Greenplum Partner Connector API

With the Greenplum Partner Connector API (GPPC API), you can write portable Greenplum Database user-defined functions (UDFs) in the C and C++ programming languages. Functions that you develop with the GPPC API require no recompilation or modification to work with older or newer Greenplum Database versions.

Functions that you write to the GPPC API can be invoked using SQL in Greenplum Database. The API provides a set of functions and macros that you can use to issue SQL commands through the Server Programming Interface (SPI), manipulate simple and composite data type function arguments and return values, manage memory, and handle data.

You compile the C/C++ functions that you develop with the GPPC API into a shared library. The GPPC functions are available to Greenplum Database users after the shared library is installed in the Greenplum Database cluster and the GPPC functions are registered as SQL UDFs.

Note: The Greenplum Partner Connector is supported for Greenplum Database versions 4.3.5.0 and later.

This topic contains the following information:

• Using the GPPC API
  • Requirements
  • Header and Library Files
  • Data Types
  • Function Declaration, Arguments, and Results
  • Memory Handling
  • Working With Variable-Length Text Types
  • Error Reporting and Logging
  • SPI Functions
  • About Tuple Descriptors and Tuples
  • Set-Returning Functions
  • Table Functions
  • Limitations
  • Sample Code
• Building a GPPC Shared Library with PGXS
• Registering a GPPC Function with Greenplum Database
• Packaging and Deployment Considerations
• GPPC Text Function Example
• GPPC Set-Returning Function Example

Parent topic: Greenplum Database Reference Guide

Using the GPPC API

The GPPC API shares some concepts with C language functions as defined by PostgreSQL. Refer to C-Language Functions in the PostgreSQL documentation for detailed information about developing C language functions.

The GPPC API is a wrapper that makes a C/C++ function SQL-invokable in Greenplum Database. This wrapper shields GPPC functions that you write from Greenplum Database library changes by normalizing table and data manipulation and SPI operations through functions and macros defined by the API.

The GPPC API includes functions and macros to:

• Operate on base and composite data types.
• Process function arguments and return values.
• Allocate and free memory.
• Log and report errors to the client.
• Issue SPI queries.
• Return a table or set of rows.
• Process tables as function input arguments.

Requirements

When you develop with the GPPC API:

• You must develop your code on a system with the same hardware and software architecture as that of your Greenplum Database hosts.
• You must write the GPPC function(s) in the C or C++ programming languages.
• The function code must use the GPPC API, data types, and macros.
• The function code must not use the PostgreSQL C-Language Function API, header files, functions, or macros.
• The function code must not #include the postgres.h header file or use PG_MODULE_MAGIC.
• You must use only the GPPC-wrapped memory functions to allocate and free memory. See Memory Handling.
• Symbol names in your object files must not conflict with each other nor with symbols defined in the Greenplum Database server. You must rename your functions or variables if you get error messages to this effect.

Header and Library Files

The GPPC header files and libraries are installed in $GPHOME:

• $GPHOME/include/gppc.h - the main GPPC header file
• $GPHOME/include/gppc_config.h - header file defining the GPPC version
• $GPHOME/lib/libgppc.[a, so, so.1, so.1.2] - GPPC archive and shared libraries

Data Types

The GPPC functions that you create will operate on data residing in Greenplum Database. The GPPC API includes data type definitions for equivalent Greenplum Database SQL data types. You must use these types in your GPPC functions.

The GPPC API defines a generic data type that you can use to represent any GPPC type. This data type is named GppcDatum, and is defined as follows:

typedef int64_t GppcDatum;

The following table identifies each GPPC data type and the SQL type to which it maps.

The GPPC API treats text, numeric, and timestamp data types specially, providing functions to operate on these types.

Example GPPC base data type declarations:

GppcText       message;
GppcInt4       arg1;
GppcNumeric    total_sales;

The GPPC API defines functions to convert between the generic GppcDatum type and the GPPC specific types. For example, to convert from an integer to a datum:

GppcInt4 num = 13;
GppcDatum num_dat = GppcInt4GetDatum(num);

Composite Types

A composite data type represents the structure of a row or record, and is comprised of a list of field names and their data types. This structure information is typically referred to as a tuple descriptor. An instance of a composite type is typically referred to as a tuple or row. A tuple does not have a fixed layout and can contain null fields.

The GPPC API provides an interface that you can use to define the structure of, to access, and to set tuples. You will use this interface when your GPPC function takes a table as an input argument or returns table or set of record types. Using tuples in table and set returning functions is covered later in this topic.

Function Declaration, Arguments, and Results

The GPPC API relies on macros to declare functions and to simplify the passing of function arguments and results. These macros include:

When you define and implement your GPPC function, you must declare it with the GPPC API using the two declarations identified above. For example, to declare a GPPC function named add_int4s():

GPPC_FUNCTION_INFO(add_int4s);
GppcDatum add_int4s(GPPC_FUNCTION_ARGS);
GppcDatum
add_int4s(GPPC_FUNCTION_ARGS)
{
  // code here
}

If the add_int4s() function takes two input arguments of type int4, you use the GPPC_GETARG_INT4(arg\_num) macro to access the argument values. The argument index starts at 0. For example:

GppcInt4  first_int = GPPC_GETARG_INT4(0);
GppcInt4  second_int = GPPC_GETARG_INT4(1);

If add_int4s() returns the sum of the two input arguments, you use the GPPC_RETURN_INT8(return\_val) macro to return this sum. For example:

GppcInt8  sum = first_int + second_int;
GPPC_RETURN_INT8(sum);

The complete GPPC function:

GPPC_FUNCTION_INFO(add_int4s);
GppcDatum add_int4s(GPPC_FUNCTION_ARGS);
GppcDatum
add_int4s(GPPC_FUNCTION_ARGS)
{
  // get input arguments
  GppcInt4    first_int = GPPC_GETARG_INT4(0);
  GppcInt4    second_int = GPPC_GETARG_INT4(1);
  // add the arguments
  GppcInt8    sum = first_int + second_int;
  // return the sum
  GPPC_RETURN_INT8(sum);
}

Memory Handling

The GPPC API provides functions that you use to allocate and free memory, including text memory. You must use these functions for all memory operations.

After you allocate memory, you can use system functions such as memcpy() to set the data.

The following example allocates an array of GppcDatums and sets the array to datum versions of the function input arguments:

GppcDatum  *values;
int attnum = GPPC_NARGS();
// allocate memory for attnum values
values = GppcAlloc( sizeof(GppcDatum) * attnum );
// set the values
for( int i=0; i<attnum; i++ ) {
    GppcDatum d = GPPC_GETARG_DATUM(i);
    values[i] = d;
}

When you allocate memory for a GPPC function, you allocate it in the current context. The GPPC API includes functions to return, create, switch, and reset memory contexts.

Greenplum Database typically calls a SQL-invoked function in a per-tuple context that it creates and deletes every time the server backend processes a table row. Do not assume that memory allocated in the current memory context is available across multiple function calls.

Working With Variable-Length Text Types

The GPPC API supports the variable length text, varchar, blank padded, and byte array types. You must use the GPPC API-provided functions when you operate on these data types. Variable text manipulation functions provided in the GPPC API include those to allocate memory for, determine string length of, get string pointers for, and access these types:

GppcBpChar GppcAllocBpChar( size_t len )

GppcBytea GppcAllocBytea( size_t len )

|Allocate len bytes of memory for the varying length type.| |size_t GppcGetTextLength( GppcText s )size_t GppcGetVarCharLength( GppcVarChar s )

size_t GppcGetBpCharLength( GppcBpChar s )

size_t GppcGetByteaLength( GppcBytea b )

|Return the number of bytes in the memory chunk.| |char *GppcGetTextPointer( GppcText s )char *GppcGetVarCharPointer( GppcVarChar s )

char *GppcGetBpCharPointer( GppcBpChar s )

char *GppcGetByteaPointer( GppcBytea b )

|Return a string pointer to the head of the memory chunk. The string is not null-terminated.| |char *GppcTextGetCString( GppcText s )char *GppcVarCharGetCString( GppcVarChar s )

char *GppcBpCharGetCString( GppcBpChar s )

|Return a string pointer to the head of the memory chunk. The string is null-terminated.| |GppcText *GppcCStringGetText( const char *s )GppcVarChar *GppcCStringGetVarChar( const char *s )

GppcBpChar *GppcCStringGetBpChar( const char *s )

|Build a varying-length type from a character string.|

Memory returned by the GppcGet<VLEN_ARGTYPE>Pointer() functions may point to actual database content. Do not modify the memory content. The GPPC API provides functions to allocate memory for these types should you require it. After you allocate memory, you can use system functions such as memcpy() to set the data.

The following example manipulates text input arguments and allocates and sets result memory for a text string concatenation operation:

GppcText first_textstr = GPPC_GETARG_TEXT(0);
GppcText second_textstr = GPPC_GETARG_TEXT(1);
// determine the size of the concatenated string and allocate
// text memory of this size
size_t arg0_len = GppcGetTextLength(first_textstr);
size_t arg1_len = GppcGetTextLength(second_textstr);
GppcText retstring = GppcAllocText(arg0_len + arg1_len);
// construct the concatenated return string; copying each string
// individually
memcpy(GppcGetTextPointer(retstring), GppcGetTextPointer(first_textstr), arg0_len);
memcpy(GppcGetTextPointer(retstring) + arg0_len, GppcGetTextPointer(second_textstr), arg1_len);

Error Reporting and Logging

The GPPC API provides error reporting and logging functions. The API defines reporting levels equivalent to those in Greenplum Database:

typedef enum GppcReportLevel
{
        GPPC_DEBUG1                             = 10,
        GPPC_DEBUG2                             = 11,
        GPPC_DEBUG3                             = 12,
        GPPC_DEBUG4                             = 13,
        GPPC_DEBUG                              = 14,
        GPPC_LOG                                = 15,
        GPPC_INFO                               = 17,
        GPPC_NOTICE                             = 18,
        GPPC_WARNING                        = 19,
        GPPC_ERROR                              = 20,
} GppcReportLevel;

(The Greenplum Database client_min_messages server configuration parameter governs the current client logging level. The log_min_messages configuration parameter governs the current log-to-logfile level.)

A GPPC report includes the report level, a report message, and an optional report callback function.

Reporting and handling functions provide by the GPPC API include:

The GppcReport() function signature is:

void GppcReport(GppcReportLevel elevel, const char *fmt, ...);

GppcReport() takes a format string input argument similar to printf(). The following example generates an error level report message that formats a GPPC text argument:

GppcText  uname = GPPC_GETARG_TEXT(1);
GppcReport(GPPC_ERROR, "Unknown user name: %s", GppcTextGetCString(uname));

Refer to the GPPC example code for example report callback handlers.

SPI Functions

The Greenplum Database Server Programming Interface (SPI) provides writers of C/C++ functions the ability to run SQL commands within a GPPC function. For additional information on SPI functions, refer to Server Programming Interface in the PostgreSQL documentation.

The GPPC API exposes a subset of PostgreSQL SPI functions. This subset enables you to issue SPI queries and retrieve SPI result values in your GPPC function. The GPPC SPI wrapper functions are:

When you create a GPPC function that accesses the server programming interface, your function should comply with the following flow:

GppcSPIConnect();
GppcSPIExec(...)
// process the results - GppcSPIGetValue(...), GppcSPIGetDatum(...)
GppcSPIFinish()

You use GppcSPIExec() to execute SQL statements in your GPPC function. When you call this function, you also identify the maximum number of rows to return. The function signature of GppcSPIExec() is:

GppcSPIResult GppcSPIExec(const char *sql_statement, long rcount);

GppcSPIExec() returns a GppcSPIResult structure. This structure represents SPI result data. It includes a pointer to the data, information about the number of rows processed, a counter, and a result code. The GPPC API defines this structure as follows:

typedef struct GppcSPIResultData
{
    struct GppcSPITupleTableData   *tuptable;
    uint32_t                       processed;
    uint32_t                       current;
    int                            rescode;
} GppcSPIResultData;
typedef GppcSPIResultData *GppcSPIResult;

You can set and use the current field in the GppcSPIResult structure to examine each row of the tuptable result data.

The following code excerpt uses the GPPC API to connect to SPI, execute a simple query, loop through query results, and finish processing:

GppcSPIResult   result;
char            *attname = "id";
char            *query = "SELECT i, 'foo' || i AS val FROM generate_series(1, 10)i ORDER BY 1";
bool            isnull = true;
// connect to SPI
if( GppcSPIConnect() < 0 ) {
    GppcReport(GPPC_ERROR, "cannot connect to SPI");
}
// execute the query, returning all rows
result = GppcSPIExec(query, 0);
// process result
while( result->current < result->processed ) {
    // get the value of attname column as a datum, making a copy
    datum = GppcSPIGetDatumByName(result, attname, &isnull, true);
    // do something with value
    // move on to next row
    result->current++;
}
// complete processing
GppcSPIFinish();

About Tuple Descriptors and Tuples

A table or a set of records contains one or more tuples (rows). The structure of each attribute of a tuple is defined by a tuple descriptor. A tuple descriptor defines the following for each attribute in the tuple:

• attribute name
• object identifer of the attribute data type
• byte length of the attribute data type
• object identifier of the attribute modifer

The GPPC API defines an abstract type, GppcTupleDesc, to represent a tuple/row desriptor. The API also provides functions that you can use to create, access, and set tuple descriptors:

To construct a tuple descriptor, you first create a template, and then fill in the descriptor fields for each attribute. The signatures for these functions are:

GppcTupleDesc GppcCreateTemplateTupleDesc(int natts);
void GppcTupleDescInitEntry(GppcTupleDesc desc, uint16_t attno,
                            const char *attname, GppcOid typid, int32_t typmod);

In some cases, you may want to initialize a tuple descriptor entry from an attribute definition in an existing tuple. The following functions fetch the number of attributes in a tuple descriptor, as well as the definition of a specific attribute (by number) in the descriptor:

int GppcTupleDescNattrs(GppcTupleDesc tupdesc);
const char *GppcTupleDescAttrName(GppcTupleDesc tupdesc, int16_t attno);
GppcOid GppcTupleDescAttrType(GppcTupleDesc tupdesc, int16_t attno);
int16_t GppcTupleDescAttrLen(GppcTupleDesc tupdesc, int16_t attno);
int32_t GppcTupleDescAttrTypmod(GppcTupleDesc tupdesc, int16_t attno);

The following example initializes a two attribute tuple descriptor. The first attribute is initialized with the definition of an attribute from a different descriptor, and the second attribute is initialized to a boolean type attribute:

GppcTupleDesc       tdesc;
GppcTupleDesc       indesc = some_input_descriptor;
// initalize the tuple descriptor with 2 attributes
tdesc = GppcCreateTemplateTupleDesc(2);
// use third attribute from the input descriptor
GppcTupleDescInitEntry(tdesc, 1, 
           GppcTupleDescAttrName(indesc, 2),
           GppcTupleDescAttrType(indesc, 2),
           GppcTupleDescAttrTypmod(indesc, 2));
// create the boolean attribute
GppcTupleDescInitEntry(tdesc, 2, "is_active", GppcOidBool, 0);

The GPPC API defines an abstract type, GppcHeapTuple, to represent a tuple/record/row. A tuple is defined by its tuple descriptor, the value for each tuple attribute, and an indicator of whether or not each value is NULL.

The GPPC API provides functions that you can use to set and access a tuple and its attributes:

The signatures for the tuple-building GPPC functions are:

GppcHeapTuple GppcHeapFormTuple(GppcTupleDesc tupdesc, GppcDatum *values, bool *nulls);
GppcDatum    GppcBuildHeapTupleDatum(GppcTupleDesc tupdesc, GppcDatum *values, bool *nulls);

The following code excerpt constructs a GppcDatum tuple from the tuple descriptor in the above code example, and from integer and boolean input arguments to a function:

GppcDatum intarg = GPPC_GETARG_INT4(0);
GppcDatum boolarg = GPPC_GETARG_BOOL(1);
GppcDatum result, values[2];
bool nulls[2] = { false, false };
// construct the values array
values[0] = intarg;
values[1] = boolarg;
result = GppcBuildHeapTupleDatum( tdesc, values, nulls );

Set-Returning Functions

Greenplum Database UDFs whose signatures include RETURNS SETOF RECORD or RETURNS TABLE( ... ) are set-returning functions.

The GPPC API provides support for returning sets (for example, multiple rows/tuples) from a GPPC function. Greenplum Database calls a set-returning function (SRF) once for each row or item. The function must save enough state to remember what it was doing and to return the next row on each call. Memory that you allocate in the SRF context must survive across multiple function calls.

The GPPC API provides macros and functions to help keep track of and set this context, and to allocate SRF memory. They include:

The GppcFuncCallContext structure provides the context for an SRF. You create this context on the first call to your SRF. Your set-returning GPPC function must retrieve the function context on each invocation. For example:

// set function context
GppcFuncCallContext fctx;
if (GPPC_SRF_IS_FIRSTCALL()) {
    fctx = GPPC_SRF_FIRSTCALL_INIT();
}
fctx = GPPC_SRF_PERCALL_SETUP();
// process the tuple

The GPPC function must provide the context when it returns a tuple result or to indicate that processing is complete. For example:

GPPC_SRF_RETURN_NEXT(fctx, result_tuple);
// or
GPPC_SRF_RETURN_DONE(fctx);

Use a DESCRIBE function to define the output tuple descriptor of a function that uses the RETURNS SETOF RECORD clause. Use the GPPC_SRF_RESULT_DESC() macro to get the output tuple descriptor of a function that uses the RETURNS TABLE( ... ) clause.

Refer to the GPPC Set-Returning Function Example for a set-returning function code and deployment example.

Table Functions

The GPPC API provides the GppcAnyTable type to pass a table to a function as an input argument, or to return a table as a function result.

Table-related functions and macros provided in the GPPC API include:

You can use the GPPC_GETARG_ANYTABLE() macro to retrieve a table input argument. When you have access to the table, you can examine the tuple descriptor for the table using the GppcAnyTableGetTupleDesc() function. The signature of this function is:

GppcTupleDesc GppcAnyTableGetTupleDesc(GppcAnyTable t);

For example, to retrieve the tuple descriptor of a table that is the first input argument to a function:

GppcAnyTable     intbl;
GppcTupleDesc    in_desc;
intbl = GPPC_GETARG_ANYTABLE(0);
in_desc = GppcAnyTableGetTupleDesc(intbl);

The GppcAnyTableGetNextTuple() function fetches the next row from the table. Similarly, to retrieve the next tuple from the table above:

GppcHeapTuple    ntuple;
ntuple = GppcAnyTableGetNextTuple(intbl);

Limitations

The GPPC API does not support the following operators with Greenplum Database version 5.0.x:

• integer || integer
• integer = text
• text < integer

Sample Code

The gppc test directory in the Greenplum Database github repository includes sample GPPC code:

• gppc_demo/ - sample code exercising GPPC SPI functions, error reporting, data type argument and return macros, set-returning functions, and encoding functions
• tabfunc_gppc_demo/ - sample code exercising GPPC table and set-returning functions

Building a GPPC Shared Library with PGXS

You compile functions that you write with the GPPC API into one or more shared libraries that the Greenplum Database server loads on demand.

You can use the PostgreSQL build extension infrastructure (PGXS) to build the source code for your GPPC functions against a Greenplum Database installation. This framework automates common build rules for simple modules. If you have a more complicated use case, you will need to write your own build system.

To use the PGXS infrastructure to generate a shared library for functions that you create with the GPPC API, create a simple Makefile that sets PGXS-specific variables.

Note: Refer to Extension Building Infrastructure in the PostgreSQL documentation for information about the Makefile variables supported by PGXS.

For example, the following Makefile generates a shared library named sharedlib_name.so from two C source files named src1.c and src2.c:

MODULE_big = sharedlib_name
OBJS = src1.o src2.o
PG_CPPFLAGS = -I$(shell $(PG_CONFIG) --includedir)
SHLIB_LINK = -L$(shell $(PG_CONFIG) --libdir) -lgppc
PG_CONFIG = pg_config
PGXS := $(shell $(PG_CONFIG) --pgxs)
include $(PGXS)

MODULE_big identifes the base name of the shared library generated by the Makefile.

PG_CPPFLAGS adds the Greenplum Database installation include directory to the compiler header file search path.

SHLIB_LINK adds the Greenplum Database installation library directory to the linker search path. This variable also adds the GPPC library (-lgppc) to the link command.

The PG_CONFIG and PGXS variable settings and the include statement are required and typically reside in the last three lines of the Makefile.

Registering a GPPC Function with Greenplum Database

Before users can invoke a GPPC function from SQL, you must register the function with Greenplum Database.

Registering a GPPC function involves mapping the GPPC function signature to a SQL user-defined function. You define this mapping with the CREATE FUNCTION .. AS command specifying the GPPC shared library name. You may choose to use the same name or differing names for the GPPC and SQL functions.

Sample CREATE FUNCTION ... AS syntax follows:

CREATE FUNCTION <sql_function_name>(<arg>[, ...]) RETURNS <return_type>
  AS '<shared_library_path>'[, '<gppc_function_name>']
LANGUAGE C STRICT [WITH (DESCRIBE=<describe_function>)];

You may omit the shared library .so extension when you specify shared\_library\_path.

The following command registers the example add_int4s() function referenced earlier in this topic to a SQL UDF named add_two_int4s_gppc() if the GPPC function was compiled and linked in a shared library named gppc_try.so:

CREATE FUNCTION add_two_int4s_gppc(int4, int4) RETURNS int8
  AS 'gppc_try.so', 'add_int4s'
LANGUAGE C STRICT;

About Dynamic Loading

You specify the name of the GPPC shared library in the SQL CREATE FUNCTION ... AS command to register a GPPC function in the shared library with Greenplum Database. The Greenplum Database dynamic loader loads a GPPC shared library file into memory the first time that a user invokes a user-defined function linked in that shared library. If you do not provide an absolute path to the shared library in the CREATE FUNCTION ... AS command, Greenplum Database attempts to locate the library using these ordered steps:

1. If the shared library file path begins with the string $libdir, Greenplum Database looks for the file in the PostgreSQL package library directory. Run the pg_config --pkglibdir command to determine the location of this directory.
2. If the shared library file name is specified without a directory prefix, Greenplum Database searches for the file in the directory identified by the dynamic_library_path server configuration paramater value.
3. The current working directory.

Packaging and Deployment Considerations

You must package the GPPC shared library and SQL function registration script in a form suitable for deployment by the Greenplum Database administrator in the Greenplum cluster. Provide specific deployment instructions for your GPPC package.

When you construct the package and deployment instructions, take into account the following:

• Consider providing a shell script or program that the Greenplum Database administrator runs to both install the shared library to the desired file system location and register the GPPC functions.
• The GPPC shared library must be installed to the same file system location on the master host and on every segment host in the Greenplum Database cluster.
• The gpadmin user must have permission to traverse the complete file system path to the GPPC shared library file.
• The file system location of your GPPC shared library after it is installed in the Greenplum Database deployment determines how you reference the shared library when you register a function in the library with the CREATE FUNCTION ... AS command.
• Create a .sql script file that registers a SQL UDF for each GPPC function in your GPPC shared library. The functions that you create in the .sql registration script must reference the deployment location of the GPPC shared library. Include this script in your GPPC deployment package.
• Document the instructions for running your GPPC package deployment script, if you provide one.
• Document the instructions for installing the GPPC shared library if you do not include this task in a package deployment script.
• Document the instructions for installing and running the function registration script if you do not include this task in a package deployment script.

GPPC Text Function Example

In this example, you develop, build, and deploy a GPPC shared library and register and run a GPPC function named concat_two_strings. This function uses the GPPC API to concatenate two string arguments and return the result.

You will develop the GPPC function on your Greenplum Database master host. Deploying the GPPC shared library that you create in this example requires administrative access to your Greenplum Database cluster.

Perform the following procedure to run the example:

1. Log in to the Greenplum Database master host and set up your environment. For example:

   $ ssh gpadmin@<gpmaster>
   gpadmin@gpmaster$ . /usr/local/greenplum-db/greenplum_path.sh

2. Create a work directory and navigate to the new directory. For example:

   gpadmin@gpmaster$ mkdir gppc_work
   gpadmin@gpmaster$ cd gppc_work

3. Prepare a file for GPPC source code by opening the file in the editor of your choice. For example, to open a file named gppc_concat.c using vi:

   gpadmin@gpmaster$ vi gppc_concat.c

4. Copy/paste the following code into the file:

   #include <stdio.h>
   #include <string.h>
   #include "gppc.h"
   // make the function SQL-invokable
   GPPC_FUNCTION_INFO(concat_two_strings);
   // declare the function
   GppcDatum concat_two_strings(GPPC_FUNCTION_ARGS);
   GppcDatum
   concat_two_strings(GPPC_FUNCTION_ARGS)
   {
       // retrieve the text input arguments
       GppcText arg0 = GPPC_GETARG_TEXT(0);
       GppcText arg1 = GPPC_GETARG_TEXT(1);
       // determine the size of the concatenated string and allocate
       // text memory of this size
       size_t arg0_len = GppcGetTextLength(arg0);
       size_t arg1_len = GppcGetTextLength(arg1);
       GppcText retstring = GppcAllocText(arg0_len + arg1_len);
       // construct the concatenated return string
       memcpy(GppcGetTextPointer(retstring), GppcGetTextPointer(arg0), arg0_len);
       memcpy(GppcGetTextPointer(retstring) + arg0_len, GppcGetTextPointer(arg1), arg1_len);
       GPPC_RETURN_TEXT( retstring );
   }

   The code declares and implements the concat_two_strings() function. It uses GPPC data types, macros, and functions to get the function arguments, allocate memory for the concatenated string, copy the arguments into the new string, and return the result.

5. Save the file and exit the editor.

6. Open a file named Makefile in the editor of your choice. Copy/paste the following text into the file:

   MODULE_big = gppc_concat
   OBJS = gppc_concat.o
   PG_CONFIG = pg_config
   PGXS := $(shell $(PG_CONFIG) --pgxs)
   PG_CPPFLAGS = -I$(shell $(PG_CONFIG) --includedir)
   SHLIB_LINK = -L$(shell $(PG_CONFIG) --libdir) -lgppc
   include $(PGXS)

7. Save the file and exit the editor.

8. Build a GPPC shared library for the concat_two_strings() function. For example:

   gpadmin@gpmaster$ make all

   The make command generates a shared library file named gppc_concat.so in the current working directory.

9. Copy the shared library to your Greenplum Database installation. You must have Greenplum Database administrative privileges to copy the file. For example:

   gpadmin@gpmaster$ cp gppc_concat.so /usr/local/greenplum-db/lib/postgresql/

10. Copy the shared library to every host in your Greenplum Database installation. For example, if seghostfile contains a list, one-host-per-line, of the segment hosts in your Greenplum Database cluster:

    gpadmin@gpmaster$ gpscp -v -f seghostfile /usr/local/greenplum-db/lib/postgresql/gppc_concat.so =:/usr/local/greenplum-db/lib/postgresql/gppc_concat.so

11. Open a psql session. For example:

    gpadmin@gpmaster$ psql -d testdb

12. Register the GPPC function named concat_two_strings() with Greenplum Database, For example, to map the Greenplum Database function concat_with_gppc() to the GPPC concat_two_strings() function:

    testdb=# CREATE FUNCTION concat_with_gppc(text, text) RETURNS text
     AS 'gppc_concat', 'concat_two_strings'
    LANGUAGE C STRICT;

13. Run the concat_with_gppc() function. For example:

    testdb=# SELECT concat_with_gppc( 'happy', 'monday' );
    concat_with_gppc
    ------------------
    happymonday
    (1 row)

GPPC Set-Returning Function Example

In this example, you develop, build, and deploy a GPPC shared library. You also create and run a .sql registration script for a GPPC function named return_tbl(). This function uses the GPPC API to take an input table with an integer and a text column, determine if the integer column is greater than 13, and returns a result table with the input integer column and a boolean column identifying whether or not the integer is greater than 13. return_tbl() utilizes GPPC API reporting and SRF functions and macros.

You will develop the GPPC function on your Greenplum Database master host. Deploying the GPPC shared library that you create in this example requires administrative access to your Greenplum Database cluster.

Perform the following procedure to run the example:

1. Log in to the Greenplum Database master host and set up your environment. For example:

   $ ssh gpadmin@<gpmaster>
   gpadmin@gpmaster$ . /usr/local/greenplum-db/greenplum_path.sh

2. Create a work directory and navigate to the new directory. For example:

   gpadmin@gpmaster$ mkdir gppc_work
   gpadmin@gpmaster$ cd gppc_work

3. Prepare a source file for GPPC code by opening the file in the editor of your choice. For example, to open a file named gppc_concat.c using vi:

   gpadmin@gpmaster$ vi gppc_rettbl.c

4. Copy/paste the following code into the file:

   #include <stdio.h>
   #include <string.h>
   #include "gppc.h"
   // initialize the logging level
   GppcReportLevel level = GPPC_INFO;
   // make the function SQL-invokable and declare the function
   GPPC_FUNCTION_INFO(return_tbl);
   GppcDatum return_tbl(GPPC_FUNCTION_ARGS);
   GppcDatum
   return_tbl(GPPC_FUNCTION_ARGS)
   {
       GppcFuncCallContext    fctx;
       GppcAnyTable    intbl;
       GppcHeapTuple    intuple;
       GppcTupleDesc    in_tupdesc, out_tupdesc;
       GppcBool          resbool = false;
       GppcDatum          result, boolres, values[2];
       bool        nulls[2] = {false, false};
       // single input argument - the table
       intbl = GPPC_GETARG_ANYTABLE(0);
       // set the function context
       if (GPPC_SRF_IS_FIRSTCALL()) {
           fctx = GPPC_SRF_FIRSTCALL_INIT();
       }
       fctx = GPPC_SRF_PERCALL_SETUP();
       // get the tuple descriptor for the input table
       in_tupdesc  = GppcAnyTableGetTupleDesc(intbl);
       // retrieve the next tuple
       intuple = GppcAnyTableGetNextTuple(intbl);
       if( intuple == NULL ) {
         // no more tuples, conclude
         GPPC_SRF_RETURN_DONE(fctx);
       }
       // get the output tuple descriptor and verify that it is
       // defined as we expect
       out_tupdesc = GPPC_SRF_RESULT_DESC();
       if (GppcTupleDescNattrs(out_tupdesc) != 2                ||
           GppcTupleDescAttrType(out_tupdesc, 0) != GppcOidInt4 ||
           GppcTupleDescAttrType(out_tupdesc, 1) != GppcOidBool) {
           GppcReport(GPPC_ERROR, "INVALID out_tupdesc tuple");
       }
       // log the attribute names of the output tuple descriptor
       GppcReport(level, "ouput tuple descriptor attr0 name: %s", GppcTupleDescAttrName(out_tupdesc, 0));
       GppcReport(level, "ouput tuple descriptor attr1 name: %s", GppcTupleDescAttrName(out_tupdesc, 1));
       // retrieve the attribute values by name from the tuple
       bool text_isnull, int_isnull;
       GppcDatum intdat = GppcGetAttributeByName(intuple, "id", &int_isnull);
       GppcDatum textdat = GppcGetAttributeByName(intuple, "msg", &text_isnull);
       // convert datum to specific type
       GppcInt4 intarg = GppcDatumGetInt4(intdat);
       GppcReport(level, "id: %d", intarg);
       GppcReport(level, "msg: %s", GppcTextGetCString(GppcDatumGetText(textdat)));
       // perform the >13 check on the integer
       if( !int_isnull && (intarg > 13) ) {
           // greater than 13?
           resbool = true;
           GppcReport(level, "id is greater than 13!");
       }
       // values are datums; use integer from the tuple and
       // construct the datum for the boolean return
       values[0] = intdat;
       boolres = GppcBoolGetDatum(resbool);
       values[1] = boolres;
       // build a datum tuple and return
       result = GppcBuildHeapTupleDatum(out_tupdesc, values, nulls);
       GPPC_SRF_RETURN_NEXT(fctx, result);
   }

   The code declares and implements the return_tbl() function. It uses GPPC data types, macros, and functions to fetch the function arguments, examine tuple descriptors, build the return tuple, and return the result. The function also uses the SRF macros to keep track of the tuple context across function calls.

5. Save the file and exit the editor.

6. Open a file named Makefile in the editor of your choice. Copy/paste the following text into the file:

   MODULE_big = gppc_rettbl
   OBJS = gppc_rettbl.o
   PG_CONFIG = pg_config
   PGXS := $(shell $(PG_CONFIG) --pgxs)
   PG_CPPFLAGS = -I$(shell $(PG_CONFIG) --includedir)
   SHLIB_LINK = -L$(shell $(PG_CONFIG) --libdir) -lgppc
   include $(PGXS)

7. Save the file and exit the editor.

8. Build a GPPC shared library for the return_tbl() function. For example:

   gpadmin@gpmaster$ make all

   The make command generates a shared library file named gppc_rettbl.so in the current working directory.

9. Copy the shared library to your Greenplum Database installation. You must have Greenplum Database administrative privileges to copy the file. For example:

   gpadmin@gpmaster$ cp gppc_rettbl.so /usr/local/greenplum-db/lib/postgresql/

   This command copies the shared library to $libdir

10. Copy the shared library to every host in your Greenplum Database installation. For example, if seghostfile contains a list, one-host-per-line, of the segment hosts in your Greenplum Database cluster:

    gpadmin@gpmaster$ gpscp -v -f seghostfile /usr/local/greenplum-db/lib/postgresql/gppc_rettbl.so =:/usr/local/greenplum-db/lib/postgresql/gppc_rettbl.so

11. Create a .sql file to register the GPPC return_tbl() function. Open a file named gppc_rettbl_reg.sql in the editor of your choice.

12. Copy/paste the following text into the file:

    CREATE FUNCTION rettbl_gppc(anytable) RETURNS TABLE(id int4, thirteen bool)
     AS 'gppc_rettbl', 'return_tbl'
    LANGUAGE C STRICT;

13. Register the GPPC function by running the script you just created. For example, to register the function in a database named testdb:

    gpadmin@gpmaster$ psql -d testdb -f gppc_rettbl_reg.sql

14. Open a psql session. For example:

    gpadmin@gpmaster$ psql -d testdb

15. Create a table with some test data. For example:

    CREATE TABLE gppc_testtbl( id int, msg text );
    INSERT INTO gppc_testtbl VALUES (1, 'f1');
    INSERT INTO gppc_testtbl VALUES (7, 'f7');
    INSERT INTO gppc_testtbl VALUES (10, 'f10');
    INSERT INTO gppc_testtbl VALUES (13, 'f13');
    INSERT INTO gppc_testtbl VALUES (15, 'f15');
    INSERT INTO gppc_testtbl VALUES (17, 'f17');

16. Run the rettbl_gppc() function. For example:

    testdb=# SELECT * FROM rettbl_gppc(TABLE(SELECT * FROM gppc_testtbl));
    id | thirteen 
    ----+----------
     1 | f
     7 | f
    13 | f
    15 | t
    17 | t
    10 | f
    (6 rows)