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DRILL-6454: Native MapR DB plugin support for Hive MapR-DB json table
closes #1314
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186
...apache/drill/exec/planner/sql/logical/ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan.java
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/* | |||
* Licensed to the Apache Software Foundation (ASF) under one | |||
* or more contributor license agreements. See the NOTICE file | |||
* distributed with this work for additional information | |||
* regarding copyright ownership. The ASF licenses this file | |||
* to you under the Apache License, Version 2.0 (the | |||
* "License"); you may not use this file except in compliance | |||
* with the License. You may obtain a copy of the License at | |||
* | |||
* http://www.apache.org/licenses/LICENSE-2.0 | |||
* | |||
* Unless required by applicable law or agreed to in writing, software | |||
* distributed under the License is distributed on an "AS IS" BASIS, | |||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
* See the License for the specific language governing permissions and | |||
* limitations under the License. | |||
*/ | |||
package org.apache.drill.exec.planner.sql.logical; | |||
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import org.apache.calcite.plan.RelOptRuleCall; | |||
import org.apache.calcite.rel.type.RelDataType; | |||
import org.apache.calcite.rel.type.RelDataTypeFactory; | |||
import org.apache.calcite.rel.type.RelDataTypeField; | |||
import org.apache.drill.common.exceptions.UserException; | |||
import org.apache.drill.common.expression.SchemaPath; | |||
import org.apache.drill.exec.ExecConstants; | |||
import org.apache.drill.exec.planner.logical.DrillScanRel; | |||
import org.apache.drill.exec.planner.logical.RelOptHelper; | |||
import org.apache.drill.exec.store.StoragePluginOptimizerRule; | |||
import org.apache.drill.exec.store.hive.HiveMetadataProvider; | |||
import org.apache.drill.exec.store.hive.HiveReadEntry; | |||
import org.apache.drill.exec.store.hive.HiveScan; | |||
import org.apache.drill.exec.store.mapr.db.MapRDBFormatPlugin; | |||
import org.apache.drill.exec.store.mapr.db.MapRDBFormatPluginConfig; | |||
import org.apache.drill.exec.store.mapr.db.json.JsonScanSpec; | |||
import org.apache.drill.exec.store.mapr.db.json.JsonTableGroupScan; | |||
import org.ojai.DocumentConstants; | |||
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import java.util.List; | |||
import java.util.Map; | |||
import java.util.stream.Collectors; | |||
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import static org.apache.drill.exec.store.hive.HiveUtilities.nativeReadersRuleMatches; | |||
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/** | |||
* Convert Hive scan to use Drill's native MapR-DB reader instead of Hive's MapR-DB JSON Handler. | |||
*/ | |||
public class ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan extends StoragePluginOptimizerRule { | |||
private static final org.slf4j.Logger logger = | |||
org.slf4j.LoggerFactory.getLogger(ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan.class); | |||
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public static final ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan INSTANCE = | |||
new ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan(); | |||
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/** | |||
* The constants from org.apache.hadoop.hive.maprdb.json.conf.MapRDBConstants | |||
*/ | |||
private static final String MAPRDB_PFX = "maprdb."; | |||
private static final String MAPRDB_TABLE_NAME = MAPRDB_PFX + "table.name"; | |||
private static final String ID_KEY = DocumentConstants.ID_KEY; | |||
private static final String MAPRDB_COLUMN_ID = MAPRDB_PFX + "column.id"; | |||
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private ConvertHiveMapRDBJsonScanToDrillMapRDBJsonScan() { | |||
super(RelOptHelper.any(DrillScanRel.class), "ConvertHiveScanToHiveDrillNativeScan:MapR-DB"); | |||
} | |||
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/** | |||
* {@see org.apache.drill.exec.store.hive.HiveUtilities#nativeReadersRuleMatches} | |||
*/ | |||
@Override | |||
public boolean matches(RelOptRuleCall call) { | |||
try { | |||
return nativeReadersRuleMatches(call, | |||
Class.forName("org.apache.hadoop.hive.maprdb.json.input.HiveMapRDBJsonInputFormat")); | |||
} catch (ClassNotFoundException e) { | |||
throw UserException.resourceError(e) | |||
.message("Current Drill build is not designed for working with Hive MapR-DB tables. " + | |||
"Please disable \"%s\" option", ExecConstants.HIVE_OPTIMIZE_MAPRDB_JSON_SCAN_WITH_NATIVE_READER) | |||
.build(logger); | |||
} | |||
} | |||
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@Override | |||
public void onMatch(RelOptRuleCall call) { | |||
try { | |||
DrillScanRel hiveScanRel = call.rel(0); | |||
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HiveScan hiveScan = (HiveScan) hiveScanRel.getGroupScan(); | |||
HiveReadEntry hiveReadEntry = hiveScan.getHiveReadEntry(); | |||
HiveMetadataProvider hiveMetadataProvider = new HiveMetadataProvider(hiveScan.getUserName(), hiveReadEntry, | |||
hiveScan.getStoragePlugin().getHiveConf()); | |||
if (hiveMetadataProvider.getInputSplits(hiveReadEntry).isEmpty()) { | |||
// table is empty, use original scan | |||
return; | |||
} | |||
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if (hiveScan.getHiveReadEntry().getTable().isSetPartitionKeys()) { | |||
logger.warn("Hive MapR-DB JSON Handler doesn't support table partitioning. Consider recreating table without " + | |||
"partitions"); | |||
} | |||
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DrillScanRel nativeScanRel = createNativeScanRel(hiveScanRel); | |||
call.transformTo(nativeScanRel); | |||
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/* | |||
Drill native scan should take precedence over Hive since it's more efficient and faster. | |||
Hive does not always give correct costing (i.e. for external tables Hive does not have number of rows | |||
and we calculate them approximately). On the contrary, Drill calculates number of rows exactly | |||
and thus Hive Scan can be chosen instead of Drill native scan because costings allegedly lower for Hive. | |||
To ensure Drill MapR-DB Json scan will be chosen, reduce Hive scan importance to 0. | |||
*/ | |||
call.getPlanner().setImportance(hiveScanRel, 0.0); | |||
} catch (final Exception e) { | |||
logger.warn("Failed to convert HiveScan to JsonScanSpec", e); | |||
} | |||
} | |||
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/** | |||
* Helper method which creates a DrillScanRel with native Drill HiveScan. | |||
*/ | |||
private DrillScanRel createNativeScanRel(final DrillScanRel hiveScanRel) throws Exception { | |||
RelDataTypeFactory typeFactory = hiveScanRel.getCluster().getTypeFactory(); | |||
HiveScan hiveScan = (HiveScan) hiveScanRel.getGroupScan(); | |||
Map<String, String> parameters = hiveScan.getHiveReadEntry().getHiveTableWrapper().getParameters(); | |||
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JsonScanSpec scanSpec = new JsonScanSpec(parameters.get(MAPRDB_TABLE_NAME), null); | |||
MapRDBFormatPlugin mapRDBFormatPlugin = new MapRDBFormatPlugin( | |||
"hive-maprdb", | |||
hiveScan.getStoragePlugin().getContext(), | |||
hiveScan.getHiveConf(), | |||
hiveScan.getStoragePlugin().getConfig(), | |||
new MapRDBFormatPluginConfig() | |||
); | |||
List<SchemaPath> hiveScanCols = hiveScanRel.getColumns().stream() | |||
.map(colNameSchemaPath -> replaceOverriddenSchemaPath(parameters, colNameSchemaPath)) | |||
.collect(Collectors.toList()); | |||
JsonTableGroupScan nariveMapRDBScan = | |||
new JsonTableGroupScan( | |||
hiveScan.getUserName(), | |||
hiveScan.getStoragePlugin(), | |||
mapRDBFormatPlugin, | |||
scanSpec, | |||
hiveScanCols | |||
); | |||
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List<String> nativeScanColNames = hiveScanRel.getRowType().getFieldList().stream() | |||
.map(field -> replaceOverriddenColumnId(parameters, field.getName())) | |||
.collect(Collectors.toList()); | |||
List<RelDataType> nativeScanColTypes = hiveScanRel.getRowType().getFieldList().stream() | |||
.map(RelDataTypeField::getType) | |||
.collect(Collectors.toList()); | |||
RelDataType nativeScanRowType = typeFactory.createStructType(nativeScanColTypes, nativeScanColNames); | |||
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return new DrillScanRel( | |||
hiveScanRel.getCluster(), | |||
hiveScanRel.getTraitSet(), | |||
hiveScanRel.getTable(), | |||
nariveMapRDBScan, | |||
nativeScanRowType, | |||
hiveScanCols); | |||
} | |||
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/** | |||
* Hive maps column id "_id" with custom user column id name. Replace it for {@link DrillScanRel} | |||
* | |||
* @param parameters Hive table properties | |||
* @param colName Hive column name | |||
* @return original column name, null if colName is absent | |||
*/ | |||
private String replaceOverriddenColumnId(Map<String, String> parameters, String colName) { | |||
return colName != null && colName.equals(parameters.get(MAPRDB_COLUMN_ID)) ? ID_KEY : colName; | |||
} | |||
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/** | |||
* The same as above, but for {@link SchemaPath} object | |||
* | |||
* @param parameters Hive table properties | |||
* @param colNameSchemaPath SchemaPath with Hive column name | |||
* @return SchemaPath with original column name | |||
*/ | |||
private SchemaPath replaceOverriddenSchemaPath(Map<String, String> parameters, SchemaPath colNameSchemaPath) { | |||
String hiveColumnName = colNameSchemaPath.getRootSegmentPath(); | |||
return hiveColumnName != null && hiveColumnName.equals(parameters.get(MAPRDB_COLUMN_ID)) | |||
? SchemaPath.getSimplePath(ID_KEY) : colNameSchemaPath; | |||
} | |||
} |
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