diff --git a/asterix-app/data/hdfs/asterix_info.txt b/asterix-app/data/hdfs/asterix_info.txt
new file mode 100644
index 0000000..a9a5596
--- /dev/null
+++ b/asterix-app/data/hdfs/asterix_info.txt
@@ -0,0 +1,4 @@
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
diff --git a/asterix-app/data/hdfs/large_text b/asterix-app/data/hdfs/large_text
new file mode 100644
index 0000000..31a394d
--- /dev/null
+++ b/asterix-app/data/hdfs/large_text
@@ -0,0 +1,136 @@
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
+The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information.
+The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing  to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters.
+ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual.
+ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
diff --git a/asterix-app/data/hdfs/obamatweets.adm b/asterix-app/data/hdfs/obamatweets.adm
new file mode 100644
index 0000000..2567483
--- /dev/null
+++ b/asterix-app/data/hdfs/obamatweets.adm
@@ -0,0 +1,11 @@
+{ "id": "nc1:1", "username": "BronsonMike", "location": "", "text": "@GottaLaff @reutersus Christie and obama just foul weather friends", "timestamp": "Thu Dec 06 16:53:06 PST 2012" }
+{ "id": "nc1:100", "username": "KidrauhlProuds", "location": "", "text": "RT @01Direclieber: A filha do Michael Jackson  uma Belieber,a filha do Eminem e uma Belieber,as filhas de Obama sao Beliebers, e a filha do meu pai e Belieber", "timestamp": "Thu Dec 06 16:53:16 PST 2012" }
+{ "id": "nc1:102", "username": "jaysauce82", "location": "", "text": "Not voting for President Obama #BadDecision", "timestamp": "Thu Dec 06 16:53:16 PST 2012" }
+{ "id": "nc1:104", "username": "princeofsupras", "location": "", "text": "RT @01Direclieber: A filha do Michael Jackson e uma Belieber,a filha do Eminem e uma Belieber,as filhas de Obama sao Beliebers, e a filha do meu pai e Belieber", "timestamp": "Thu Dec 06 16:53:15 PST 2012" }
+{ "id": "nc1:106", "username": "GulfDogs", "location": "", "text": "Obama Admin Knew Libyan Terrorists Had US-Provided Weaponsteaparty #tcot #ccot #NewGuards #BreitbartArmy #patriotwttp://t.co/vJxzrQUE", "timestamp": "Thu Dec 06 16:53:14 PST 2012" }
+{ "id": "nc1:108", "username": "Laugzpz", "location": "", "text": "@AlfredoJalife Maestro Obama se hace de la vista gorda, es un acuerdo de siempre creo yo.", "timestamp": "Thu Dec 06 16:53:14 PST 2012" }
+{ "id": "nc1:11", "username": "magarika", "location": "", "text": "RT @ken24xavier: Obama tells SOROS - our plan is ALMOST finished http://t.co/WvzK0GtU", "timestamp": "Thu Dec 06 16:53:05 PST 2012" }
+{ "id": "nc1:111", "username": "ToucanMall", "location": "", "text": "RT @WorldWar3Watch: Michelle Obama Gets More Grammy Nominations Than Justin ...  #Obama #WW3 http://t.co/0Wv2GKij", "timestamp": "Thu Dec 06 16:53:13 PST 2012" }
+{ "id": "nc1:113", "username": "ToucanMall", "location": "", "text": "RT @ObamaPalooza: Tiffany Shared What $2,000 Meant to Her ... and the President Stopped by to Talk About It http://t.co/sgT7lsNV #Obama", "timestamp": "Thu Dec 06 16:53:12 PST 2012" }
+{ "id": "nc1:115", "username": "thewildpitch", "location": "", "text": "RT @RevkahJC: Dennis Miller: Obama Should Just Say He Wants To Tax Successful People http://t.co/Ihlemy9Y", "timestamp": "Thu Dec 06 16:53:11 PST 2012" }
+{ "id": "nc1:117", "username": "Rnugent24", "location": "", "text": "RT @ConservativeQuo: unemployment is above 8% again. I wonder how long it will take for Obama to start blaming Bush? 3-2-1 #tcot #antiobama", "timestamp": "Thu Dec 06 16:53:10 PST 2012" }
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