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.gitignore

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scalastyle-output.xml
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R-unit-tests.log
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R/unit-tests.out
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python/lib/pyspark.zip
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# For Hive
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metastore_db/

.rat-excludes

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RELEASE
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control
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docs
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docker.properties.template
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fairscheduler.xml.template
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spark-defaults.conf.template
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log4j.properties
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log4j-defaults.properties
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bootstrap-tooltip.js
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jquery-1.11.1.min.js
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d3.min.js
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dagre-d3.min.js
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graphlib-dot.min.js
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sorttable.js
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vis.min.js
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vis.min.css
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vis.map
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.*avsc
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.*txt
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.*json
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.*scalastyle-output.xml
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.*dependency-reduced-pom.xml
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known_translations
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json_expectation
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local-1422981759269/*
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local-1422981780767/*
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local-1425081759269/*
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local-1426533911241/*
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local-1426633911242/*
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local-1430917381534/*
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DESCRIPTION
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NAMESPACE

LICENSE

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@@ -643,6 +643,36 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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========================================================================
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For d3 (core/src/main/resources/org/apache/spark/ui/static/d3.min.js):
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========================================================================
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Copyright (c) 2010-2015, Michael Bostock
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* The name Michael Bostock may not be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL MICHAEL BOSTOCK BE LIABLE FOR ANY DIRECT,
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INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
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EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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========================================================================
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For Scala Interpreter classes (all .scala files in repl/src/main/scala
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See the License for the specific language governing permissions and
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limitations under the License.
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========================================================================
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For vis.js (core/src/main/resources/org/apache/spark/ui/static/vis.min.js):
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========================================================================
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Copyright (C) 2010-2015 Almende B.V.
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Vis.js is dual licensed under both
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* The Apache 2.0 License
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http://www.apache.org/licenses/LICENSE-2.0
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and
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* The MIT License
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http://opensource.org/licenses/MIT
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Vis.js may be distributed under either license.
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========================================================================
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BSD-style licenses

R/pkg/DESCRIPTION

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Description: R frontend for Spark
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License: Apache License (== 2.0)
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Collate:
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'schema.R'
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'generics.R'
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'jobj.R'
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'RDD.R'
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'pairRDD.R'
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'schema.R'
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'column.R'
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'group.R'
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'DataFrame.R'

R/pkg/NAMESPACE

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#exportPattern("^[[:alpha:]]+")
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exportClasses("RDD")
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exportClasses("Broadcast")
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exportMethods(
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"aggregateByKey",
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"aggregateRDD",
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"cache",
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"cartesian",
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"checkpoint",
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"coalesce",
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"cogroup",
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"collect",
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"collectAsMap",
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"collectPartition",
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"combineByKey",
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"count",
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"countByKey",
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"countByValue",
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"distinct",
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"Filter",
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"filterRDD",
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"first",
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"flatMap",
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"flatMapValues",
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"fold",
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"foldByKey",
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"foreach",
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"foreachPartition",
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"fullOuterJoin",
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"glom",
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"groupByKey",
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"intersection",
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"join",
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"keyBy",
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"keys",
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"length",
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"lapply",
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"lapplyPartition",
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"lapplyPartitionsWithIndex",
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"leftOuterJoin",
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"lookup",
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"map",
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"mapPartitions",
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"mapPartitionsWithIndex",
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"mapValues",
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"maximum",
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"minimum",
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"numPartitions",
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"partitionBy",
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"persist",
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"pipeRDD",
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"reduce",
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"reduceByKey",
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"reduceByKeyLocally",
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"repartition",
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"rightOuterJoin",
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"sampleByKey",
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"sampleRDD",
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"saveAsTextFile",
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"saveAsObjectFile",
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"sortBy",
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"sortByKey",
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"subtract",
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"subtractByKey",
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"sumRDD",
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"take",
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"takeOrdered",
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"takeSample",
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"top",
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"unionRDD",
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"unpersist",
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"value",
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"values",
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"zipPartitions",
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"zipRDD",
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"zipWithIndex",
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"zipWithUniqueId"
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)
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# Imports from base R
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importFrom(methods, setGeneric, setMethod, setOldClass)
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useDynLib(SparkR, stringHashCode)
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# S3 methods exported
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export(
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"textFile",
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"objectFile",
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"parallelize",
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"hashCode",
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"includePackage",
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"broadcast",
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"setBroadcastValue",
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"setCheckpointDir"
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)
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export("sparkR.init")
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export("sparkR.stop")
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export("print.jobj")
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useDynLib(SparkR, stringHashCode)
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importFrom(methods, setGeneric, setMethod, setOldClass)
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# SparkRSQL
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exportClasses("DataFrame")
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exportMethods("columns",
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exportMethods("arrange",
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"cache",
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"collect",
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"columns",
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"count",
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"describe",
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"distinct",
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"dtypes",
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"except",
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"explain",
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"filter",
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"first",
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"group_by",
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"groupBy",
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"head",
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"insertInto",
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"intersect",
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"isLocal",
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"join",
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"limit",
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"orderBy",
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"mutate",
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"names",
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"persist",
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"printSchema",
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"registerTempTable",
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"rename",
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"repartition",
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"sampleDF",
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"sample_frac",
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"saveAsParquetFile",
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"saveAsTable",
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"saveDF",
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"selectExpr",
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"show",
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"showDF",
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"sortDF",
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"toJSON",
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"toRDD",
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"summarize",
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"take",
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"unionAll",
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"unpersist",
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"where",
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"withColumn",
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"withColumnRenamed")
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"max",
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"mean",
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"min",
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"n",
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"n_distinct",
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"rlike",
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"sqrt",
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"startsWith",
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"createExternalTable",
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"dropTempTable",
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"jsonFile",
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"jsonRDD",
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"loadDF",
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"parquetFile",
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"sql",
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"table",
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"tableNames",
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"tables",
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"toDF",
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"uncacheTable")
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export("sparkRSQL.init",
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"sparkRHive.init")
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export("structField",
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"structField.jobj",
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"structField.character",

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