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Adding range based pruning to bloom index

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- keys compared lexicographically using String::compareTo
 - Range metadata additionally written into parquet file footers
 - Trim fat & few optimizations to speed up indexing
 - Add param to control whether input shall be cached, to speed up lookup
 - Add param to turn on/off range pruning
 - Auto compute of parallelism now simply factors in amount of comparisons done
 - More accurate parallelism computation when range pruning is on
 - tests added & hardened, docs updated
This commit is contained in:
Vinoth Chandar
2017-07-14 09:29:16 -07:00
committed by prazanna
parent 0b26b60a5c
commit 86209640f7
25 changed files with 784 additions and 473 deletions
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3
hoodie-client/src/main/java/com/uber/hoodie/HoodieReadClient.java
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@@ -30,7 +30,7 @@ import com.uber.hoodie.common.table.view.HoodieTableFileSystemView;
import com.uber.hoodie.common.util.FSUtils;
import com.uber.hoodie.config.HoodieWriteConfig;
import com.uber.hoodie.exception.HoodieException;
import com.uber.hoodie.index.HoodieBloomIndex;
import com.uber.hoodie.index.bloom.HoodieBloomIndex;
import com.uber.hoodie.table.HoodieTable;
@@ -50,7 +50,6 @@ import org.apache.spark.sql.types.StructType;
import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;