diff --git a/conf/hive-default.xml b/conf/hive-default.xml
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+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
+
+<configuration>
+
+	<!-- Hive Configuration can either be stored in this file or in the hadoop 
+		configuration files -->
+	<!-- that are implied by Hadoop setup variables. -->
+	<!-- Aside from Hadoop setup variables - this file is provided as a convenience 
+		so that Hive -->
+	<!-- users do not have to edit hadoop configuration files (that may be managed 
+		as a centralized -->
+	<!-- resource). -->
+
+	<!-- Hive Execution Parameters -->
+	<property>
+		<name>mapred.reduce.tasks</name>
+		<value>-1</value>
+		<description>The default number of reduce tasks per job. Typically set
+			to a prime close to the number of available hosts. Ignored when
+			mapred.job.tracker is "local". Hadoop set this to 1 by default,
+			whereas hive uses -1 as its default value.
+			By setting this property to -1, Hive will automatically figure out what
+			should be the number of reducers.
+  </description>
+	</property>
+
+	<property>
+		<name>hive.hyracks.host</name>
+		<value>128.195.14.4</value>
+	</property>
+
+	<property>
+		<name>hive.hyracks.port</name>
+		<value>3099</value>
+	</property>
+
+	<property>
+		<name>hive.hyracks.app</name>
+		<value>hivesterix</value>
+	</property>
+
+	<property>
+		<name>hive.hyracks.parrallelism</name>
+		<value>4</value>
+	</property>
+
+	<property>
+		<name>hive.algebricks.groupby.external</name>
+		<value>true</value>
+	</property>
+	
+	<property>
+		<name>hive.algebricks.groupby.external.memory</name>
+		<value>536870912</value>
+	</property>
+	
+	<property>
+		<name>hive.algebricks.sort.memory</name>
+		<value>536870912</value>
+	</property>
+
+	<property>
+		<name>hive.exec.reducers.bytes.per.reducer</name>
+		<value>1000000000</value>
+		<description>size per reducer.The default is 1G, i.e if the input size
+			is 10G, it will use 10 reducers.</description>
+	</property>
+
+	<property>
+		<name>hive.exec.reducers.max</name>
+		<value>999</value>
+		<description>max number of reducers will be used. If the one
+			specified in the configuration parameter mapred.reduce.tasks is
+			negative, hive will use this one as the max number of reducers when
+			automatically determine number of reducers.</description>
+	</property>
+
+	<property>
+		<name>hive.exec.scratchdir</name>
+		<value>/hive-${user.name}</value>
+		<description>Scratch space for Hive jobs</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode</name>
+		<value>false</value>
+		<description>whether hive is running in test mode. If yes, it turns on
+			sampling and prefixes the output tablename</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode.prefix</name>
+		<value>test_</value>
+		<description>if hive is running in test mode, prefixes the output
+			table by this string</description>
+	</property>
+
+	<!-- If the input table is not bucketed, the denominator of the tablesample 
+		is determinied by the parameter below -->
+	<!-- For example, the following query: -->
+	<!-- INSERT OVERWRITE TABLE dest -->
+	<!-- SELECT col1 from src -->
+	<!-- would be converted to -->
+	<!-- INSERT OVERWRITE TABLE test_dest -->
+	<!-- SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1)) -->
+	<property>
+		<name>hive.test.mode.samplefreq</name>
+		<value>32</value>
+		<description>if hive is running in test mode and table is not
+			bucketed, sampling frequency</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode.nosamplelist</name>
+		<value></value>
+		<description>if hive is running in test mode, dont sample the above
+			comma seperated list of tables</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.local</name>
+		<value>true</value>
+		<description>controls whether to connect to remove metastore server or
+			open a new metastore server in Hive Client JVM</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionURL</name>
+		<value>jdbc:derby:;databaseName=metastore_db;create=true</value>
+		<description>JDBC connect string for a JDBC metastore</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionDriverName</name>
+		<value>org.apache.derby.jdbc.EmbeddedDriver</value>
+		<description>Driver class name for a JDBC metastore</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.PersistenceManagerFactoryClass</name>
+		<value>org.datanucleus.jdo.JDOPersistenceManagerFactory</value>
+		<description>class implementing the jdo persistence</description>
+	</property>
+
+	<property>
+		<name>datanucleus.connectionPoolingType</name>
+		<value>DBCP</value>
+		<description>Uses a DBCP connection pool for JDBC metastore
+		</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.DetachAllOnCommit</name>
+		<value>true</value>
+		<description>detaches all objects from session so that they can be
+			used after transaction is committed</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.NonTransactionalRead</name>
+		<value>true</value>
+		<description>reads outside of transactions</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionUserName</name>
+		<value>APP</value>
+		<description>username to use against metastore database</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionPassword</name>
+		<value>mine</value>
+		<description>password to use against metastore database</description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateTables</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema </description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateColumns</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema </description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateConstraints</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema </description>
+	</property>
+
+	<property>
+		<name>datanucleus.storeManagerType</name>
+		<value>rdbms</value>
+		<description>metadata store type</description>
+	</property>
+
+	<property>
+		<name>datanucleus.autoCreateSchema</name>
+		<value>true</value>
+		<description>creates necessary schema on a startup if one doesn't
+			exist. set this to false, after creating it once</description>
+	</property>
+
+	<property>
+		<name>datanucleus.autoStartMechanismMode</name>
+		<value>checked</value>
+		<description>throw exception if metadata tables are incorrect
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.transactionIsolation</name>
+		<value>read-committed</value>
+		<description>Default transaction isolation level for identity
+			generation. </description>
+	</property>
+
+	<property>
+		<name>datanucleus.cache.level2</name>
+		<value>false</value>
+		<description>Use a level 2 cache. Turn this off if metadata is changed
+			independently of hive metastore server</description>
+	</property>
+
+	<property>
+		<name>datanucleus.cache.level2.type</name>
+		<value>SOFT</value>
+		<description>SOFT=soft reference based cache, WEAK=weak reference
+			based cache.</description>
+	</property>
+
+	<property>
+		<name>datanucleus.identifierFactory</name>
+		<value>datanucleus</value>
+		<description>Name of the identifier factory to use when generating
+			table/column names etc. 'datanucleus' is used for backward
+			compatibility</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.warehouse.dir</name>
+		<value>/user/hivesterix</value>
+		<description>location of default database for the warehouse
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.connect.retries</name>
+		<value>5</value>
+		<description>Number of retries while opening a connection to metastore
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.rawstore.impl</name>
+		<value>org.apache.hadoop.hive.metastore.ObjectStore</value>
+		<description>Name of the class that implements
+			org.apache.hadoop.hive.metastore.rawstore interface. This class is
+			used to store and retrieval of raw metadata objects such as table,
+			database</description>
+	</property>
+
+	<property>
+		<name>hive.default.fileformat</name>
+		<value>TextFile</value>
+		<description>Default file format for CREATE TABLE statement. Options
+			are TextFile and SequenceFile. Users can explicitly say CREATE TABLE
+			... STORED AS &lt;TEXTFILE|SEQUENCEFILE&gt; to override</description>
+	</property>
+
+	<property>
+		<name>hive.fileformat.check</name>
+		<value>true</value>
+		<description>Whether to check file format or not when loading data
+			files</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr</name>
+		<value>true</value>
+		<description>Whether to use map-side aggregation in Hive Group By
+			queries</description>
+	</property>
+
+	<property>
+		<name>hive.groupby.skewindata</name>
+		<value>false</value>
+		<description>Whether there is skew in data to optimize group by
+			queries</description>
+	</property>
+
+	<property>
+		<name>hive.groupby.mapaggr.checkinterval</name>
+		<value>100000</value>
+		<description>Number of rows after which size of the grouping
+			keys/aggregation classes is performed</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.local.mem</name>
+		<value>0</value>
+		<description>For local mode, memory of the mappers/reducers
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr.hash.percentmemory</name>
+		<value>0.5</value>
+		<description>Portion of total memory to be used by map-side grup
+			aggregation hash table</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr.hash.min.reduction</name>
+		<value>0.5</value>
+		<description>Hash aggregation will be turned off if the ratio between
+			hash
+			table size and input rows is bigger than this number. Set to 1 to make
+			sure
+			hash aggregation is never turned off.</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.cp</name>
+		<value>true</value>
+		<description>Whether to enable column pruner</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.ppd</name>
+		<value>true</value>
+		<description>Whether to enable predicate pushdown</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.pruner</name>
+		<value>true</value>
+		<description>Whether to enable the new partition pruner which depends
+			on predicate pushdown. If this is disabled,
+			the old partition pruner which is based on AST will be enabled.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.groupby</name>
+		<value>true</value>
+		<description>Whether to enable the bucketed group by from bucketed
+			partitions/tables.</description>
+	</property>
+
+	<property>
+		<name>hive.join.emit.interval</name>
+		<value>1000</value>
+		<description>How many rows in the right-most join operand Hive should
+			buffer before emitting the join result. </description>
+	</property>
+
+	<property>
+		<name>hive.join.cache.size</name>
+		<value>25000</value>
+		<description>How many rows in the joining tables (except the streaming
+			table) should be cached in memory. </description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.bucket.cache.size</name>
+		<value>100</value>
+		<description>How many values in each keys in the map-joined table
+			should be cached in memory. </description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.maxsize</name>
+		<value>100000</value>
+		<description>Maximum # of rows of the small table that can be handled
+			by map-side join. If the size is reached and hive.task.progress is
+			set, a fatal error counter is set and the job will be killed.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.cache.numrows</name>
+		<value>25000</value>
+		<description>How many rows should be cached by jdbm for map join.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.skewjoin</name>
+		<value>false</value>
+		<description>Whether to enable skew join optimization. </description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.key</name>
+		<value>100000</value>
+		<description>Determine if we get a skew key in join. If we see more
+			than the specified number of rows with the same key in join operator,
+			we think the key as a skew join key. </description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.mapjoin.map.tasks</name>
+		<value>10000</value>
+		<description> Determine the number of map task used in the follow up
+			map join job
+			for a skew join. It should be used together with
+			hive.skewjoin.mapjoin.min.split
+			to perform a fine grained control.</description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.mapjoin.min.split</name>
+		<value>33554432</value>
+		<description> Determine the number of map task at most used in the
+			follow up map join job
+			for a skew join by specifying the minimum split size. It should be used
+			together with
+			hive.skewjoin.mapjoin.map.tasks to perform a fine grained control.</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.mode</name>
+		<value>nonstrict</value>
+		<description>The mode in which the hive operations are being
+			performed. In strict mode, some risky queries are not allowed to run
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.script.maxerrsize</name>
+		<value>100000</value>
+		<description>Maximum number of bytes a script is allowed to emit to
+			standard error (per map-reduce task). This prevents runaway scripts
+			from filling logs partitions to capacity </description>
+	</property>
+
+	<property>
+		<name>hive.exec.script.allow.partial.consumption</name>
+		<value>false</value>
+		<description> When enabled, this option allows a user script to exit
+			successfully without consuming all the data from the standard input.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.operator.id.env.var</name>
+		<value>HIVE_SCRIPT_OPERATOR_ID</value>
+		<description> Name of the environment variable that holds the unique
+			script operator ID in the user's transform function (the custom
+			mapper/reducer that the user has specified in the query)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.compress.output</name>
+		<value>false</value>
+		<description> This controls whether the final outputs of a query (to a
+			local/hdfs file or a hive table) is compressed. The compression codec
+			and other options are determined from hadoop config variables
+			mapred.output.compress* </description>
+	</property>
+
+	<property>
+		<name>hive.exec.compress.intermediate</name>
+		<value>false</value>
+		<description> This controls whether intermediate files produced by
+			hive between multiple map-reduce jobs are compressed. The compression
+			codec and other options are determined from hadoop config variables
+			mapred.output.compress* </description>
+	</property>
+
+	<property>
+		<name>hive.exec.parallel</name>
+		<value>false</value>
+		<description>Whether to execute jobs in parallel</description>
+	</property>
+
+	<property>
+		<name>hive.exec.parallel.thread.number</name>
+		<value>8</value>
+		<description>How many jobs at most can be executed in parallel
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hwi.war.file</name>
+		<value>lib\hive-hwi-0.7.0.war</value>
+		<description>This sets the path to the HWI war file, relative to
+			${HIVE_HOME}. </description>
+	</property>
+
+	<property>
+		<name>hive.hwi.listen.host</name>
+		<value>0.0.0.0</value>
+		<description>This is the host address the Hive Web Interface will
+			listen on</description>
+	</property>
+
+	<property>
+		<name>hive.hwi.listen.port</name>
+		<value>9999</value>
+		<description>This is the port the Hive Web Interface will listen on
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.pre.hooks</name>
+		<value></value>
+		<description>Pre Execute Hook for Tests</description>
+	</property>
+
+	<property>
+		<name>hive.merge.mapfiles</name>
+		<value>true</value>
+		<description>Merge small files at the end of a map-only job
+		</description>
+	</property>
+
+	<property>
+		<name>hive.merge.mapredfiles</name>
+		<value>false</value>
+		<description>Merge small files at the end of a map-reduce job
+		</description>
+	</property>
+
+	<property>
+		<name>hive.heartbeat.interval</name>
+		<value>1000</value>
+		<description>Send a heartbeat after this interval - used by mapjoin
+			and filter operators</description>
+	</property>
+
+	<property>
+		<name>hive.merge.size.per.task</name>
+		<value>256000000</value>
+		<description>Size of merged files at the end of the job</description>
+	</property>
+
+	<property>
+		<name>hive.merge.size.smallfiles.avgsize</name>
+		<value>16000000</value>
+		<description>When the average output file size of a job is less than
+			this number, Hive will start an additional map-reduce job to merge
+			the output files into bigger files. This is only done for map-only
+			jobs if hive.merge.mapfiles is true, and for map-reduce jobs if
+			hive.merge.mapredfiles is true.</description>
+	</property>
+
+	<property>
+		<name>hive.script.auto.progress</name>
+		<value>false</value>
+		<description>Whether Hive Tranform/Map/Reduce Clause should
+			automatically send progress information to TaskTracker to avoid the
+			task getting killed because of inactivity. Hive sends progress
+			information when the script is outputting to stderr. This option
+			removes the need of periodically producing stderr messages, but users
+			should be cautious because this may prevent infinite loops in the
+			scripts to be killed by TaskTracker.  </description>
+	</property>
+
+	<property>
+		<name>hive.script.serde</name>
+		<value>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</value>
+		<description>The default serde for trasmitting input data to and
+			reading output data from the user scripts. </description>
+	</property>
+
+	<property>
+		<name>hive.script.recordreader</name>
+		<value>org.apache.hadoop.hive.ql.exec.TextRecordReader</value>
+		<description>The default record reader for reading data from the user
+			scripts. </description>
+	</property>
+
+	<property>
+		<name>hive.script.recordwriter</name>
+		<value>org.apache.hadoop.hive.ql.exec.TextRecordWriter</value>
+		<description>The default record writer for writing data to the user
+			scripts. </description>
+	</property>
+
+	<property>
+		<name>hive.input.format</name>
+		<value>org.apache.hadoop.hive.ql.io.HiveInputFormat</value>
+		<description>The default input format, if it is not specified, the
+			system assigns it. It is set to HiveInputFormat for hadoop versions
+			17, 18 and 19, whereas it is set to CombinedHiveInputFormat for
+			hadoop 20. The user can always overwrite it - if there is a bug in
+			CombinedHiveInputFormat, it can always be manually set to
+			HiveInputFormat. </description>
+	</property>
+
+	<property>
+		<name>hive.udtf.auto.progress</name>
+		<value>false</value>
+		<description>Whether Hive should automatically send progress
+			information to TaskTracker when using UDTF's to prevent the task
+			getting killed because of inactivity. Users should be cautious
+			because this may prevent TaskTracker from killing tasks with infinte
+			loops.  </description>
+	</property>
+
+	<property>
+		<name>hive.mapred.reduce.tasks.speculative.execution</name>
+		<value>true</value>
+		<description>Whether speculative execution for reducers should be
+			turned on. </description>
+	</property>
+
+	<property>
+		<name>hive.exec.counters.pull.interval</name>
+		<value>1000</value>
+		<description>The interval with which to poll the JobTracker for the
+			counters the running job. The smaller it is the more load there will
+			be on the jobtracker, the higher it is the less granular the caught
+			will be.</description>
+	</property>
+
+	<property>
+		<name>hive.enforce.bucketing</name>
+		<value>false</value>
+		<description>Whether bucketing is enforced. If true, while inserting
+			into the table, bucketing is enforced. </description>
+	</property>
+
+	<property>
+		<name>hive.enforce.sorting</name>
+		<value>false</value>
+		<description>Whether sorting is enforced. If true, while inserting
+			into the table, sorting is enforced. </description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.connection.url.hook</name>
+		<value></value>
+		<description>Name of the hook to use for retriving the JDO connection
+			URL. If empty, the value in javax.jdo.option.ConnectionURL is used
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.retry.attempts</name>
+		<value>1</value>
+		<description>The number of times to retry a metastore call if there
+			were a connection error</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.retry.interval</name>
+		<value>1000</value>
+		<description>The number of miliseconds between metastore retry
+			attempts</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.min.threads</name>
+		<value>200</value>
+		<description>Minimum number of worker threads in the Thrift server's
+			pool.</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.max.threads</name>
+		<value>100000</value>
+		<description>Maximum number of worker threads in the Thrift server's
+			pool.</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.tcp.keepalive</name>
+		<value>true</value>
+		<description>Whether to enable TCP keepalive for the metastore server.
+			Keepalive will prevent accumulation of half-open connections.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.reducededuplication</name>
+		<value>true</value>
+		<description>Remove extra map-reduce jobs if the data is already
+			clustered by the same key which needs to be used again. This should
+			always be set to true. Since it is a new feature, it has been made
+			configurable.</description>
+	</property>
+
+	<property>
+		<name>hive.exec.dynamic.partition</name>
+		<value>false</value>
+		<description>Whether or not to allow dynamic partitions in DML/DDL.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.dynamic.partition.mode</name>
+		<value>strict</value>
+		<description>In strict mode, the user must specify at least one static
+			partition in case the user accidentally overwrites all partitions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.max.dynamic.partitions</name>
+		<value>1000</value>
+		<description>Maximum number of dynamic partitions allowed to be
+			created in total.</description>
+	</property>
+
+	<property>
+		<name>hive.exec.max.dynamic.partitions.pernode</name>
+		<value>100</value>
+		<description>Maximum number of dynamic partitions allowed to be
+			created in each mapper/reducer node.</description>
+	</property>
+
+	<property>
+		<name>hive.default.partition.name</name>
+		<value>__HIVE_DEFAULT_PARTITION__</value>
+		<description>The default partition name in case the dynamic partition
+			column value is null/empty string or anyother values that cannot be
+			escaped. This value must not contain any special character used in
+			HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that the
+			dynamic partition value should not contain this value to avoid
+			confusions.</description>
+	</property>
+
+	<property>
+		<name>fs.har.impl</name>
+		<value>org.apache.hadoop.hive.shims.HiveHarFileSystem</value>
+		<description>The implementation for accessing Hadoop Archives. Note
+			that this won't be applicable to Hadoop vers less than 0.20
+		</description>
+	</property>
+
+	<property>
+		<name>hive.archive.enabled</name>
+		<value>false</value>
+		<description>Whether archiving operations are permitted</description>
+	</property>
+
+	<property>
+		<name>hive.archive.har.parentdir.settable</name>
+		<value>false</value>
+		<description>In new Hadoop versions, the parent directory must be set
+			while
+			creating a HAR. Because this functionality is hard to detect with just
+			version
+			numbers, this conf var needs to be set manually.</description>
+	</property>
+
+	<!-- HBase Storage Handler Parameters -->
+
+	<property>
+		<name>hive.hbase.wal.enabled</name>
+		<value>true</value>
+		<description>Whether writes to HBase should be forced to the
+			write-ahead log. Disabling this improves HBase write performance at
+			the risk of lost writes in case of a crash.</description>
+	</property>
+
+</configuration>