[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-11-06 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15641625#comment-15641625
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user ravipesala commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r86684118
  
--- Diff: 
integration/spark/src/main/scala/org/apache/carbondata/spark/rdd/NewCarbonDataLoadRDD.scala
 ---
@@ -0,0 +1,281 @@
+/*
+ * 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.carbondata.spark.rdd
+
+import java.lang.Long
+import java.text.SimpleDateFormat
+import java.util
+import java.util.{Date, UUID}
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.io.NullWritable
+import org.apache.hadoop.mapreduce.RecordReader
+import org.apache.spark.{Logging, Partition, SparkContext, TaskContext}
+import org.apache.spark.mapred.{CarbonHadoopMapReduceUtil, 
CarbonSerializableConfiguration}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.execution.command.Partitioner
+import org.apache.spark.util.SerializableConfiguration
+
+import org.apache.carbondata.common.logging.LogServiceFactory
+import org.apache.carbondata.common.logging.impl.StandardLogService
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.load.{BlockDetails, LoadMetadataDetails}
+import org.apache.carbondata.core.util.CarbonTimeStatisticsFactory
+import org.apache.carbondata.hadoop.csv.CSVInputFormat
+import org.apache.carbondata.hadoop.io.StringArrayWritable
+import org.apache.carbondata.processing.graphgenerator.GraphGenerator
+import org.apache.carbondata.spark.DataLoadResult
+import org.apache.carbondata.spark.load._
+import org.apache.carbondata.spark.splits.TableSplit
+import org.apache.carbondata.spark.util.CarbonQueryUtil
+
+/**
+ * It loads the data to carbon using @AbstractDataLoadProcessorStep
+ */
+class NewCarbonDataLoadRDD[K, V](
+sc: SparkContext,
+result: DataLoadResult[K, V],
+carbonLoadModel: CarbonLoadModel,
+var storeLocation: String,
+hdfsStoreLocation: String,
+kettleHomePath: String,
+partitioner: Partitioner,
+columinar: Boolean,
+loadCount: Integer,
+tableCreationTime: Long,
+schemaLastUpdatedTime: Long,
+blocksGroupBy: Array[(String, Array[BlockDetails])],
+isTableSplitPartition: Boolean)
+  extends RDD[(K, V)](sc, Nil) with CarbonHadoopMapReduceUtil with Logging 
{
+
+  sc.setLocalProperty("spark.scheduler.pool", "DDL")
+
+  private val jobTrackerId: String = {
+val formatter = new SimpleDateFormat("MMddHHmm")
+formatter.format(new Date())
+  }
+
+  // A Hadoop Configuration can be about 10 KB, which is pretty big, so 
broadcast it
+  private val confBroadcast =
+sc.broadcast(new 
CarbonSerializableConfiguration(sc.hadoopConfiguration))
+
+  override def getPartitions: Array[Partition] = {
+if (isTableSplitPartition) {
+  // for table split partition
+  var splits = Array[TableSplit]()
+
+  if (carbonLoadModel.isDirectLoad) {
+splits = 
CarbonQueryUtil.getTableSplitsForDirectLoad(carbonLoadModel.getFactFilePath,
+  partitioner.nodeList, partitioner.partitionCount)
+  }
+  else {
+splits = 
CarbonQueryUtil.getTableSplits(carbonLoadModel.getDatabaseName,
+  carbonLoadModel.getTableName, null, partitioner)
+  }
+
+  splits.zipWithIndex.map { s =>
+// filter the same partition unique id, because only one will 
match, so get 0 element
+val blocksDetails: Array[BlockDetails] = blocksGroupBy.filter(p =>
+  p._1 == s._1.getPartition.getUniqueID)(0)._2
+new CarbonTableSplitPartition(id, s._2,

[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-11-06 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15641585#comment-15641585
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user ravipesala commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r86683747
  
--- Diff: 
integration/spark/src/main/scala/org/apache/carbondata/spark/rdd/NewCarbonDataLoadRDD.scala
 ---
@@ -0,0 +1,281 @@
+/*
+ * 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.carbondata.spark.rdd
+
+import java.lang.Long
+import java.text.SimpleDateFormat
+import java.util
+import java.util.{Date, UUID}
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.io.NullWritable
+import org.apache.hadoop.mapreduce.RecordReader
+import org.apache.spark.{Logging, Partition, SparkContext, TaskContext}
+import org.apache.spark.mapred.{CarbonHadoopMapReduceUtil, 
CarbonSerializableConfiguration}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.execution.command.Partitioner
+import org.apache.spark.util.SerializableConfiguration
+
+import org.apache.carbondata.common.logging.LogServiceFactory
+import org.apache.carbondata.common.logging.impl.StandardLogService
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.load.{BlockDetails, LoadMetadataDetails}
+import org.apache.carbondata.core.util.CarbonTimeStatisticsFactory
+import org.apache.carbondata.hadoop.csv.CSVInputFormat
+import org.apache.carbondata.hadoop.io.StringArrayWritable
+import org.apache.carbondata.processing.graphgenerator.GraphGenerator
+import org.apache.carbondata.spark.DataLoadResult
+import org.apache.carbondata.spark.load._
+import org.apache.carbondata.spark.splits.TableSplit
+import org.apache.carbondata.spark.util.CarbonQueryUtil
+
+/**
+ * It loads the data to carbon using @AbstractDataLoadProcessorStep
+ */
+class NewCarbonDataLoadRDD[K, V](
+sc: SparkContext,
+result: DataLoadResult[K, V],
+carbonLoadModel: CarbonLoadModel,
+var storeLocation: String,
+hdfsStoreLocation: String,
+kettleHomePath: String,
+partitioner: Partitioner,
+columinar: Boolean,
+loadCount: Integer,
+tableCreationTime: Long,
+schemaLastUpdatedTime: Long,
+blocksGroupBy: Array[(String, Array[BlockDetails])],
+isTableSplitPartition: Boolean)
+  extends RDD[(K, V)](sc, Nil) with CarbonHadoopMapReduceUtil with Logging 
{
+
+  sc.setLocalProperty("spark.scheduler.pool", "DDL")
+
+  private val jobTrackerId: String = {
+val formatter = new SimpleDateFormat("MMddHHmm")
+formatter.format(new Date())
+  }
+
+  // A Hadoop Configuration can be about 10 KB, which is pretty big, so 
broadcast it
+  private val confBroadcast =
+sc.broadcast(new 
CarbonSerializableConfiguration(sc.hadoopConfiguration))
+
+  override def getPartitions: Array[Partition] = {
+if (isTableSplitPartition) {
+  // for table split partition
+  var splits = Array[TableSplit]()
--- End diff --

ok


> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>  Components: data-load
>Reporter: Liang Chen
>Priority: Critical
>  Labels: features
> Fix For: 0.3.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-11-05 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15639794#comment-15639794
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user jackylk commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r8739
  
--- Diff: 
integration/spark/src/main/scala/org/apache/spark/sql/execution/command/carbonTableSchema.scala
 ---
@@ -1198,10 +1172,16 @@ case class LoadTableUsingKettle(
 GlobalDictionaryUtil
   .generateGlobalDictionary(sqlContext, carbonLoadModel, 
relation.tableMeta.storePath,
 dataFrame)
-CarbonDataRDDFactory
-  .loadCarbonData(sqlContext, carbonLoadModel, storeLocation, 
relation.tableMeta.storePath,
+CarbonDataRDDFactory.loadCarbonData(sqlContext,
+carbonLoadModel,
+storeLocation,
+relation.tableMeta.storePath,
--- End diff --

why there are two storeLocation?


> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>  Components: data-load
>Reporter: Liang Chen
>Priority: Critical
>  Labels: features
> Fix For: 0.3.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-11-05 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15639710#comment-15639710
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user jackylk commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r86665773
  
--- Diff: 
integration/spark/src/main/scala/org/apache/carbondata/spark/rdd/NewCarbonDataLoadRDD.scala
 ---
@@ -0,0 +1,281 @@
+/*
+ * 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.carbondata.spark.rdd
+
+import java.lang.Long
+import java.text.SimpleDateFormat
+import java.util
+import java.util.{Date, UUID}
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.io.NullWritable
+import org.apache.hadoop.mapreduce.RecordReader
+import org.apache.spark.{Logging, Partition, SparkContext, TaskContext}
+import org.apache.spark.mapred.{CarbonHadoopMapReduceUtil, 
CarbonSerializableConfiguration}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.execution.command.Partitioner
+import org.apache.spark.util.SerializableConfiguration
+
+import org.apache.carbondata.common.logging.LogServiceFactory
+import org.apache.carbondata.common.logging.impl.StandardLogService
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.load.{BlockDetails, LoadMetadataDetails}
+import org.apache.carbondata.core.util.CarbonTimeStatisticsFactory
+import org.apache.carbondata.hadoop.csv.CSVInputFormat
+import org.apache.carbondata.hadoop.io.StringArrayWritable
+import org.apache.carbondata.processing.graphgenerator.GraphGenerator
+import org.apache.carbondata.spark.DataLoadResult
+import org.apache.carbondata.spark.load._
+import org.apache.carbondata.spark.splits.TableSplit
+import org.apache.carbondata.spark.util.CarbonQueryUtil
+
+/**
+ * It loads the data to carbon using @AbstractDataLoadProcessorStep
+ */
+class NewCarbonDataLoadRDD[K, V](
+sc: SparkContext,
+result: DataLoadResult[K, V],
+carbonLoadModel: CarbonLoadModel,
+var storeLocation: String,
+hdfsStoreLocation: String,
+kettleHomePath: String,
+partitioner: Partitioner,
+columinar: Boolean,
+loadCount: Integer,
+tableCreationTime: Long,
+schemaLastUpdatedTime: Long,
+blocksGroupBy: Array[(String, Array[BlockDetails])],
+isTableSplitPartition: Boolean)
+  extends RDD[(K, V)](sc, Nil) with CarbonHadoopMapReduceUtil with Logging 
{
+
+  sc.setLocalProperty("spark.scheduler.pool", "DDL")
+
+  private val jobTrackerId: String = {
+val formatter = new SimpleDateFormat("MMddHHmm")
+formatter.format(new Date())
+  }
+
+  // A Hadoop Configuration can be about 10 KB, which is pretty big, so 
broadcast it
+  private val confBroadcast =
+sc.broadcast(new 
CarbonSerializableConfiguration(sc.hadoopConfiguration))
+
+  override def getPartitions: Array[Partition] = {
+if (isTableSplitPartition) {
+  // for table split partition
+  var splits = Array[TableSplit]()
+
+  if (carbonLoadModel.isDirectLoad) {
+splits = 
CarbonQueryUtil.getTableSplitsForDirectLoad(carbonLoadModel.getFactFilePath,
+  partitioner.nodeList, partitioner.partitionCount)
+  }
+  else {
+splits = 
CarbonQueryUtil.getTableSplits(carbonLoadModel.getDatabaseName,
+  carbonLoadModel.getTableName, null, partitioner)
+  }
+
+  splits.zipWithIndex.map { s =>
+// filter the same partition unique id, because only one will 
match, so get 0 element
+val blocksDetails: Array[BlockDetails] = blocksGroupBy.filter(p =>
+  p._1 == s._1.getPartition.getUniqueID)(0)._2
+new CarbonTableSplitPartition(id, s._2,

[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-11-05 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15639584#comment-15639584
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user jackylk commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r86664148
  
--- Diff: 
integration/spark/src/main/scala/org/apache/carbondata/spark/rdd/NewCarbonDataLoadRDD.scala
 ---
@@ -0,0 +1,281 @@
+/*
+ * 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.carbondata.spark.rdd
+
+import java.lang.Long
+import java.text.SimpleDateFormat
+import java.util
+import java.util.{Date, UUID}
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.io.NullWritable
+import org.apache.hadoop.mapreduce.RecordReader
+import org.apache.spark.{Logging, Partition, SparkContext, TaskContext}
+import org.apache.spark.mapred.{CarbonHadoopMapReduceUtil, 
CarbonSerializableConfiguration}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.execution.command.Partitioner
+import org.apache.spark.util.SerializableConfiguration
+
+import org.apache.carbondata.common.logging.LogServiceFactory
+import org.apache.carbondata.common.logging.impl.StandardLogService
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.load.{BlockDetails, LoadMetadataDetails}
+import org.apache.carbondata.core.util.CarbonTimeStatisticsFactory
+import org.apache.carbondata.hadoop.csv.CSVInputFormat
+import org.apache.carbondata.hadoop.io.StringArrayWritable
+import org.apache.carbondata.processing.graphgenerator.GraphGenerator
+import org.apache.carbondata.spark.DataLoadResult
+import org.apache.carbondata.spark.load._
+import org.apache.carbondata.spark.splits.TableSplit
+import org.apache.carbondata.spark.util.CarbonQueryUtil
+
+/**
+ * It loads the data to carbon using @AbstractDataLoadProcessorStep
+ */
+class NewCarbonDataLoadRDD[K, V](
+sc: SparkContext,
+result: DataLoadResult[K, V],
+carbonLoadModel: CarbonLoadModel,
+var storeLocation: String,
+hdfsStoreLocation: String,
+kettleHomePath: String,
+partitioner: Partitioner,
+columinar: Boolean,
+loadCount: Integer,
+tableCreationTime: Long,
+schemaLastUpdatedTime: Long,
+blocksGroupBy: Array[(String, Array[BlockDetails])],
+isTableSplitPartition: Boolean)
+  extends RDD[(K, V)](sc, Nil) with CarbonHadoopMapReduceUtil with Logging 
{
+
+  sc.setLocalProperty("spark.scheduler.pool", "DDL")
+
+  private val jobTrackerId: String = {
+val formatter = new SimpleDateFormat("MMddHHmm")
+formatter.format(new Date())
+  }
+
+  // A Hadoop Configuration can be about 10 KB, which is pretty big, so 
broadcast it
+  private val confBroadcast =
+sc.broadcast(new 
CarbonSerializableConfiguration(sc.hadoopConfiguration))
+
+  override def getPartitions: Array[Partition] = {
+if (isTableSplitPartition) {
+  // for table split partition
+  var splits = Array[TableSplit]()
--- End diff --

unnecessary initialization


> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>  Components: data-load
>Reporter: Liang Chen
>Priority: Critical
>  Labels: features
> Fix For: 0.3.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-10-31 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15622411#comment-15622411
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user jackylk commented on a diff in the pull request:

https://github.com/apache/incubator-carbondata/pull/263#discussion_r85757712
  
--- Diff: 
integration/spark/src/main/java/org/apache/carbondata/spark/load/CarbonLoaderUtil.java
 ---
@@ -213,6 +224,64 @@ public static void executeGraph(CarbonLoadModel 
loadModel, String storeLocation,
 info, loadModel.getPartitionId(), 
loadModel.getCarbonDataLoadSchema());
   }
 
+  public static void executeNewDataLoad(CarbonLoadModel loadModel, String 
storeLocation,
+  String hdfsStoreLocation, RecordReader[] recordReaders)
+  throws Exception {
+if (!new File(storeLocation).mkdirs()) {
+  LOGGER.error("Error while creating the temp store path: " + 
storeLocation);
+}
+CarbonDataLoadConfiguration configuration = new 
CarbonDataLoadConfiguration();
+String databaseName = loadModel.getDatabaseName();
+String tableName = loadModel.getTableName();
+String tempLocationKey = databaseName + 
CarbonCommonConstants.UNDERSCORE + tableName
++ CarbonCommonConstants.UNDERSCORE + loadModel.getTaskNo();
+CarbonProperties.getInstance().addProperty(tempLocationKey, 
storeLocation);
+CarbonProperties.getInstance()
+.addProperty(CarbonCommonConstants.STORE_LOCATION_HDFS, 
hdfsStoreLocation);
+// CarbonProperties.getInstance().addProperty("store_output_location", 
outPutLoc);
+CarbonProperties.getInstance().addProperty("send.signal.load", 
"false");
+
+CarbonTable carbonTable = 
loadModel.getCarbonDataLoadSchema().getCarbonTable();
+AbsoluteTableIdentifier identifier =
+carbonTable.getAbsoluteTableIdentifier();
+configuration.setTableIdentifier(identifier);
+String csvHeader = loadModel.getCsvHeader();
+if (csvHeader != null && !csvHeader.isEmpty()) {
+  
configuration.setHeader(CarbonDataProcessorUtil.getColumnFields(csvHeader, 
","));
+} else {
+  CarbonFile csvFile =
+  
CarbonDataProcessorUtil.getCsvFileToRead(loadModel.getFactFilesToProcess().get(0));
+  configuration
+  .setHeader(CarbonDataProcessorUtil.getFileHeader(csvFile, 
loadModel.getCsvDelimiter()));
+}
+
+configuration.setPartitionId(loadModel.getPartitionId());
+configuration.setSegmentId(loadModel.getSegmentId());
+configuration.setTaskNo(loadModel.getTaskNo());
+
configuration.setDataLoadProperty(DataLoadProcessorConstants.COMPLEX_DELIMITERS,
+new String[] { loadModel.getComplexDelimiterLevel1(),
+loadModel.getComplexDelimiterLevel2() });
+List dimensions =
+
carbonTable.getDimensionByTableName(carbonTable.getFactTableName());
+List measures =
+carbonTable.getMeasureByTableName(carbonTable.getFactTableName());
+DataField[] dataFields = new DataField[dimensions.size() + 
measures.size()];
+
+int i = 0;
+for (CarbonColumn column : dimensions) {
+  dataFields[i++] = new DataField(column);
+}
+for (CarbonColumn column : measures) {
+  dataFields[i++] = new DataField(column);
+}
+Iterator[] iterators = new RecordReaderIterator[recordReaders.length];
+configuration.setDataFields(dataFields);
+for (int j = 0; j < recordReaders.length; j++) {
+  iterators[j] = new RecordReaderIterator(recordReaders[j]);
+}
+new DataLoadProcessExecutor().execute(configuration, iterators);
--- End diff --

should have a CarbonTableOutputFormat and use it here, right?


> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>Reporter: Liang Chen
>Priority: Critical
> Fix For: 0.3.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-10-27 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15611774#comment-15611774
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

GitHub user ravipesala opened a pull request:

https://github.com/apache/incubator-carbondata/pull/263

[CARBONDATA-2][WIP] Data load integration of all steps for removing kettle

This PR integrates all data load steps to the main flow. 
Still DataWriterStep need to be integrated.And testing is pending.

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/ravipesala/incubator-carbondata 
data-load-integration

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/incubator-carbondata/pull/263.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #263


commit c4bd3a14e3e1f437d365c9f9e4dc21b2d69f56ec
Author: ravipesala 
Date:   2016-10-27T03:44:32Z

WIP Integrating new dataloading flow

commit 6aa1e738c02e2906b43b372bcad0ed8096962ddf
Author: ravipesala 
Date:   2016-10-27T12:41:11Z

Integrated data processor steps to new flow.




> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>Reporter: Liang Chen
>Priority: Critical
> Fix For: 0.3.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-10-10 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15564364#comment-15564364
 ] 

ASF GitHub Bot commented on CARBONDATA-2:
-

Github user ravipesala closed the pull request at:

https://github.com/apache/incubator-carbondata/pull/215


> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>Reporter: ChenLiang
>Priority: Critical
> Fix For: 0.2.0-incubating
>
> Attachments: CarbonDataLoadingdesign.pdf
>
>
> Remove kettle for loading data module



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[jira] [Commented] (CARBONDATA-2) Remove kettle for loading data

2016-09-07 Thread Ravindra Pesala (JIRA) 

[ 
https://issues.apache.org/jira/browse/CARBONDATA-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15470704#comment-15470704
 ] 

Ravindra Pesala commented on CARBONDATA-2:
--

https://docs.google.com/document/d/1Zg_e2R1RqHlvmOLp1K19qfwzdHBZrx0ol7aO-ypgbeM/edit?usp=sharing

> Remove kettle for loading data
> --
>
> Key: CARBONDATA-2
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2
> Project: CarbonData
>  Issue Type: Improvement
>Reporter: ChenLiang
>Priority: Critical
> Fix For: 0.2.0-incubating
>
>
> Remove kettle for loading data module



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