GemFireXD*Web announced on Pivotal Blog

Read about here.

http://blog.pivotal.io/big-data-pivotal/products/gemfire-xds-new-open-source-download-browser-based-schema-management

Connecting to Pivotal Cloud Foundry Ops Metrics using Java VisualVM

The Pivotal Ops Metrics tool is a JMX extension for Elastic Runtime. Pivotal Ops Metrics collects and exposes system data from Cloud Foundry components via a JMX endpoint. Use this system data to monitor your installation and assist in troubleshooting. Below is the tile once installed and available with Pivotal Cloud Foundry Ops Manager

Once installed and configured, metrics for Cloud Foundry components automatically report to the JMX endpoint. Your JMX client uses the credentials supplied to connect to the IP address of the Pivotal Ops Metrics JMX Provider at port 44444

1. Start jvisualvm

2. Under plugin ensure you have the VisualVm-Mbeans plugin installed as shown below, or install it to be able to view the MBeans.

3. Create a JMX connection as shown below

4. Finally the CF MBeans can be viewed as shown below.

More Information

Deploying Pivotal Ops Metrics
http://docs.pivotal.io/pivotalcf/customizing/deploy-metrics.html

SQLShell accessing Pivotal GemFire XD 1.3

I stumbled open SQLShell recently as per the URL below. Below I will show how you can connect to Pivotal GemFireXD using SQLShell. I used this to export query results using CSV output.

http://software.clapper.org/sqlshell/users-guide.html

Note: Assuming SQLShell is already installed and instructions below are for Mac OSX

1. Create a file in $HOME/.sqlshell/config as shown below, I just took the sample it ships with. Notice how I have added an alias for "gemfirexd", highlighted below.

# ---------------------------------------------------------------------------
# initialization file for SQLShell

[settings]
#colspacing: 2

[drivers]
# Driver aliases.
postgresql = org.postgresql.Driver
postgres = org.postgresql.Driver
mysql = com.mysql.jdbc.Driver
sqlite = org.sqlite.JDBC
sqlite3 = org.sqlite.JDBC
oracle = oracle.jdbc.driver.OracleDriver
access = sun.jdbc.odbc.JdbcOdbcDriver
gemfirexd = com.pivotal.gemfirexd.jdbc.ClientDriver

[vars]
historyDir: ${env.HOME}/.sqlshell

[db_postgres]
aliases: post
url: jdbc:postgresql://localhost:5432/sampledb
driver: postgres
user: ${system.user.name}
password:
history: $vars.historyDir/postgres.hist

[db_mysql]
#aliases:
driver: mysql
url: jdbc:mysql://localhost:3306/sampledb
user: ${system.user.name}
password:
history: $vars.historyDir/mysql.hist

[db_sqlite3]
aliases: sqlite3
url: jdbc:sqlite:/tmp/sample.db
driver: sqlite
history: $vars.historyDir/sqlite3.hist

[db_oracle]
aliases: ora
schema: example
url: jdbc:oracle:thin:@localhost:1521:sampledb
user: ${system.user.name}
password:
driver: oracle
history: $vars.historyDir/scrgskd

[db_access]
driver: access
url: jdbc:odbc:Driver={Microsoft Access Driver (*.mdb)};DBQ=/tmp/sample.mdb;DriverID=22}

2. Add Pivotal GemFireXd client driver "gemfirexd-client.jar" to "/Applications/sqlshell/lib"

3. With Pivotal GemFireXD cluster up and running connect and run some commands as shown below.

  
[Mon Oct 20 11:56:10 papicella@:~/vmware/software/sqlshell ] $ sqlshell gemfirexd,jdbc:gemfirexd://localhost:1527
SQLShell, version 0.8.1 (2012/03/16 09:43:31)
Copyright (c) 2009-2011 Brian M. Clapper
Using JLine
Type "help" for help. Type ".about" for more information.

sqlshell> .set schema APP

sqlshell> .show tables
ALL_EMPS               APPLES_OFFHEAP         CUSTOMERS
DEPT                   EMP                    EMPLOYEES
EMPS_IN_DEPT_10        EMPS_IN_DEPT_20        EMPS_IN_DEPT_30
EMPS_IN_DEPT_40        OFFICES                ORDERDETAILS
ORDERS                 PAYMENTS               PERSON
PRODUCTLINES           PRODUCTS               TEST_ASYNC
TEST_ASYNC2            TEST_CALLBACKLISTENER
sqlshell> select * from dept;
Execution time: 0.21 seconds
Retrieval time: 0.6 seconds
7 rows returned.

DEPTNO  DNAME       LOC
------  ----------  --------
10      ACCOUNTING  NEW YORK
20      RESEARCH    DALLAS
30      SALES       CHICAGO
40      OPERATIONS  BRISBANE
50      MARKETING   ADELAIDE
60      DEV         PERTH
70      SUPPORT     SYDNEY

sqlshell> .capture to /tmp/results.csv
Capturing result sets to: /tmp/results.csv

sqlshell> select * from emp where deptno = 10;
Execution time: 0.18 seconds
Retrieval time: 0.5 seconds
3 rows returned.

EMPNO  ENAME   JOB        MGR   HIREDATE               SAL   COMM  DEPTNO
-----  ------  ---------  ----  ---------------------  ----  ----  ------
7782   CLARK   MANAGER    7839  1981/06/09 00:00:00.0  2450  NULL  10
7839   KING    PRESIDENT  NULL  1981/11/17 00:00:00.0  5000  NULL  10
7934   MILLER  CLERK      7782  1982/01/23 00:00:00.0  1300  NULL  10

sqlshell> .capture off
No longer capturing query results.

sqlshell>

Spring XD Pivotal Gemfire Sink Demo

Spring XD is a unified, distributed, and extensible system for data ingestion, real time analytics, batch processing, and data export. The project's goal is to simplify the development of big data applications.

There are 2 implementation of the gemfire sink: gemfire-server and gemfire-json-server. They are identical except the latter converts JSON string payloads to a JSON document format proprietary to GemFire and provides JSON field access and query capabilities. If you are not using JSON, the gemfire-server module will write the payload using java serialization to the configured region.

In this example below we show how we connect to an existing GemFire 7.0.2 cluster using a locator to add some JSON trade symbols to an existing region in the cluster.

1. Start a GemFire cluster with with an existing region as shown below. The following cache.xml is for "server1" of the cluster and "server2" of the cluster. They are identical configs , just using different ports

server1 cache.xml

  
<?xml version="1.0"?>
<!DOCTYPE cache PUBLIC
    "-//GemStone Systems, Inc.//GemFire Declarative Caching 7.0//EN"
    "http://www.gemstone.com/dtd/cache7_0.dtd">

<cache>
    <cache-server bind-address="localhost" port="40404" hostname-for-clients="localhost"/>

    <region name="springxd-region">
        <region-attributes data-policy="partition">
           <partition-attributes redundant-copies="1" total-num-buckets="113"/>
           <eviction-attributes>
                <lru-heap-percentage action="overflow-to-disk"/>
           </eviction-attributes>
        </region-attributes>
    </region>

    <resource-manager critical-heap-percentage="75" eviction-heap-percentage="65"/>

</cache>

server2 cache.xml

  
<?xml version="1.0"?>
<!DOCTYPE cache PUBLIC
    "-//GemStone Systems, Inc.//GemFire Declarative Caching 7.0//EN"
    "http://www.gemstone.com/dtd/cache7_0.dtd">

<cache>
    <cache-server bind-address="localhost" port="40405" hostname-for-clients="localhost"/>

    <region name="springxd-region">
        <region-attributes data-policy="partition">
           <partition-attributes redundant-copies="1" total-num-buckets="113"/>
           <eviction-attributes>
                <lru-heap-percentage action="overflow-to-disk"/>
           </eviction-attributes>
        </region-attributes>
    </region>

    <resource-manager critical-heap-percentage="75" eviction-heap-percentage="65"/>

</cache> 

2. Verify using GFSH you have 2 members , a locator and a region as follows

  
$ gfsh
    _________________________     __
   / _____/ ______/ ______/ /____/ /
  / /  __/ /___  /_____  / _____  /
 / /__/ / ____/  _____/ / /    / /
/______/_/      /______/_/    /_/    v7.0.2.10

Monitor and Manage GemFire
gfsh>connect --locator=localhost[10334];
Connecting to Locator at [host=localhost, port=10334] ..
Connecting to Manager at [host=10.98.94.88, port=1099] ..
Successfully connected to: [host=10.98.94.88, port=1099]

gfsh>list members;
  Name   | Id
-------- | ---------------------------------------
server1  | 10.98.94.88(server1:10161)<v1>:15610
server2  | 10.98.94.88(server2:10164)<v2>:39300
locator1 | localhost(locator1:10159:locator):42885

gfsh>list regions;
List of regions
---------------
springxd-region

3. Start single node SpringXD server

  
[Wed Oct 08 14:51:06 papicella@:~/vmware/software/spring/spring-xd/spring-xd-1.0.1.RELEASE ] $ xd-singlenode

 _____                           __   _______
/  ___|          (-)             \ \ / /  _  \
\ `--. _ __  _ __ _ _ __   __ _   \ V /| | | |
 `--. \ '_ \| '__| | '_ \ / _` |  / ^ \| | | |
/\__/ / |_) | |  | | | | | (_| | / / \ \ |/ /
\____/| .__/|_|  |_|_| |_|\__, | \/   \/___/
      | |                  __/ |
      |_|                 |___/
1.0.1.RELEASE                    eXtreme Data


Started : SingleNodeApplication
Documentation: https://github.com/spring-projects/spring-xd/wiki

.... 

4. Start SpringXD shell

  
$ xd-shell
 _____                           __   _______
/  ___|          (-)             \ \ / /  _  \
\ `--. _ __  _ __ _ _ __   __ _   \ V /| | | 
 `--. \ '_ \| '__| | '_ \ / _` |  / ^ \| | | |
/\__/ / |_) | |  | | | | | (_| | / / \ \ |/ /
\____/| .__/|_|  |_|_| |_|\__, | \/   \/___/
      | |                  __/ |
      |_|                 |___/
eXtreme Data
1.0.1.RELEASE | Admin Server Target: http://localhost:9393
Welcome to the Spring XD shell. For assistance hit TAB or type "help".
xd:>

5. Create a stream as follows

  
xd:>stream create --name gemfiredemo --definition "http --port=9090 | gemfire-json-server --host=localhost --port=10334 --useLocator=true --regionName=springxd-region --keyExpression=payload.getField('symbol')" --deploy
Created and deployed new stream 'gemfiredemo'

6. Post some entries via HTTP which will be inserted into the GemFire Region

  
xd:>http post --target http://localhost:9090 --data {"symbol":"ORCL","price":38}
> POST (text/plain;Charset=UTF-8) http://localhost:9090 {"symbol":"ORCL","price":38}
> 200 OK

xd:>http post --target http://localhost:9090 --data {"symbol":"VMW","price":94}
> POST (text/plain;Charset=UTF-8) http://localhost:9090 {"symbol":"VMW","price":94}
> 200 OK  

7. Verify via GFSH that data has been inserted into the GemFire region. JSON data stored in GemFire regions is done using PDX.

  
gfsh>query --query="select * from /springxd-region";

Result     : true
startCount : 0
endCount   : 20
Rows       : 2

symbol | price
------ | -----
ORCL   | 38
VMW    | 94

NEXT_STEP_NAME : END

More Information

SpringXD
http://projects.spring.io/spring-xd/

GemFire Sinks
http://docs.spring.io/spring-xd/docs/1.0.1.RELEASE/reference/html/#gemfire-server

Pivotal GemFire 8 - Starting a Locator / Server directly from IntelliJ 13.x

With the introduction of Pivotal GemFire 8 developers can easily incorporate starting/stopping GemFire Locators/Servers directly within Java code allowing them to easily integrate GemFire  management within their IDE. This ensures developers can develop/test/run GemFire applications all within their IDE of choice making them much more productive using very simple Launcher API's

The locator is a Pivotal GemFire process that tells new, connecting members where running members are located and provides load balancing for server use. A GemFire server is a Pivotal GemFire process that runs as a long-lived, configurable member of a distributed system. The GemFire server is used primarily for hosting long-lived data regions and for running standard GemFire processes such as the server in a client/server configuration.

In this post I am going to show how we can use the following classes to launch a Pivotal GemFire  locator / server from code directly within IntelliJ IDEA allowing you to develop/test GemFire applications directly from your IDE of choice.

Note: In this post we use Intellij IDEA 13.x

com.gemstone.gemfire.distributed.LocatorLauncher API
com.gemstone.gemfire.distributed.ServerLauncher API

1. Add the GemFire 8 maven REPO to your project to ensure we pull the required JAR files.

  
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>gemfire-compression</groupId>
    <artifactId>gemfire-compression</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <gemfire.version>8.0.0</gemfire.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>com.gemstone.gemfire</groupId>
            <artifactId>gemfire</artifactId>
            <version>${gemfire.version}</version>
            <scope>compile</scope>
        </dependency>
    </dependencies>

    <repositories>
        <repository>
            <id>gemstone-release</id>
            <name>GemStone Maven RELEASE Repository</name>
            <url>http://dist.gemstone.com.s3.amazonaws.com/maven/release</url>
        </repository>
    </repositories>
</project>

2. Create a class as follows to start a locator

  
package pivotal.gemfire.compression;

import com.gemstone.gemfire.distributed.LocatorLauncher;

import java.util.concurrent.TimeUnit;

public class StartLocator
{
    public static void main(String[] args)
    {
        LocatorLauncher locatorLauncher  = new LocatorLauncher.Builder()
                .set("jmx-manager", "true")
                .set("jmx-manager-start", "true")
                .set("jmx-manager-http-port", "8083")
                .set("jmx-manager-ssl", "false")
                .setMemberName("locator")
                .setPort(10334)
                .setBindAddress("localhost")
                .build();

        System.out.println("Attempting to start Locator");

        locatorLauncher.start();

        locatorLauncher.waitOnStatusResponse(30, 5, TimeUnit.SECONDS);

        System.out.println("Locator successfully started");
    }

} 

3. Create a class as follow to start a single cache server, could create as many iof these as you need

  
package pivotal.gemfire.compression;

import com.gemstone.gemfire.distributed.ServerLauncher;

public class StartMember
{
    public static void main(String[] args){
        ServerLauncher serverLauncher  = new ServerLauncher.Builder()
                .setMemberName("server1")
                .set("locators","localhost[10334]")
                .set("cache-xml-file", "cache.xml")
                .set("log-level", "info")
                .build();

        System.out.println("Attempting to start cache server");

        serverLauncher.start();

        System.out.println("Cache server successfully started");
    }
} 

4. Create a cache.xml with a dummy region

  
<!DOCTYPE cache PUBLIC
        "-//GemStone Systems, Inc.//GemFire Declarative Caching 8.0//EN"
        "http://www.gemstone.com/dtd/cache8_0.dtd">
<cache>
    <cache-server bind-address="localhost" port="0" hostname-for-clients="localhost"/>

    <region name="CompressedRegion">
        <region-attributes data-policy="partition">
            <key-constraint>java.lang.String</key-constraint>
            <value-constraint>java.lang.String</value-constraint>
            <partition-attributes redundant-copies="1" total-num-buckets="113"/>
            <eviction-attributes>
                <lru-heap-percentage action="overflow-to-disk"/>
            </eviction-attributes>
        </region-attributes>
    </region>


    <resource-manager critical-heap-percentage="75" eviction-heap-percentage="65"/>

</cache>

5. Edit the run configurations for StartLocator.java to include GEMFIRE env variable as shown below.

6. Run StartLocator.java as shown below.

7. Run StartMember.java as shown below.

8. Finally from the IDE run a script called verify.sh to view the cluster member/regions to ensure it worked.

verify.sh

  
#!/bin/bash

. ./setup.sh

gfsh <<EOF
connect --locator=localhost[10334];
list members;
list regions;
exit;
EOF  

Output

More Information

Pivotal GemFire Locator Processes
http://gemfire.docs.pivotal.io/latest/userguide/deploying/topics/running_the_locator.html

Pivotal GemFire Server Processes
http://gemfire.docs.pivotal.io/latest/userguide/deploying/topics/running_the_cacheserver.html

Creating a Pivotal GemFireXD Data Source Connection from IntelliJ IDEA 13.x

In order to create a Pivotal GemFireXD Data Source Connection from IntelliJ 13.x , follow the steps below. You will need to define a GemFireXD driver , prior to creating the Data Source itself.

1. Bring up the Databases panel.

2. Define a GemFireXD Driver as follows

3. Once defined select it by using the following options. Your using the Driver you created at #2 above

+ -> Data Source -> com.pivotal.gemfirexd.jdbc.ClientDriver 

4. Create a Connection as shown below. You would need to having a running GemFireXD cluster at this point in order to connect.

5.  Once connected you can browse objects as shown below.

6. Finally we can run DML/DDL directly from IntelliJ as shown below.

Variable in list with Postgres JDBC and Greenplum

I previously blogged on how to create a variable JDBC IN list with Oracle. Here is how you would do it with Pivotal Greenplum. Much easier , without having to write a function. In the Greenplum demo below we use the any function combined with string_to_array

http://theblasfrompas.blogspot.com.au/2008/02/variable-in-list-with-oracle-jdbc-and.html

Code as follows

  
import java.sql.*;
import java.sql.DriverManager;

/**
 * Created by papicella on 4/09/2014.
 */
public class VariableInListGreenplum
{

    public VariableInListGreenplum()
    {
    }

    private Connection getConnection() throws SQLException, ClassNotFoundException
    {
        Class.forName("org.postgresql.Driver");
        Connection conn = null;
        conn = DriverManager.getConnection(
                "jdbc:postgresql://127.0.0.1:5432/apples","pas", "pas");

        return conn;
    }

    public void run() throws SQLException
    {
        Connection conn = null;
        PreparedStatement stmt = null;
        ResultSet rset = null;
        String queryInList =
                        "SELECT DEPTNO, " +
                        "       DNAME, " +
                        "       LOC " +
                        "FROM   scott.DEPT " +
                        "WHERE DEPTNO = any(string_to_array(?,', ')) ";

        try
        {
            conn = getConnection();
            stmt = conn.prepareStatement(queryInList);
            stmt.setString(1, "10, 20, 30");
            rset = stmt.executeQuery();

            while (rset.next())
            {
                System.out.println("Dept [" + rset.getInt(1) + ", " +
                                              rset.getString(2) + "]");
            }
        }
        catch (Exception e)
        {
            System.out.println("Exception occurred");
            e.printStackTrace();
        }
        finally
        {
            if (conn != null)
            {
                conn.close();
            }

            if (stmt != null)
            {
                stmt.close();
            }

            if (rset != null)
            {
                rset.close();
            }
        }
    }

    public static void main(String[] args) throws Exception
    {
        VariableInListGreenplum test = new VariableInListGreenplum();
        test.run();
    }
}

REST with Pivotal GemFire 8.0

Pivotal GemFire 8.0 now includes REST support. You can read more about it as follows

http://gemfire.docs.pivotal.io/latest/userguide/gemfire_rest/book_intro.html#concept_7628F498DB534A2D8A99748F5DA5DC94

Here is how we set it up and some quick examples showing how it works with some Region data
In the example below I have PDX setup for the cache servers as shown below.

  
<!DOCTYPE cache PUBLIC
"-//GemStone Systems, Inc.//GemFire Declarative Caching 8.0//EN"
"http://www.gemstone.com/dtd/cache8_0.dtd">
<cache>
    <pdx read-serialized="true">
        <pdx-serializer>
            <class-name>com.gemstone.gemfire.pdx.ReflectionBasedAutoSerializer</class-name>
            <parameter name="classes">
                <string>org\.pivotal\.pas\.beans\..*</string>
            </parameter>
        </pdx-serializer>
    </pdx>

.....

1. Firstly you need to enable the REST on a cache server node as shown below. Basically set gemfire.start-dev-rest-api to TRUE , you could use a gemfire.properties file but here we just pass it to GFSH as part of the server start command.

start server --name=server1 --classpath=$CLASSPATH --server-port=40411 --cache-xml-file=./server1/cache.xml --properties-file=./server1/gemfire.properties --locators=localhost[10334] --dir=server1 --initial-heap=1g --max-heap=1g --J=-Dgemfire.http-service-port=7070 --J=-Dgemfire.http-service-bind-address=localhost --J=-Dgemfire.start-dev-rest-api=true

2. Once started we can quickly ensure we have the REST server up on port 7070 as shown below.

[Wed Sep 03 12:39:18 papicella@:~/ant-demos/gemfire/80/demo ] $ netstat -an | grep 7070
tcp4       0      0  127.0.0.1.7070         *.*                    LISTEN

3. Next test that you can access the REST server. The command below will list all the regions available in the cluster.

[Wed Sep 03 12:52:44 papicella@:~/ant-demos/gemfire/80/demo/rest ] $ curl -i http://localhost:7070/gemfire-api/v1
HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Location: http://localhost:7070/gemfire-api/v1
Accept-Charset: big5, big5-hkscs, euc-jp, euc-kr, gb18030, gb2312, gbk, ibm-thai, ibm00858, ibm01140, ibm01141, ibm01142, ibm01143, ibm01144, ibm01145, ibm01146, ibm01147, ibm01148, ibm01149, ibm037, ibm1026, ibm1047, ibm273, ibm277, ibm278, ibm280, ibm284, ibm285, ibm290, ibm297, ibm420, ibm424, ibm437, ibm500, ibm775, ibm850, ibm852, ibm855, ibm857, ibm860, ibm861, ibm862, ibm863, ibm864, ibm865, ibm866, ibm868, ibm869, ibm870, ibm871, ibm918, iso-2022-cn, iso-2022-jp, iso-2022-jp-2, iso-2022-kr, iso-8859-1, iso-8859-13, iso-8859-15, iso-8859-2, iso-8859-3, iso-8859-4, iso-8859-5, iso-8859-6, iso-8859-7, iso-8859-8, iso-8859-9, jis_x0201, jis_x0212-1990, koi8-r, koi8-u, shift_jis, tis-620, us-ascii, utf-16, utf-16be, utf-16le, utf-32, utf-32be, utf-32le, utf-8, windows-1250, windows-1251, windows-1252, windows-1253, windows-1254, windows-1255, windows-1256, windows-1257, windows-1258, windows-31j, x-big5-hkscs-2001, x-big5-solaris, x-compound_text, x-euc-jp-linux, x-euc-tw, x-eucjp-open, x-ibm1006, x-ibm1025, x-ibm1046, x-ibm1097, x-ibm1098, x-ibm1112, x-ibm1122, x-ibm1123, x-ibm1124, x-ibm1364, x-ibm1381, x-ibm1383, x-ibm300, x-ibm33722, x-ibm737, x-ibm833, x-ibm834, x-ibm856, x-ibm874, x-ibm875, x-ibm921, x-ibm922, x-ibm930, x-ibm933, x-ibm935, x-ibm937, x-ibm939, x-ibm942, x-ibm942c, x-ibm943, x-ibm943c, x-ibm948, x-ibm949, x-ibm949c, x-ibm950, x-ibm964, x-ibm970, x-iscii91, x-iso-2022-cn-cns, x-iso-2022-cn-gb, x-iso-8859-11, x-jis0208, x-jisautodetect, x-johab, x-macarabic, x-maccentraleurope, x-maccroatian, x-maccyrillic, x-macdingbat, x-macgreek, x-machebrew, x-maciceland, x-macroman, x-macromania, x-macsymbol, x-macthai, x-macturkish, x-macukraine, x-ms932_0213, x-ms950-hkscs, x-ms950-hkscs-xp, x-mswin-936, x-pck, x-sjis_0213, x-utf-16le-bom, x-utf-32be-bom, x-utf-32le-bom, x-windows-50220, x-windows-50221, x-windows-874, x-windows-949, x-windows-950, x-windows-iso2022jp
Content-Type: application/json
Content-Length: 493
Date: Wed, 03 Sep 2014 02:52:46 GMT

{
  "regions" : [ {
    "name" : "demoRegion",
    "type" : "PARTITION",
    "key-constraint" : null,
    "value-constraint" : null
  }, {
    "name" : "departments",
    "type" : "PARTITION",
    "key-constraint" : null,
    "value-constraint" : null
  }, {
    "name" : "employees",
    "type" : "PARTITION",
    "key-constraint" : null,
    "value-constraint" : null
  }, {
    "name" : "complex",
    "type" : "PARTITION",
    "key-constraint" : null,
    "value-constraint" : null
  } ]

4. We have a couple of regions in this cluster and once again I am using the classic DEPT/EMP regions here. Some simple REST command belows on the "/departments" region

View all DEPARTMENT region entries

[Wed Sep 03 12:53:38 papicella@:~/ant-demos/gemfire/80/demo/rest ] $ curl -i http://localhost:7070/gemfire-api/v1/departments
HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Content-Location: http://localhost:7070/gemfire-api/v1/departments/20,10,30,40
Content-Type: application/json
Content-Length: 225
Date: Wed, 03 Sep 2014 02:53:40 GMT

{
  "departments" : [ {
    "deptno" : 20,
    "name" : "RESEARCH"
  }, {
    "deptno" : 10,
    "name" : "ACCOUNTING"
  }, {
    "deptno" : 30,
    "name" : "SALES"
  }, {
    "deptno" : 40,
    "name" : "OPERATIONS"
  } ]
}

VIEW a single region entry by KEY

[Wed Sep 03 12:55:34 papicella@:~/ant-demos/gemfire/80/demo/rest ] $ curl -i http://localhost:7070/gemfire-api/v1/departments/10
HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Content-Location: http://localhost:7070/gemfire-api/v1/departments/10
Content-Type: application/json
Content-Length: 44
Date: Wed, 03 Sep 2014 02:55:36 GMT

{
  "deptno" : 10,
  "name" : "ACCOUNTING"
}

VIEW multiple entries by KEY

[Wed Sep 03 12:56:25 papicella@:~/ant-demos/gemfire/80/demo/rest ] $ curl -i http://localhost:7070/gemfire-api/v1/departments/10,30
HTTP/1.1 200 OK
Server: Apache-Coyote/1.1
Content-Location: http://localhost:7070/gemfire-api/v1/departments/10,30
Content-Type: application/json
Content-Length: 123
Date: Wed, 03 Sep 2014 02:56:28 GMT

{
  "departments" : [ {
    "deptno" : 10,
    "name" : "ACCOUNTING"
  }, {
    "deptno" : 30,
    "name" : "SALES"
  } ]
}

5. We can even use the Spring REST shell as shown below.

Obtain rest-shell using the link below.

https://github.com/spring-projects/rest-shell

  
[Wed Sep 03 13:06:22 papicella@:~ ] $ rest-shell

 ___ ___  __ _____  __  _  _     _ _  __
| _ \ __/' _/_   _/' _/| || |   / / | \ \
| v / _|`._`. | | `._`.| >< |  / / /   > >
|_|_\___|___/ |_| |___/|_||_| |_/_/   /_/
1.2.1.RELEASE

Welcome to the REST shell. For assistance hit TAB or type "help".
http://localhost:8080:> baseUri http://localhost:7070/
Base URI set to 'http://localhost:7070'
http://localhost:7070:> follow gemfire-api
http://localhost:7070/gemfire-api:> follow v1
http://localhost:7070/gemfire-api/v1:> follow departments
http://localhost:7070/gemfire-api/v1/departments:> get 20
> GET http://localhost:7070/gemfire-api/v1/departments/20

< 200 OK
< Server: Apache-Coyote/1.1
< Content-Location: http://localhost:7070/gemfire-api/v1/departments/20
< Content-Type: application/json
< Content-Length: 42
< Date: Wed, 03 Sep 2014 03:07:17 GMT
<
{
  "deptno" : 20,
  "name" : "RESEARCH"
}
http://localhost:7070/gemfire-api/v1/departments:>

6. Open a browser and enter the following URL to browse the Swagger-enabled REST APIs:

http://localhost:7070/gemfire-api/docs/index.html

7. Perform an operation as shown below.

Dept/Emp POJO's with sample data for Pivotal GemFire

I constantly blog about using DEPARTMENT/EMPLOYEE POJO'S with sample data. Here is how to create a file with data to load into GemFire to give you that sample set.

Note: You would need to create POJO'S for Department/Empployee objects that have getter/setter for the attributes mentioned below.

Dept Data

put --key=10 --value=('deptno':10,'name':'ACCOUNTING') --value-class=pivotal.au.se.deptemp.beans.Department --region=departments;
put --key=20 --value=('deptno':20,'name':'RESEARCH') --value-class=pivotal.au.se.deptemp.beans.Department --region=departments;
put --key=30 --value=('deptno':30,'name':'SALES') --value-class=pivotal.au.se.deptemp.beans.Department --region=departments;
put --key=40 --value=('deptno':40,'name':'OPERATIONS') --value-class=pivotal.au.se.deptemp.beans.Department --region=departments;

Emp Data

put --key=7369 --value=('empno':7369,'name':'SMITH','job':'CLERK','deptno':20) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7370 --value=('empno':7370,'name':'APPLES','job':'MANAGER','deptno':10) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7371 --value=('empno':7371,'name':'APICELLA','job':'SALESMAN','deptno':10) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7372 --value=('empno':7372,'name':'LUCIA','job':'PRESIDENT','deptno':30) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7373 --value=('empno':7373,'name':'SIENA','job':'CLERK','deptno':40) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7374 --value=('empno':7374,'name':'LUCAS','job':'SALESMAN','deptno':10) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7375 --value=('empno':7375,'name':'ROB','job':'CLERK','deptno':30) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7376 --value=('empno':7376,'name':'ADRIAN','job':'CLERK','deptno':20) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7377 --value=('empno':7377,'name':'ADAM','job':'CLERK','deptno':20) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7378 --value=('empno':7378,'name':'SALLY','job':'MANAGER','deptno':20) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7379 --value=('empno':7379,'name':'FRANK','job':'CLERK','deptno':10) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7380 --value=('empno':7380,'name':'BLACK','job':'CLERK','deptno':40) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;
put --key=7381 --value=('empno':7381,'name':'BROWN','job':'SALESMAN','deptno':40) --value-class=pivotal.au.se.deptemp.beans.Employee --region=employees;

Load into GemFire (Assumed JAR for POJO'S exists in class path of GemFireCache Servers)

The script bellows uses GFSH to load the file into the correct region references the correct POJO inside the files created above.

export CUR_DIR=`pwd`

gfsh <<!
connect --locator=localhost[10334];
run --file=$CUR_DIR/dept-data
run --file=$CUR_DIR/emp-data
!

Below is what the Department.java POJO would look like for example.

  
package pivotal.au.se.deptemp.beans;

public class Department
{ 
 private int deptno;
 private String name;
 
 public Department() 
 {
 }

 public Department(int deptno, String name) {
  super();
  this.deptno = deptno;
  this.name = name;
 }

 public int getDeptno() {
  return deptno;
 }

 public void setDeptno(int deptno) {
  this.deptno = deptno;
 }

 public String getName() {
  return name;
 }

 public void setName(String name) {
  this.name = name;
 }

 @Override
 public String toString() {
  return "Department [deptno=" + deptno + ", name=" + name + "]";
 }
 
}

Using HAWQ with PHD service in PCF 1.2

The following demo shows how to use the PCF 1.2 PHD service with HAWQ by loading data into the PCF PaaS platform.

1. First lets setup our ENV to use the correct version of HADOOP on our local laptop.

export HADOOP_INSTALL=/Users/papicella/vmware/software/hadoop/hadoop-2.0.5-alpha
export JAVA_HOME=/System/Library/Frameworks/JavaVM.framework/Versions/CurrentJDK/Home

export PATH=$PATH:$HADOOP_INSTALL/bin:$HADOOP_INSTALL/sbin
export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"

export HADOOP_OPTS="$HADOOP_OPTS  -Djava.awt.headless=true -Djava.security.krb5.realm=-Djava.security.krb5.kdc="

export YARN_OPTS="$YARN_OPTS -Djava.security.krb5.realm=OX.AC.UK -Djava.security.krb5.kdc=kdc0.ox.ac.uk:kdc1.ox.ac.uk -Djava.awt.headless=true"

hadoop version

2. Set the HADOOP_USER_NAME to ensure you have write access to load a file.

export HADOOP_USER_NAME=ucc3a04008db2486

3. Create a file called person.txt with some pipe delimited data , example below.

[Mon Jul 28 21:47:37 papicella@:~/vmware/software/hadoop/cloud-foundry/pcf12/demo ] $ head person.txt
1|person1
2|person2
3|person3
4|person4
5|person5

4. Load the file into the PHD instance running in PCF 1.2. You will need to use the name node / path which is correct for your PHD instance.

[Mon Jul 28 21:51:43 papicella@:~/vmware/software/hadoop/cloud-foundry/pcf12/demo ] $ hadoop fs -put person.txt hdfs://x.x.x.x:8020/user/ucc3a04008db2486/

5. Create a HAWQ table to the file person.txt using PXF as shown below.

CREATE EXTERNAL TABLE person (id int, name text)
LOCATION ('pxf://x.x.x.x:50070/user/ucc3a04008db2486/person.txt?Fragmenter=HdfsDataFragmenter&Accessor=TextFileAccessor&Resolver=TextResolver')
FORMAT 'TEXT' (DELIMITER = '|');

6. Query the table as shown below.

For more information on the PHD service see the link below.

http://docs.pivotal.io/pivotalhd-ds/index.html

Pivotal Cloud Foundry Installed lets create an ORG / USER to get started

I installed Pivotal Cloud Foundry 1.2 recently and the commands below is what I run using the CLI to quickly create an ORG and a USER to get started with. Below assumes your connected as the ADMIN user to set a new ORG up.

Cloud Foundry CLI Commands as follows

cf api {cloud end point}
cf create-org pivotal
cf create-user pas pas
cf set-org-role pas pivotal OrgManager
cf target -o pivotal
cf create-space development
cf create-space test
cf create-space production
cf set-space-role pas pivotal production SpaceDeveloper
cf set-space-role pas pivotal development SpaceDeveloper
cf set-space-role pas pivotal test SpaceDeveloper
cf login -u pas -p pas -s development

Pivotal GemFireXD*Web, Web based Interface For GemFireXD

Pivotal GemFire XD bridges GemFire’s proven in-memory intelligence and integrates it with Pivotal HD 2.0 and HAWQ. This enables businesses to make prescriptive decisions in real-time, such as stock trading, fraud detection, intelligence for energy companies, or routing for the telecom industries.

You can read more about how GemFireXD and it's integration with PHD here.

https://www.gopivotal.com/big-data/pivotal-hd

While development team worked on GemFireXD I produced another open source web based tool named GemFireXD*Web. It's available with source code as follows.

https://github.com/papicella/GemFireXD-Web

GemFireXD *Web enables schema management from a web browser with features as follows

• Create all Schema Objects via Dialogs
• Generate DDL
• Run multiple SQL Commands, upload SQL files
• Browse / Administer Objects
• Browse / Administer HDFS stores/tables 
• Browse / Administer Async Event Listeners
• View data distribution
• View Members / start parameters

etc…

Creating some Pivotal Cloud Foundry (PCF) PHD services

After installing PHD add on for Pivotal Cloud Foundry 1.1 I quickly created some development services for PHD using the CLI as shown below.

[Tue Apr 15 22:40:08 papicella@:~/vmware/pivotal/products/cloud-foundry ] $ cf create-service p-hd-hawq-cf free dev-hawq
Creating service dev-hawq in org pivotal / space development as pas...
OK
[Tue Apr 15 22:42:31 papicella@:~/vmware/pivotal/products/cloud-foundry ] $ cf create-service p-hd-hbase-cf free dev-hbase
Creating service dev-hbase in org pivotal / space development as pas...
OK
[Tue Apr 15 22:44:10 papicella@:~/vmware/pivotal/products/cloud-foundry ] $ cf create-service p-hd-hive-cf free dev-hive
Creating service dev-hive in org pivotal / space development as pas...
OK
[Tue Apr 15 22:44:22 papicella@:~/vmware/pivotal/products/cloud-foundry ] $ cf create-service p-hd-yarn-cf free dev-yarn
Creating service dev-yarn in org pivotal / space development as pas...
OK

Finally using the web console to brow the services in the "Development" space

Pivotal Greenplum GPLOAD with multiple CSV files

I recently needed to setup a cron script which loaded CSV files from a directory into Greenplum every 2 minutes. Once loaded the files are moved onto Hadoop for archive purposes. The config below shows how to use GPLOAD data load utility which utilises GPFDIST.

1. Create a load table. In this example the data is then moved to the FACT table once the load is complete

  
drop table rtiadmin.rtitrans_etl4;

CREATE TABLE rtiadmin.rtitrans_etl4 (
    imsi character varying(82),
    subscriber_mccmnc character varying(10),
    msisdn character varying(82),
    imei character varying(50),
    called_digits character varying(50),
    start_datetime integer,
    end_datetime integer,
    first_cell_lac integer,
    first_cell_idsac integer,
    current_cell_lac integer,
    current_cell_idsac integer,
    dr_type integer,
    status character varying(50),
    ingest_time bigint,
    processed_time bigint,
    export_time bigint,
    extra_col text,
    gploaded_time timestamp without time zone
)
WITH (appendonly=true) DISTRIBUTED BY (imsi); 

2. GPLOAD yaml file defined as follows

VERSION: 1.0.0.1
DATABASE: mydb
USER: rtiadmin
HOST: 172.1.1.1
PORT: 5432
GPLOAD:
   INPUT:
    - SOURCE:
         LOCAL_HOSTNAME:
            - loadhost
         PORT: 8100
         FILE:
          - /data/rti/stage/run/*.csv
    - COLUMNS:
          - imsi : text
          - subscriber_mccmnc : text
          - msisdn : text
          - imei : text
          - called_digits : text
          - start_datetime : text
          - end_datetime : text
          - first_cell_lac : integer
          - first_cell_idsac : integer
          - current_cell_lac : integer
          - current_cell_idsac : integer
          - dr_type : integer
          - status : text
          - ingest_time : bigint
          - processed_time : bigint
          - export_time : bigint
          - extra_col : text
    - FORMAT: text
    - HEADER: false
    - DELIMITER: ','
    - NULL_AS : ''
    - ERROR_LIMIT: 999999
    - ERROR_TABLE: rtiadmin.rtitrans_etl4_err
   OUTPUT:
    - TABLE: rtiadmin.rtitrans_etl4
    - MODE: INSERT
    - MAPPING:
           imsi : imsi
           subscriber_mccmnc : subscriber_mccmnc
           msisdn : msisdn
           imei : imei
           called_digits : called_digits
           start_datetime : substr(start_datetime, 1, 10)::int
           end_datetime : substr(end_datetime, 1, 10)::int
           first_cell_lac : first_cell_lac
           first_cell_idsac : first_cell_idsac
           current_cell_lac : current_cell_lac
           current_cell_idsac : current_cell_idsac
           dr_type : dr_type
           status : status
           ingest_time : ingest_time
           processed_time : processed_time
           export_time : export_time
           extra_col : extra_col
           gploaded_time : current_timestamp
   PRELOAD:
    - TRUNCATE : true 
    - REUSE_TABLES : true
   SQL:
    - AFTER : "insert into rtitrans select * from rtitrans_etl4" 

3. Call GPLOAD as follows

source $HOME/.bash_profile
gpload -f rtidata.yml

Note: We use the ENV variable as $PGPASSWORD which is used during the load if a password is required which was in this demo

Few things worth noting here.

REUSE_TABLES : This ensures the external tables created during the load are maintained and re-used on next load.

TRUNCATE: This clears the load table prior to load and we use this as we COPY the data once the load is finished into the main FACT table using the "AFTER"

Pivotal Cloud Foundry using App Direct "newrelic" Monitoring Service

PCF AWS marketplace provides app direct services and in this example I am going to use the "newrelic" monitoring service to monitor my spring based java application. It's really this simple.

1. Create a service as shown below.

[Tue Mar 04 17:19:34 papicella@:~/cfapps/spring-travel ] $ cf create-service newrelic standard dev-newrelic

2. Create a manifest.yml for my spring application which uses the new relic service above.

applications:
- name: pas-springtravel 
  memory: 1024M 
  instances: 1
  host: pas-springtravel 
  domain: cfapps.io 
  path: ./travel.war
  services:
  - dev-mysql
  - dev-newrelic

3. Push the application

[Tue Mar 04 17:19:34 papicella@:~/cfapps/spring-travel ] $ cf push -f manifest.yml 
Using manifest file manifest.yml

Creating app pas-springtravel in org papicella-org / space development as papicella@gopivotal.com...
OK

Using route pas-springtravel.cfapps.io
Binding pas-springtravel.cfapps.io to pas-springtravel...
OK

Uploading pas-springtravel...
Uploading from: travel.war
5.3M, 2748 files
OK
Binding service dev-mysql to pas-springtravel in org papicella-org / space development as papicella@gopivotal.com
OK
Binding service dev-newrelic to pas-springtravel in org papicella-org / space development as papicella@gopivotal.com
OK

Starting app pas-springtravel in org papicella-org / space development as papicella@gopivotal.com...
OK
-----> Downloaded app package (22M)
-----> Uploading droplet (67M)

0 of 1 instances running, 1 starting
0 of 1 instances running, 1 starting
0 of 1 instances running, 1 starting
0 of 1 instances running, 1 starting
0 of 1 instances running, 1 starting
1 of 1 instances running

App started

Showing health and status for app pas-springtravel in org papicella-org / space development as papicella@gopivotal.com...
OK

requested state: started
instances: 1/1
usage: 1G x 1 instances
urls: pas-springtravel.cfapps.io

     state     since                    cpu    memory         disk           
#0   running   2014-03-04 05:24:43 PM   0.0%   610.7M of 1G   155.9M of 1G 

4. Under the services listed on AWS click on "Manage" and here are some screen shots of what the newrelic monitoring service provides with just a simple BIND when we pushed the application.