Apache Accumulo User Manual: Accumulo Shell

Next: Writing Accumulo Clients Up: Apache Accumulo User Manual Version 1.3 Previous: Accumulo Design Contents
-
Next: Writing Accumulo Clients Up: Apache Accumulo User Manual Version 1.3 Previous: Accumulo Design Contents
Subsections
Basic Administration
Accumulo Shell

Accumulo provides a simple shell that can be used to examine the contents and configuration settings of tables, apply individual mutations, and change configuration settings.
The shell can be started by the following command:
$ACCUMULO_HOME/bin/accumulo shell -u [username]
+$ACCUMULO_HOME/bin/accumulo shell -u [username]
 
 
 
 The shell will prompt for the corresponding password to the username specified and then display the following prompt: 
 Shell - Apache Accumulo Interactive Shell
 -
-- version 1.3
-- instance name: myinstance
-- instance id: 00000000-0000-0000-0000-000000000000
+- version 1.3
+- instance name: myinstance
+- instance id: 00000000-0000-0000-0000-000000000000
 -
 - type 'help' for a list of available commands
 -
@@ -118,80 +118,80 @@
 
  Basic Administration
 The Accumulo shell can be used to create and delete tables, as well as to configure table and instance specific options. 
-root@myinstance> tables
-!METADATA
+root@myinstance> tables
+!METADATA
 
-root@myinstance> createtable mytable
+root@myinstance> createtable mytable
 
-root@myinstance mytable>
+root@myinstance mytable>
 
-root@myinstance mytable> tables
-!METADATA
+root@myinstance mytable> tables
+!METADATA
 mytable
 
-root@myinstance mytable> createtable testtable
+root@myinstance mytable> createtable testtable
 
-root@myinstance testtable>
+root@myinstance testtable>
 
-root@myinstance junk> deletetable testtable
+root@myinstance junk> deletetable testtable
 
-root@myinstance>
+root@myinstance>
 
 
 
 The Shell can also be used to insert updates and scan tables. This is useful for inspecting tables. 
-root@myinstance mytable> scan
+root@myinstance mytable> scan
 
-root@myinstance mytable> insert row1 colf colq value1
+root@myinstance mytable> insert row1 colf colq value1
 insert successful
 
-root@myinstance mytable> scan
-row1 colf:colq [] value1
+root@myinstance mytable> scan
+row1 colf:colq [] value1
 
 
 
  Table Maintenance
 The compact command instructs Accumulo to schedule a compaction of the table during which files are consolidated and deleted entries are removed. 
-root@myinstance mytable> compact -t mytable
-07 16:13:53,201 [shell.Shell] INFO : Compaction of table mytable
-scheduled for 20100707161353EDT
+root@myinstance mytable> compact -t mytable
+07 16:13:53,201 [shell.Shell] INFO : Compaction of table mytable
+scheduled for 20100707161353EDT
 
 
 
 The flush command instructs Accumulo to write all entries currently in memory for a given table to disk. 
-root@myinstance mytable> flush -t mytable
-07 16:14:19,351 [shell.Shell] INFO : Flush of table mytable
-initiated...
+root@myinstance mytable> flush -t mytable
+07 16:14:19,351 [shell.Shell] INFO : Flush of table mytable
+initiated...
 
 
 
  User Administration
 The Shell can be used to add, remove, and grant privileges to users. 
-root@myinstance mytable> createuser bob
-Enter new password for 'bob': *********
-Please confirm new password for 'bob': *********
+root@myinstance mytable> createuser bob
+Enter new password for 'bob': *********
+Please confirm new password for 'bob': *********
 
-root@myinstance mytable> authenticate bob
+root@myinstance mytable> authenticate bob
 Enter current password for 'bob': *********
 Valid
 
-root@myinstance mytable> grant System.CREATE_TABLE -s -u bob
+root@myinstance mytable> grant System.CREATE_TABLE -s -u bob
 
-root@myinstance mytable> user bob
+root@myinstance mytable> user bob
 Enter current password for 'bob': *********
 
-bob@myinstance mytable> userpermissions
-System permissions: System.CREATE_TABLE
-Table permissions (!METADATA): Table.READ
+bob@myinstance mytable> userpermissions
+System permissions: System.CREATE_TABLE
+Table permissions (!METADATA): Table.READ
 Table permissions (mytable): NONE
 
-bob@myinstance mytable> createtable bobstable
-bob@myinstance bobstable>
+bob@myinstance mytable> createtable bobstable
+bob@myinstance bobstable>
 
-bob@myinstance bobstable> user root
+bob@myinstance bobstable> user root
 Enter current password for 'root': *********
 
-root@myinstance bobstable> revoke System.CREATE_TABLE -s -u bob
+root@myinstance bobstable> revoke System.CREATE_TABLE -s -u bob
 
 
 
@@ -201,7 +201,7 @@
 
   
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Administration.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Administration.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Administration.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: Administration
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: Administration
-     Next: Shell Commands  Up: Apache Accumulo User Manual Version 1.3  Previous: Security    Contents 

-
+     Next: Shell Commands  Up: Apache Accumulo User Manual Version 1.3  Previous: Security    Contents   
 Subsections
 
 Hardware
@@ -113,7 +113,7 @@
 Accumulo communicates via remote procedure calls over TCP/IP for both passing data and control messages. In addition, Accumulo uses HDFS clients to communicate with HDFS. To achieve good ingest and query performance, sufficient network bandwidth must be available between any two machines. 
  Installation
 Choose a directory for the Accumulo installation. This directory will be referenced by the environment variable $ACCUMULO_HOME. Run the following: 
-$ tar xzf $ACCUMULO_HOME/accumulo.tar.gz
+$ tar xzf $ACCUMULO_HOME/accumulo.tar.gz
 
 
 
@@ -193,7 +193,7 @@ $ACCUMULO/logs/. 
 
   
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Analytics.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Analytics.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Analytics.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: Analytics
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: Analytics
-     Next: Security  Up: Apache Accumulo User Manual Version 1.3  Previous: High-Speed Ingest    Contents 

-
+     Next: Security  Up: Apache Accumulo User Manual Version 1.3  Previous: High-Speed Ingest    Contents   
 Subsections
 
 MapReduce
@@ -108,9 +108,9 @@
 
  Mapper and Reducer classes
 To read from an Accumulo table create a Mapper with the following class parameterization and be sure to configure the AccumuloInputFormat. 
-class MyMapper extends Mapper<Key,Value,WritableComparable,Writable> {
-    public void map(Key k, Value v, Context c) {
-        // transform key and value data here
+class MyMapper extends Mapper<Key,Value,WritableComparable,Writable> {
+    public void map(Key k, Value v, Context c) {
+        // transform key and value data here
     }
 }
 
@@ -119,13 +119,13 @@
 To write to an Accumulo table, create a Reducer with the following class parameterization and be sure to configure the AccumuloOutputFormat. The key emitted from the Reducer identifies the table to which the mutation is sent. This allows a single Reducer to write to more than one table if desired. A default table can be configured using the AccumuloOutputFormat, in which case the output table name does not have to be passed to the Context object within the Reducer. 
 class MyReducer extends Reducer<WritableComparable, Writable, Text, Mutation> {
 
-    public void reduce(WritableComparable key, Iterator<Text> values, Context c) {
+    public void reduce(WritableComparable key, Iterator<Text> values, Context c) {
 
         Mutation m;
 
-        // create the mutation based on input key and value
+        // create the mutation based on input key and value
 
-        c.write(new Text("output-table"), m);
+        c.write(new Text("output-table"), m);
     }
 }
 
@@ -133,56 +133,56 @@
 
 The Text object passed as the output should contain the name of the table to which this mutation should be applied. The Text can be null in which case the mutation will be applied to the default table name specified in the AccumuloOutputFormat options. 
  AccumuloInputFormat options
-Job job = new Job(getConf());
-AccumuloInputFormat.setInputInfo(job,
-        "user",
-        "passwd".getBytes(),
-        "table",
-        new Authorizations());
+Job job = new Job(getConf());
+AccumuloInputFormat.setInputInfo(job,
+        "user",
+        "passwd".getBytes(),
+        "table",
+        new Authorizations());
 
-AccumuloInputFormat.setZooKeeperInstance(job, "myinstance",
-        "zooserver-one,zooserver-two");
+AccumuloInputFormat.setZooKeeperInstance(job, "myinstance",
+        "zooserver-one,zooserver-two");
 
 
 
 Optional settings:
 To restrict Accumulo to a set of row ranges: 
-ArrayList<Range> ranges = new ArrayList<Range>();
-// populate array list of row ranges ...
-AccumuloInputFormat.setRanges(job, ranges);
+ArrayList<Range> ranges = new ArrayList<Range>();
+// populate array list of row ranges ...
+AccumuloInputFormat.setRanges(job, ranges);
 
 
 
 To restrict accumulo to a list of columns: 
-ArrayList<Pair<Text,Text>> columns = new ArrayList<Pair<Text,Text>>();
-// populate list of columns
-AccumuloInputFormat.fetchColumns(job, columns);
+ArrayList<Pair<Text,Text>> columns = new ArrayList<Pair<Text,Text>>();
+// populate list of columns
+AccumuloInputFormat.fetchColumns(job, columns);
 
 
 
 To use a regular expression to match row IDs: 
-AccumuloInputFormat.setRegex(job, RegexType.ROW, "^.*");
+AccumuloInputFormat.setRegex(job, RegexType.ROW, "^.*");
 
 
 
  AccumuloOutputFormat options
-boolean createTables = true;
-String defaultTable = "mytable";
+boolean createTables = true;
+String defaultTable = "mytable";
 
-AccumuloOutputFormat.setOutputInfo(job,
-        "user",
-        "passwd".getBytes(),
+AccumuloOutputFormat.setOutputInfo(job,
+        "user",
+        "passwd".getBytes(),
         createTables,
         defaultTable);
 
-AccumuloOutputFormat.setZooKeeperInstance(job, "myinstance",
-        "zooserver-one,zooserver-two");
+AccumuloOutputFormat.setZooKeeperInstance(job, "myinstance",
+        "zooserver-one,zooserver-two");
 
 
 
 Optional Settings:
-AccumuloOutputFormat.setMaxLatency(job, 300); // milliseconds
-AccumuloOutputFormat.setMaxMutationBufferSize(job, 5000000); // bytes
+AccumuloOutputFormat.setMaxLatency(job, 300); // milliseconds
+AccumuloOutputFormat.setMaxMutationBufferSize(job, 5000000); // bytes
 
 
 
@@ -203,7 +203,7 @@ accumulo/docs/examples/README.mapred 
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Contents.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Contents.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Contents.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: Contents
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: Contents
-     Next: Introduction  Up: Apache Accumulo User Manual Version 1.3  Previous: Apache Accumulo User Manual Version 1.3 

-
+     Next: Introduction  Up: Apache Accumulo User Manual Version 1.3  Previous: Apache Accumulo User Manual Version 1.3   
  Contents
 
 Introduction
@@ -264,7 +264,7 @@
 
   
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/High_Speed_Ingest.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/High_Speed_Ingest.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/High_Speed_Ingest.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: High Speed Ingest
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: High Speed Ingest
-     Next: Analytics  Up: Apache Accumulo User Manual Version 1.3  Previous: Table Design    Contents 

-
+     Next: Analytics  Up: Apache Accumulo User Manual Version 1.3  Previous: Table Design    Contents   
 Subsections
 
 Pre-Splitting New Tables
@@ -103,7 +103,7 @@
  Pre-Splitting New Tables
 New tables consist of a single tablet by default. As mutations are applied, the table grows and splits into multiple tablets which are balanced by the Master across TabletServers. This implies that the aggregate ingest rate will be limited to fewer servers than are available within the cluster until the table has reached the point where there are tablets on every TabletServer. 
 Pre-splitting a table ensures that there are as many tablets as desired available before ingest begins to take advantage of all the parallelism possible with the cluster hardware. Tables can be split anytime by using the shell: 
-user@myinstance mytable> addsplits -sf /local_splitfile -t mytable
+user@myinstance mytable> addsplits -sf /local_splitfile -t mytable
 
 
 
@@ -114,11 +114,11 @@
  Bulk Ingest
 Accumulo supports the ability to import files produced by an external process such as MapReduce into an existing table. In some cases it may be faster to load data this way rather than via ingesting through clients using BatchWriters. This allows a large number of machines to format data the way Accumulo expects. The new files can then simply be introduced to Accumulo via a shell command. 
 To configure MapReduce to format data in preparation for bulk loading, the job should be set to use a range partitioner instead of the default hash partitioner. The range partitioner uses the split points of the Accumulo table that will receive the data. The split points can be obtained from the shell and used by the MapReduce RangePartitioner. Note that this is only useful if the existing table is already split into multiple tablets. 
-user@myinstance mytable> getsplits
+user@myinstance mytable> getsplits
 aa
 ab
 ac
-...
+...
 zx
 zy
 zz
@@ -126,7 +126,7 @@
 
 
 Run the MapReduce job, using the AccumuloFileOutputFormat to create the files to be introduced to Accumulo. Once this is complete, the files can be added to Accumulo via the shell: 
-user@myinstance mytable> importdirectory /files_dir /failures
+user@myinstance mytable> importdirectory /files_dir /failures
 
 
 
@@ -143,7 +143,7 @@ accumulo/docs/examples/README.mapred 
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Introduction.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Introduction.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Introduction.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: Introduction
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: Introduction
-     Next: Accumulo Design  Up: Apache Accumulo User Manual Version 1.3  Previous: Contents    Contents 

-
+     Next: Accumulo Design  Up: Apache Accumulo User Manual Version 1.3  Previous: Contents    Contents   
  Introduction
 Apache Accumulo is a highly scalable structured store based on Google's BigTable. Accumulo is written in Java and operates over the Hadoop Distributed File System (HDFS), which is part of the popular Apache Hadoop project. Accumulo supports efficient storage and retrieval of structured data, including queries for ranges, and provides support for using Accumulo tables as input and output for MapReduce jobs. 
 Accumulo features automatic load-balancing and partitioning, data compression and fine-grained security labels. 
@@ -98,7 +98,7 @@
 
   
     
-      
+      
     
     
       

Modified: websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Security.html
==============================================================================
--- websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Security.html (original)
+++ websites/staging/accumulo/trunk/content/user_manual_1.3-incubating/Security.html Thu Jul 18 22:46:37 2013
@@ -17,7 +17,7 @@
     See the License for the specific language governing permissions and
     limitations under the License.
 -->
-  
+  
   Apache Accumulo User Manual: Security
   
   
@@ -48,30 +48,31 @@
   
Project
 
 Home
-Downloads
-Features
+Downloads
+Features
 License
 
 Community
 
-Get Involved
-Mailing Lists
-People
+Get Involved
+Mailing Lists
+People
 
 Development
 
-Source & Guide
+Source & Guide
+Git WIP
 Issues
 Builds
 
 Documentation
 
-Manual 1.4 / 1.5
-Javadoc 1.4 / 1.5
-Examples 1.4 / 1.5
-Screenshots
-Papers & Other Links
-Glossary
+Manual 1.4 / 1.5
+Javadoc 1.4 / 1.5
+Examples 1.4 / 1.5
+Screenshots
+Papers & Other Links
+Glossary
 
 ASF links
 
@@ -83,13 +84,12 @@
   
 
   
-    ™
+    ™
   
 
   
     Apache Accumulo User Manual: Security
-     Next: Administration  Up: Apache Accumulo User Manual Version 1.3  Previous: Analytics    Contents 

-
+     Next: Administration  Up: Apache Accumulo User Manual Version 1.3  Previous: Analytics    Contents   
 Subsections
 
 Security Label Expressions
@@ -103,16 +103,16 @@
 Accumulo extends the BigTable data model to implement a security mechanism known as cell-level security. Every key-value pair has its own security label, stored under the column visibility element of the key, which is used to determine whether a given user meets the security requirements to read the value. This enables data of various security levels to be stored within the same row, and users of varying degrees of access to query the same table, while preserving data confidentiality. 
  Security Label Expressions
 When mutations are applied, users can specify a security label for each value. This is done as the Mutation is created by passing a ColumnVisibility object to the put() method: 
-Text rowID = new Text("row1");
-Text colFam = new Text("myColFam");
-Text colQual = new Text("myColQual");
-ColumnVisibility colVis = new ColumnVisibility("public");
-long timestamp = System.currentTimeMillis();
+Text rowID = new Text("row1");
+Text colFam = new Text("myColFam");
+Text colQual = new Text("myColQual");
+ColumnVisibility colVis = new ColumnVisibility("public");
+long timestamp = System.currentTimeMillis();
 
-Value value = new Value("myValue");
+Value value = new Value("myValue");
 
-Mutation mutation = new Mutation(rowID);
-mutation.put(colFam, colQual, colVis, timestamp, value);
+Mutation mutation = new Mutation(rowID);
+mutation.put(colFam, colQual, colVis, timestamp, value);
 
 
 
@@ -121,22 +121,22 @@
 For example, suppose within our organization we want to label our data values with security labels defined in terms of user roles. We might have tokens such as: 
 admin
 audit
-system
+system
 
 
 
 These can be specified alone or combined using logical operators: 
-// Users must have admin privileges:
+// Users must have admin privileges:
 admin
 
-// Users must have admin and audit privileges
+// Users must have admin and audit privileges
 admin&audit
 
-// Users with either admin or audit privileges
+// Users with either admin or audit privileges
 admin|audit
 
-// Users must have audit and one or both of admin or system
-(admin|system)&audit
+// Users must have audit and one or both of admin or system
+(admin|system)&audit
 
 
 
@@ -144,10 +144,10 @@
  Authorization
 When clients attempt to read data from Accumulo, any security labels present are examined against the set of authorizations passed by the client code when the Scanner or BatchScanner are created. If the authorizations are determined to be insufficient to satisfy the security label, the value is suppressed from the set of results sent back to the client. 
 Authorizations are specified as a comma-separated list of tokens the user possesses: 
-// user possess both admin and system level access
+// user possess both admin and system level access
 Authorization auths = new Authorization("admin","system");
 
-Scanner s = connector.createScanner("table", auths);
+Scanner s = connector.createScanner("table", auths);
 
 
 
@@ -164,7 +164,7 @@
 
   
     
-      
+