilder |
|
475
|
|
|
*/ |
|
476
|
2 |
|
public function inputSource(InputSourceInterface $inputSource): IndexTaskBuilder |
|
477
|
|
|
{ |
|
478
|
2 |
|
$this->inputSource = $inputSource; |
|
479
|
|
|
|
|
480
|
2 |
|
return $this; |
|
481
|
|
|
} |
|
482
|
|
|
|
|
483
|
|
|
/** |
|
484
|
|
|
* Execute this index task as parallel batch. |
|
485
|
|
|
* |
|
486
|
|
|
* @return \Level23\Druid\Tasks\IndexTaskBuilder |
|
487
|
|
|
*/ |
|
488
|
5 |
|
public function parallel(): IndexTaskBuilder |
|
489
|
|
|
{ |
|
490
|
5 |
|
$this->parallel = true; |
|
491
|
|
|
|
|
492
|
5 |
|
return $this; |
|
493
|
|
|
} |
|
494
|
|
|
|
|
495
|
|
|
/** |
|
496
|
|
|
* Specify that we want to use a UniformGranularity |
|
497
|
|
|
* |
|
498
|
|
|
* @return $this |
|
499
|
|
|
*/ |
|
500
|
4 |
|
public function uniformGranularity(): IndexTaskBuilder |
|
501
|
|
|
{ |
|
502
|
4 |
|
$this->granularityType = UniformGranularity::class; |
|
503
|
|
|
|
|
504
|
4 |
|
return $this; |
|
505
|
|
|
} |
|
506
|
|
|
|
|
507
|
|
|
/** |
|
508
|
|
|
* Specify that we want to use a ArbitraryGranularity |
|
509
|
|
|
* |
|
510
|
|
|
* @return $this |
|
511
|
|
|
*/ |
|
512
|
3 |
|
public function arbitraryGranularity(): IndexTaskBuilder |
|
513
|
|
|
{ |
|
514
|
3 |
|
$this->granularityType = ArbitraryGranularity::class; |
|
515
|
|
|
|
|
516
|
3 |
|
return $this; |
|
517
|
|
|
} |
|
518
|
|
|
|
|
519
|
|
|
/** |
|
520
|
|
|
* Creates segments as additional shards of the latest version, effectively appending to the segment set instead of |
|
521
|
|
|
* replacing it. This means that you can append new segments to any datasource regardless of its original |
|
522
|
|
|
* partitioning scheme. You must use the dynamic partitioning type for the appended segments. If you specify a |
|
523
|
|
|
* different partitioning type, the task fails with an error. |
|
524
|
|
|
* |
|
525
|
|
|
* @param bool $appendToExisting |
|
526
|
|
|
* |
|
527
|
|
|
* @return \Level23\Druid\Tasks\IndexTaskBuilder |
|
528
|
|
|
*/ |
|
529
|
6 |
|
public function appendToExisting(bool $appendToExisting = true): IndexTaskBuilder |
|
530
|
|
|
{ |
|
531
|
6 |
|
$this->appendToExisting = $appendToExisting; |
|
532
|
|
|
|
|
533
|
6 |
|
return $this; |
|
534
|
|
|
} |
|
535
|
|
|
} |
|
536
|
|
|
|
This check looks for calls to methods that do not seem to exist on a given type. It looks for the method on the type itself as well as in inherited classes or implemented interfaces.
This is most likely a typographical error or the method has been renamed.