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Commit 48a77e61 authored by Olivier Bertrand's avatar Olivier Bertrand
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Make this repository aligned with 10.0 one

parent 464947e6
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.gitattributes
View file @ 48a77e61
# Set the default behavior, in case people don't have core.autocrlf set.
* text=auto
# Explicitly declare text files you want to always be normalized and converted
# to native line endings on checkout.
*.c text
*.cc text
*.cpp text
*.h text
*.test text
# Declare files that will always have LF line endings on checkout.
*.result text eol=lf
storage/connect/mysql-test/connect/std_data/*.txt text eol=lf
storage/connect/mysql-test/connect/std_data/*.dat text eol=lf
# Denote all files that are truly binary and should not be modified.
*.png binary
*.jpg binary
*.c diff=cpp
*.h diff=cpp
*.cc diff=cpp
......
storage/connect/ha_connect.cc
View file @ 48a77e61
......@@ -2173,12 +2173,12 @@ int ha_connect::CheckRecord(PGLOBAL g, const uchar *oldbuf, uchar *newbuf)
/***********************************************************************/
/* Return the where clause for remote indexed read. */
/***********************************************************************/
bool ha_connect::MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
bool ha_connect::MakeKeyWhere(PGLOBAL g, PSTRG qry, OPVAL op, char q,
const void *key, int klen)
{
const uchar *ptr;
uint rem, len, stlen; //, prtlen;
bool nq, b= false;
bool nq, oom, b= false;
Field *fp;
KEY *kfp;
KEY_PART_INFO *kpart;
......@@ -2190,7 +2190,7 @@ bool ha_connect::MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
return true;
} // endif key
strcat(qry, " WHERE (");
oom= qry->Append(" WHERE (");
kfp= &table->key_info[active_index];
rem= kfp->user_defined_key_parts,
len= klen,
......@@ -2203,24 +2203,26 @@ bool ha_connect::MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
nq= fp->str_needs_quotes();
if (b)
strcat(qry, " AND ");
oom|= qry->Append(" AND ");
else
b= true;
strcat(strncat(strcat(qry, q), fp->field_name, strlen(fp->field_name)), q);
oom|= qry->Append(q);
oom|= qry->Append((PSZ)fp->field_name);
oom|= qry->Append(q);
switch (op) {
case OP_EQ:
case OP_GT:
case OP_GE:
strcat(qry, GetValStr(op, false));
oom|= qry->Append((PSZ)GetValStr(op, false));
break;
default:
strcat(qry, " ??? ");
oom|= qry->Append(" ??? ");
} // endwitch op
if (nq)
strcat(qry, "'");
oom|= qry->Append('\'');
if (kpart->key_part_flag & HA_VAR_LENGTH_PART) {
String varchar;
......@@ -2228,17 +2230,17 @@ bool ha_connect::MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
varchar.set_quick((char*) ptr+HA_KEY_BLOB_LENGTH,
var_length, &my_charset_bin);
strncat(qry, varchar.ptr(), varchar.length());
oom|= qry->Append(varchar.ptr(), varchar.length());
} else {
char strbuff[MAX_FIELD_WIDTH];
String str(strbuff, sizeof(strbuff), kpart->field->charset()), *res;
res= fp->val_str(&str, ptr);
strncat(qry, res->ptr(), res->length());
oom|= qry->Append(res->ptr(), res->length());
} // endif flag
if (nq)
strcat(qry, "'");
oom|= qry->Append('\'');
if (stlen >= len)
break;
......@@ -2251,8 +2253,10 @@ bool ha_connect::MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
ptr+= stlen - MY_TEST(kpart->null_bit);
} // endfor kpart
strcat(qry, ")");
return false;
if ((oom|= qry->Append(")")))
strcpy(g->Message, "Out of memory");
return oom;
} // end of MakeKeyWhere
......@@ -2714,7 +2718,12 @@ PCFIL ha_connect::CheckCond(PGLOBAL g, PCFIL filp, AMT tty, Item *cond)
case MYSQL_TYPE_DATETIME:
if (tty == TYPE_AM_ODBC) {
strcat(body, "{ts '");
strcat(strncat(body, res->ptr(), res->length()), "'}");
strncat(body, res->ptr(), res->length());
if (res->length() < 19)
strcat(body, "1970-01-01 00:00:00" + res->length());
strcat(body, "'}");
break;
} // endif ODBC
......@@ -2739,6 +2748,10 @@ PCFIL ha_connect::CheckCond(PGLOBAL g, PCFIL filp, AMT tty, Item *cond)
case MYSQL_TYPE_DATETIME:
strcat(body, "{ts '");
strncat(body, res->ptr(), res->length());
if (res->length() < 19)
strcat(body, "1970-01-01 00:00:00" + res->length());
strcat(body, "'}");
break;
case MYSQL_TYPE_DATE:
......@@ -4134,6 +4147,10 @@ MODE ha_connect::CheckMode(PGLOBAL g, THD *thd,
break;
// } // endif partitioned
case SQLCOM_END:
// Met in procedures: IF(EXISTS(SELECT...
newmode= MODE_READ;
break;
default:
htrc("Unsupported sql_command=%d\n", thd_sql_command(thd));
strcpy(g->Message, "CONNECT Unsupported command");
......
storage/connect/ha_connect.h
View file @ 48a77e61
......@@ -235,7 +235,7 @@ class ha_connect: public handler
int CheckRecord(PGLOBAL g, const uchar *oldbuf, uchar *newbuf);
int ReadIndexed(uchar *buf, OPVAL op, const uchar* key= NULL,
uint key_len= 0);
bool MakeKeyWhere(PGLOBAL g, char *qry, OPVAL op, char *q,
bool MakeKeyWhere(PGLOBAL g, PSTRG qry, OPVAL op, char q,
const void *key, int klen);
inline char *Strz(LEX_STRING &ls);
......
storage/connect/mysql-test/connect/r/json.result
View file @ 48a77e61
......@@ -12,7 +12,7 @@ TRANSLATION CHAR(32),
TRANSLATOR CHAR(80),
PUBLISHER CHAR(32),
DATEPUB int(4)
) ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
) ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
ISBN LANG SUBJECT AUTHOR TITLE TRANSLATION TRANSLATOR PUBLISHER DATEPUB
9782212090819 fr applications Jean-Christophe Bernadac Construire une application XML Eyrolles Paris 1999
......@@ -34,7 +34,7 @@ Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
ISBN Language Subject Authors Title Translation Translator Publisher Location Year
9782212090819 fr applications 2 Construire une application XML Eyrolles Paris 1999
......@@ -57,7 +57,7 @@ Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
ISBN Language Subject AuthorFN AuthorLN Title Translation Translator Publisher Location Year
9782212090819 fr applications Jean-Christophe and Franois Bernadac and Knab Construire une application XML Eyrolles Paris 1999
......@@ -80,7 +80,7 @@ Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
ISBN Language Subject AuthorFN AuthorLN Title Translation Translator Publisher Location Year
9782212090819 fr applications Jean-Christophe Bernadac Construire une application XML Eyrolles Paris 1999
......@@ -89,23 +89,23 @@ ISBN Language Subject AuthorFN AuthorLN Title Translation Translator Publisher L
UPDATE t1 SET AuthorFN = 'Philippe' WHERE AuthorLN = 'Knab';
SELECT * FROM t1 WHERE ISBN = '9782212090819';
ISBN Language Subject AuthorFN AuthorLN Title Translation Translator Publisher Location Year
9782212090819 fr applications Jean-Christophe Bernadac Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Philippe Knab Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Philippe Bernadac Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Franois Knab Construire une application XML Eyrolles Paris 1999
#
# To add an author a new table must be created
#
CREATE TABLE t2 (
FIRSTNAME CHAR(32),
LASTNAME CHAR(32))
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn' OPTION_LIST='Object=[2]:AUTHOR';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json' OPTION_LIST='Object=[2]:AUTHOR';
SELECT * FROM t2;
FIRSTNAME LASTNAME
William J. Pardi
INSERT INTO t2 VALUES('Charles','Dickens');
SELECT * FROM t1;
ISBN Language Subject AuthorFN AuthorLN Title Translation Translator Publisher Location Year
9782212090819 fr applications Jean-Christophe Bernadac Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Philippe Knab Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Philippe Bernadac Construire une application XML Eyrolles Paris 1999
9782212090819 fr applications Franois Knab Construire une application XML Eyrolles Paris 1999
9782840825685 fr applications William J. Pardi XML en Action adapt de l'anglais par James Guerin Microsoft Press Paris 1999
9782840825685 fr applications Charles Dickens XML en Action adapt de l'anglais par James Guerin Microsoft Press Paris 1999
DROP TABLE t1;
......@@ -117,7 +117,7 @@ CREATE TABLE t1
(
line char(255)
)
ENGINE=CONNECT TABLE_TYPE=DOS FILE_NAME='biblio.jsn';
ENGINE=CONNECT TABLE_TYPE=DOS FILE_NAME='biblio.json';
SELECT * FROM t1;
line
[
......@@ -127,11 +127,11 @@ line
"SUBJECT": "applications",
"AUTHOR": [
{
"FIRSTNAME": "Jean-Christophe",
"FIRSTNAME": "Philippe",
"LASTNAME": "Bernadac"
},
{
"FIRSTNAME": "Philippe",
"FIRSTNAME": "Franois",
"LASTNAME": "Knab"
}
],
......@@ -178,7 +178,7 @@ WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK::EXPENSE:["+"]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK::EXPENSE:[+]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t1;
WHO WEEK WHAT AMOUNT
Joe 3 Beer+Food+Food+Car 69.00
......@@ -192,16 +192,60 @@ Janet 4 Car 17.00
Janet 5 Beer+Car+Beer+Food 57.00
DROP TABLE t1;
#
# Cannot be fully expanded
# Now it can be fully expanded
#
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t1;
WHO WEEK WHAT AMOUNT
Joe 3 Beer 18.00
Joe 3 Food 12.00
Joe 3 Food 19.00
Joe 3 Car 20.00
Joe 4 Beer 19.00
Joe 4 Beer 16.00
Joe 4 Food 17.00
Joe 4 Food 17.00
Joe 4 Beer 14.00
Joe 5 Beer 14.00
Joe 5 Food 12.00
Beth 3 Beer 16.00
Beth 4 Food 17.00
Beth 4 Beer 15.00
Beth 5 Food 12.00
Beth 5 Beer 20.00
Janet 3 Car 19.00
Janet 3 Food 18.00
Janet 3 Beer 18.00
Janet 4 Car 17.00
Janet 5 Beer 14.00
Janet 5 Car 12.00
Janet 5 Beer 19.00
Janet 5 Food 12.00
DROP TABLE t1;
#
# A table showing many calculated results
#
CREATE TABLE t1 (
WHO CHAR(12) NOT NULL,
WEEKS CHAR(12) NOT NULL FIELD_FORMAT='WEEK:[", "]:NUMBER',
SUMS CHAR(64) NOT NULL FIELD_FORMAT='WEEK:["+"]:EXPENSE:[+]:AMOUNT',
SUM DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[+]:EXPENSE:[+]:AMOUNT',
AVGS CHAR(64) NOT NULL FIELD_FORMAT='WEEK:["+"]:EXPENSE:[!]:AMOUNT',
SUMAVG DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[+]:EXPENSE:[!]:AMOUNT',
AVGSUM DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[+]:AMOUNT',
AVGAVG DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[!]:AMOUNT',
AVERAGE DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t1;
ERROR HY000: Got error 174 'Cannot expand more than one array' from CONNECT
WHO WEEKS SUMS SUM AVGS SUMAVG AVGSUM AVGAVG AVERAGE
Joe 3, 4, 5 69.00+83.00+26.00 178.00 17.25+16.60+13.00 46.85 59.33 15.62 16.18
Beth 3, 4, 5 16.00+32.00+32.00 80.00 16.00+16.00+16.00 48.00 26.67 16.00 16.00
Janet 3, 4, 5 55.00+17.00+57.00 129.00 18.33+17.00+14.25 49.58 43.00 16.53 16.12
DROP TABLE t1;
#
# Expand expense in 3 one week tables
......@@ -211,7 +255,7 @@ WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[1]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t2;
WHO WEEK WHAT AMOUNT
Joe 3 Beer 18.00
......@@ -227,7 +271,7 @@ WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[2]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t3;
WHO WEEK WHAT AMOUNT
Joe 4 Beer 19.00
......@@ -243,7 +287,7 @@ WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[3]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t4;
WHO WEEK WHAT AMOUNT
Joe 5 Beer 14.00
......@@ -298,7 +342,7 @@ WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp3.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp3.json';
SELECT * FROM t2;
WHO WEEK WHAT AMOUNT
Joe 3 Beer 18.00
......@@ -314,7 +358,7 @@ WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp4.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp4.json';
SELECT * FROM t3;
WHO WEEK WHAT AMOUNT
Joe 4 Beer 19.00
......@@ -330,7 +374,7 @@ WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp5.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp5.json';
SELECT * FROM t4;
WHO WEEK WHAT AMOUNT
Joe 5 Beer 14.00
......@@ -349,7 +393,7 @@ WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp*.jsn' MULTIPLE=1;
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp*.json' MULTIPLE=1;
SELECT * FROM t1 ORDER BY WHO, WEEK, WHAT, AMOUNT;
WHO WEEK WHAT AMOUNT
Beth 3 Beer 16.00
......@@ -385,7 +429,7 @@ WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp%s.jsn';
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp%s.json';
ALTER TABLE t1
PARTITION BY LIST COLUMNS(WEEK) (
PARTITION `3` VALUES IN(3),
......
storage/connect/mysql-test/connect/r/json_udf.result 0 → 100644
View file @ 48a77e61
#
# Test UDF's with constant arguments
#
SELECT Json_Array();
Json_Array()
[]
SELECT Json_Object(56,3.1416,'foo',NULL);
Json_Object(56,3.1416,'foo',NULL)
{"56":56,"3.1416":3.141600,"foo":"foo","NULL":null}
SELECT Json_Object(56 qty,3.1416 price,'foo' truc, NULL garanty);
Json_Object(56 qty,3.1416 price,'foo' truc, NULL garanty)
{"qty":56,"price":3.141600,"truc":"foo","garanty":null}
SELECT Json_Array(56,3.1416,'My name is "Foo"',NULL);
Json_Array(56,3.1416,'My name is "Foo"',NULL)
[56,3.141600,"My name is \"Foo\"",null]
SELECT Json_Array_Add(Json_Array(56,3.1416,'foo',NULL)) Array;
ERROR HY000: Can't initialize function 'Json_Array_Add'; Json_Value_Add must have at least 2 arguments
SELECT Json_Array_Add(Json_Array(56,3.1416,'foo',NULL),'One more') Array;
Array
[56,3.141600,"foo",null,"One more"]
SELECT Json_Array_Add(Json_Value('one value'),'One more');
Json_Array_Add(Json_Value('one value'),'One more')
["one value","One more"]
SELECT Json_Array_Add('one value','One more');
ERROR HY000: Can't initialize function 'Json_Array_Add'; Json_Value_Add first argument must be a json item
SELECT Json_Array_Add('one value' json_,'One more');
Json_Array_Add('one value' json_,'One more')
[null,"One more"]
Warnings:
Warning 1105 Bad 'o' character near one value
SELECT Json_Value(56,3.1416,'foo',NULL);
ERROR HY000: Can't initialize function 'Json_Value'; Json_Value cannot accept more than 1 argument
SELECT Json_Value(3.1416);
Json_Value(3.1416)
3.141600
SELECT Json_Value('foo');
Json_Value('foo')
"foo"
SELECT Json_Value(NULL);
Json_Value(NULL)
null
SELECT Json_Value();
Json_Value()
null
SELECT Json_Object();
Json_Object()
{}
SELECT Json_Object(Json_Array(56,3.1416,'foo'),NULL);
Json_Object(Json_Array(56,3.1416,'foo'),NULL)
{"Array(56,3.1416,'foo')":[56,3.141600,"foo"],"NULL":null}
SELECT Json_Array(Json_Array(56,3.1416,'foo'),NULL);
Json_Array(Json_Array(56,3.1416,'foo'),NULL)
[[56,3.141600,"foo"],null]
SELECT Json_Array(Json_Object(56 "qty",3.1416 "price",'foo'),NULL);
Json_Array(Json_Object(56 "qty",3.1416 "price",'foo'),NULL)
[{"qty":56,"price":3.141600,"foo":"foo"},null]
#
# Test UDF's with column arguments
#
CREATE TABLE t1
(
ISBN CHAR(15),
LANG CHAR(2),
SUBJECT CHAR(32),
AUTHOR CHAR(64),
TITLE CHAR(32),
TRANSLATION CHAR(32),
TRANSLATOR CHAR(80),
PUBLISHER CHAR(32),
DATEPUB int(4)
) ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT Json_Array(AUTHOR, TITLE, DATEPUB) FROM t1;
Json_Array(AUTHOR, TITLE, DATEPUB)
["Jean-Christophe Bernadac","Construire une application XML",1999]
["William J. Pardi","XML en Action",1999]
SELECT Json_Object(AUTHOR, TITLE, DATEPUB) FROM t1;
Json_Object(AUTHOR, TITLE, DATEPUB)
{"AUTHOR":"Jean-Christophe Bernadac","TITLE":"Construire une application XML","DATEPUB":1999}
{"AUTHOR":"William J. Pardi","TITLE":"XML en Action","DATEPUB":1999}
SELECT Json_Array_Grp(TITLE, DATEPUB) FROM t1;
ERROR HY000: Can't initialize function 'Json_Array_Grp'; Json_Array_Grp can only accept 1 argument
SELECT Json_Array_Grp(TITLE) FROM t1;
Json_Array_Grp(TITLE)
["Construire une application XML","XML en Action"]
DROP TABLE t1;
CREATE TABLE t1 (
SERIALNO CHAR(5) NOT NULL,
NAME VARCHAR(12) NOT NULL FLAG=6,
SEX SMALLINT(1) NOT NULL,
TITLE VARCHAR(15) NOT NULL FLAG=20,
MANAGER CHAR(5) DEFAULT NULL,
DEPARTMENT CHAr(4) NOT NULL FLAG=41,
SECRETARY CHAR(5) DEFAULT NULL FLAG=46,
SALARY DOUBLE(8,2) NOT NULL FLAG=52
) ENGINE=CONNECT TABLE_TYPE=FIX BLOCK_SIZE=8 FILE_NAME='employee.dat' ENDING=1;
SELECT Json_Object(SERIALNO, NAME, TITLE, SALARY) FROM t1 WHERE NAME = 'MERCHANT';
Json_Object(SERIALNO, NAME, TITLE, SALARY)
{"SERIALNO":"78943","NAME":"MERCHANT","TITLE":"SALESMAN","SALARY":8700.000000}
SELECT DEPARTMENT, Json_Array_Grp(NAME) FROM t1 GROUP BY DEPARTMENT;
DEPARTMENT Json_Array_Grp(NAME)
0021 ["STRONG","SHORTSIGHT"]
0318 ["BANCROFT","PLUMHEAD","HONEY","TONGHO","WALTER","SHRINKY","WERTHER","MERCHANT","WHEELFOR"]
0319 ["BULLOZER","QUINN","BROWNY","KITTY","MONAPENNY","MARTIN","FUNNIGUY","BUGHAPPY","FODDERMAN","MESSIFUL"]
2452 ["BIGHEAD","ORELLY","BIGHORN","SMITH","CHERRY"]
Warnings:
Warning 1105 Result truncated to json_grp_size values
set connect_json_grp_size=30;
SELECT Json_Array(DEPARTMENT, Json_Array_Grp(NAME)) FROM t1 GROUP BY DEPARTMENT;
Json_Array(DEPARTMENT, Json_Array_Grp(NAME))
["0021",["STRONG","SHORTSIGHT"]]
["0318",["BANCROFT","PLUMHEAD","HONEY","TONGHO","WALTER","SHRINKY","WERTHER","MERCHANT","WHEELFOR"]]
["0319",["BULLOZER","QUINN","BROWNY","KITTY","MONAPENNY","MARTIN","FUNNIGUY","BUGHAPPY","FODDERMAN","MESSIFUL","GOOSEPEN"]]
["2452",["BIGHEAD","ORELLY","BIGHORN","SMITH","CHERRY"]]
SELECT Json_Object(DEPARTMENT, Json_Array_Grp(NAME) json_NAMES) FROM t1 GROUP BY DEPARTMENT;
Json_Object(DEPARTMENT, Json_Array_Grp(NAME) json_NAMES)
{"DEPARTMENT":"0021","NAMES":["STRONG","SHORTSIGHT"]}
{"DEPARTMENT":"0318","NAMES":["BANCROFT","PLUMHEAD","HONEY","TONGHO","WALTER","SHRINKY","WERTHER","MERCHANT","WHEELFOR"]}
{"DEPARTMENT":"0319","NAMES":["BULLOZER","QUINN","BROWNY","KITTY","MONAPENNY","MARTIN","FUNNIGUY","BUGHAPPY","FODDERMAN","MESSIFUL","GOOSEPEN"]}
{"DEPARTMENT":"2452","NAMES":["BIGHEAD","ORELLY","BIGHORN","SMITH","CHERRY"]}
SELECT Json_Object(DEPARTMENT, Json_Array_Grp(Json_Object(SERIALNO, NAME, TITLE, SALARY)) json_EMPLOYES) FROM t1 GROUP BY DEPARTMENT;
Json_Object(DEPARTMENT, Json_Array_Grp(Json_Object(SERIALNO, NAME, TITLE, SALARY)) json_EMPLOYES)
{"DEPARTMENT":"0021","EMPLOYES":[{"SERIALNO":"87777","NAME":"STRONG","TITLE":"DIRECTOR","SALARY":23000.000000},{"SERIALNO":"22222","NAME":"SHORTSIGHT","TITLE":"SECRETARY","SALARY":5500.000000}]}
{"DEPARTMENT":"0318","EMPLOYES":[{"SERIALNO":"74200","NAME":"BANCROFT","TITLE":"SALESMAN","SALARY":9600.000000},{"SERIALNO":"24888","NAME":"PLUMHEAD","TITLE":"TYPIST","SALARY":2800.000000},{"SERIALNO":"27845","NAME":"HONEY","TITLE":"SECRETARY","SALARY":4900.000000},{"SERIALNO":"73452","NAME":"TONGHO","TITLE":"ENGINEER","SALARY":6800.000000},{"SERIALNO":"74234","NAME":"WALTER","TITLE":"ENGINEER","SALARY":7400.000000},{"SERIALNO":"77777","NAME":"SHRINKY","TITLE":"ADMINISTRATOR","SALARY":7500.000000},{"SERIALNO":"70012","NAME":"WERTHER","TITLE":"DIRECTOR","SALARY":14500.000000},{"SERIALNO":"78943","NAME":"MERCHANT","TITLE":"SALESMAN","SALARY":8700.000000},{"SERIALNO":"73111","NAME":"WHEELFOR","TITLE":"SALESMAN","SALARY":10030.000000}]}
{"DEPARTMENT":"0319","EMPLOYES":[{"SERIALNO":"76543","NAME":"BULLOZER","TITLE":"SALESMAN","SALARY":14800.000000},{"SERIALNO":"40567","NAME":"QUINN","TITLE":"DIRECTOR","SALARY":14000.000000},{"SERIALNO":"00137","NAME":"BROWNY","TITLE":"ENGINEER","SALARY":10500.000000},{"SERIALNO":"12345","NAME":"KITTY","TITLE":"TYPIST","SALARY":3000.450000},{"SERIALNO":"33333","NAME":"MONAPENNY","TITLE":"SECRETARY","SALARY":3800.000000},{"SERIALNO":"00023","NAME":"MARTIN","TITLE":"ENGINEER","SALARY":10000.000000},{"SERIALNO":"07654","NAME":"FUNNIGUY","TITLE":"ADMINISTRATOR","SALARY":8500.000000},{"SERIALNO":"45678","NAME":"BUGHAPPY","TITLE":"PROGRAMMER","SALARY":8500.000000},{"SERIALNO":"56789","NAME":"FODDERMAN","TITLE":"SALESMAN","SALARY":7000.000000},{"SERIALNO":"55555","NAME":"MESSIFUL","TITLE":"SECRETARY","SALARY":5000.500000},{"SERIALNO":"98765","NAME":"GOOSEPEN","TITLE":"ADMINISTRATOR","SALARY":4700.000000}]}
{"DEPARTMENT":"2452","EMPLOYES":[{"SERIALNO":"34567","NAME":"BIGHEAD","TITLE":"SCIENTIST","SALARY":8000.000000},{"SERIALNO":"31416","NAME":"ORELLY","TITLE":"ENGINEER","SALARY":13400.000000},{"SERIALNO":"36666","NAME":"BIGHORN","TITLE":"SCIENTIST","SALARY":11000.000000},{"SERIALNO":"02345","NAME":"SMITH","TITLE":"ENGINEER","SALARY":9000.000000},{"SERIALNO":"11111","NAME":"CHERRY","TITLE":"SECRETARY","SALARY":4500.000000}]}
SELECT Json_Object(DEPARTMENT, TITLE, Json_Array_Grp(Json_Object(SERIALNO, NAME, SALARY)) json_EMPLOYES) FROM t1 GROUP BY DEPARTMENT, TITLE;
Json_Object(DEPARTMENT, TITLE, Json_Array_Grp(Json_Object(SERIALNO, NAME, SALARY)) json_EMPLOYES)
{"DEPARTMENT":"0021","TITLE":"DIRECTOR","EMPLOYES":[{"SERIALNO":"87777","NAME":"STRONG","SALARY":23000.000000}]}
{"DEPARTMENT":"0021","TITLE":"SECRETARY","EMPLOYES":[{"SERIALNO":"22222","NAME":"SHORTSIGHT","SALARY":5500.000000}]}
{"DEPARTMENT":"0318","TITLE":"ADMINISTRATOR","EMPLOYES":[{"SERIALNO":"77777","NAME":"SHRINKY","SALARY":7500.000000}]}
{"DEPARTMENT":"0318","TITLE":"DIRECTOR","EMPLOYES":[{"SERIALNO":"70012","NAME":"WERTHER","SALARY":14500.000000}]}
{"DEPARTMENT":"0318","TITLE":"ENGINEER","EMPLOYES":[{"SERIALNO":"73452","NAME":"TONGHO","SALARY":6800.000000},{"SERIALNO":"74234","NAME":"WALTER","SALARY":7400.000000}]}
{"DEPARTMENT":"0318","TITLE":"SALESMAN","EMPLOYES":[{"SERIALNO":"74200","NAME":"BANCROFT","SALARY":9600.000000},{"SERIALNO":"78943","NAME":"MERCHANT","SALARY":8700.000000},{"SERIALNO":"73111","NAME":"WHEELFOR","SALARY":10030.000000}]}
{"DEPARTMENT":"0318","TITLE":"SECRETARY","EMPLOYES":[{"SERIALNO":"27845","NAME":"HONEY","SALARY":4900.000000}]}
{"DEPARTMENT":"0318","TITLE":"TYPIST","EMPLOYES":[{"SERIALNO":"24888","NAME":"PLUMHEAD","SALARY":2800.000000}]}
{"DEPARTMENT":"0319","TITLE":"ADMINISTRATOR","EMPLOYES":[{"SERIALNO":"98765","NAME":"GOOSEPEN","SALARY":4700.000000},{"SERIALNO":"07654","NAME":"FUNNIGUY","SALARY":8500.000000}]}
{"DEPARTMENT":"0319","TITLE":"DIRECTOR","EMPLOYES":[{"SERIALNO":"40567","NAME":"QUINN","SALARY":14000.000000}]}
{"DEPARTMENT":"0319","TITLE":"ENGINEER","EMPLOYES":[{"SERIALNO":"00023","NAME":"MARTIN","SALARY":10000.000000},{"SERIALNO":"00137","NAME":"BROWNY","SALARY":10500.000000}]}
{"DEPARTMENT":"0319","TITLE":"PROGRAMMER","EMPLOYES":[{"SERIALNO":"45678","NAME":"BUGHAPPY","SALARY":8500.000000}]}
{"DEPARTMENT":"0319","TITLE":"SALESMAN","EMPLOYES":[{"SERIALNO":"76543","NAME":"BULLOZER","SALARY":14800.000000},{"SERIALNO":"56789","NAME":"FODDERMAN","SALARY":7000.000000}]}
{"DEPARTMENT":"0319","TITLE":"SECRETARY","EMPLOYES":[{"SERIALNO":"33333","NAME":"MONAPENNY","SALARY":3800.000000},{"SERIALNO":"55555","NAME":"MESSIFUL","SALARY":5000.500000}]}
{"DEPARTMENT":"0319","TITLE":"TYPIST","EMPLOYES":[{"SERIALNO":"12345","NAME":"KITTY","SALARY":3000.450000}]}
{"DEPARTMENT":"2452","TITLE":"ENGINEER","EMPLOYES":[{"SERIALNO":"31416","NAME":"ORELLY","SALARY":13400.000000},{"SERIALNO":"02345","NAME":"SMITH","SALARY":9000.000000}]}
{"DEPARTMENT":"2452","TITLE":"SCIENTIST","EMPLOYES":[{"SERIALNO":"34567","NAME":"BIGHEAD","SALARY":8000.000000},{"SERIALNO":"36666","NAME":"BIGHORN","SALARY":11000.000000}]}
{"DEPARTMENT":"2452","TITLE":"SECRETARY","EMPLOYES":[{"SERIALNO":"11111","NAME":"CHERRY","SALARY":4500.000000}]}
SELECT Json_Object_Grp(SALARY) FROM t1;
ERROR HY000: Can't initialize function 'Json_Object_Grp'; Json_Array_Grp can only accept 2 arguments
SELECT Json_Object_Grp(SALARY, NAME) FROM t1;
Json_Object_Grp(SALARY, NAME)
{"BANCROFT":9600.000000,"SMITH":9000.000000,"MERCHANT":8700.000000,"FUNNIGUY":8500.000000,"BUGHAPPY":8500.000000,"BIGHEAD":8000.000000,"SHRINKY":7500.000000,"WALTER":7400.000000,"FODDERMAN":7000.000000,"TONGHO":6800.000000,"SHORTSIGHT":5500.000000,"MESSIFUL":5000.500000,"HONEY":4900.000000,"GOOSEPEN":4700.000000,"CHERRY":4500.000000,"MONAPENNY":3800.000000,"KITTY":3000.450000,"PLUMHEAD":2800.000000,"STRONG":23000.000000,"BULLOZER":14800.000000,"WERTHER":14500.000000,"QUINN":14000.000000,"ORELLY":13400.000000,"BIGHORN":11000.000000,"BROWNY":10500.000000,"WHEELFOR":10030.000000,"MARTIN":10000.000000}
SELECT Json_Object(DEPARTMENT, Json_Object_Grp(SALARY, NAME) "Json_SALARIES") FROM t1 GROUP BY DEPARTMENT;
Json_Object(DEPARTMENT, Json_Object_Grp(SALARY, NAME) "Json_SALARIES")
{"DEPARTMENT":"0021","SALARIES":{"STRONG":23000.000000,"SHORTSIGHT":5500.000000}}
{"DEPARTMENT":"0318","SALARIES":{"BANCROFT":9600.000000,"PLUMHEAD":2800.000000,"HONEY":4900.000000,"TONGHO":6800.000000,"WALTER":7400.000000,"SHRINKY":7500.000000,"WERTHER":14500.000000,"MERCHANT":8700.000000,"WHEELFOR":10030.000000}}
{"DEPARTMENT":"0319","SALARIES":{"BULLOZER":14800.000000,"QUINN":14000.000000,"BROWNY":10500.000000,"KITTY":3000.450000,"MONAPENNY":3800.000000,"MARTIN":10000.000000,"FUNNIGUY":8500.000000,"BUGHAPPY":8500.000000,"FODDERMAN":7000.000000,"MESSIFUL":5000.500000,"GOOSEPEN":4700.000000}}
{"DEPARTMENT":"2452","SALARIES":{"BIGHEAD":8000.000000,"ORELLY":13400.000000,"BIGHORN":11000.000000,"SMITH":9000.000000,"CHERRY":4500.000000}}
SELECT Json_Array_Grp(NAME) from t1;
Json_Array_Grp(NAME)
["BANCROFT","SMITH","MERCHANT","FUNNIGUY","BUGHAPPY","BIGHEAD","SHRINKY","WALTER","FODDERMAN","TONGHO","SHORTSIGHT","MESSIFUL","HONEY","GOOSEPEN","CHERRY","MONAPENNY","KITTY","PLUMHEAD","STRONG","BULLOZER","WERTHER","QUINN","ORELLY","BIGHORN","BROWNY","WHEELFOR","MARTIN"]
DROP TABLE t1;
DROP FUNCTION Json_Array;
DROP FUNCTION Json_Array_Add;
DROP FUNCTION Json_Object;
DROP FUNCTION Json_Object_Nonull;
DROP FUNCTION Json_Value;
DROP FUNCTION Json_Array_Grp;
DROP FUNCTION Json_Object_Grp;
storage/connect/mysql-test/connect/r/odbc_oracle.result
View file @ 48a77e61
......@@ -126,7 +126,7 @@ TABNAME='T1';
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TABLE `t1` (
`A` decimal(38,0) DEFAULT NULL,
`A` decimal(40,0) DEFAULT NULL,
`B` double(40,0) DEFAULT NULL
) ENGINE=CONNECT DEFAULT CHARSET=latin1 CONNECTION='DSN=ConnectEngineOracle;UID=mtr;PWD=mtr' `TABLE_TYPE`='ODBC' `TABNAME`='T1'
SELECT * FROM t1 ORDER BY A;
......@@ -138,7 +138,7 @@ CREATE TABLE t2 AS SELECT * FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`A` decimal(38,0) DEFAULT NULL,
`A` decimal(40,0) DEFAULT NULL,
`B` double(40,0) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1
SELECT * FROM t2;
......@@ -162,7 +162,7 @@ TABNAME='MTR.T1';
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TABLE `t1` (
`A` decimal(38,0) DEFAULT NULL,
`A` decimal(40,0) DEFAULT NULL,
`B` double(40,0) DEFAULT NULL
) ENGINE=CONNECT DEFAULT CHARSET=latin1 CONNECTION='DSN=ConnectEngineOracle;UID=mtr;PWD=mtr' `TABLE_TYPE`='ODBC' `TABNAME`='MTR.T1'
SELECT * FROM t1;
......@@ -178,7 +178,7 @@ TABNAME='MTR.V1';
SHOW CREATE TABLE t1;
Table Create Table
t1 CREATE TABLE `t1` (
`A` decimal(38,0) DEFAULT NULL,
`A` decimal(40,0) DEFAULT NULL,
`B` double(40,0) DEFAULT NULL
) ENGINE=CONNECT DEFAULT CHARSET=latin1 CONNECTION='DSN=ConnectEngineOracle;UID=mtr;PWD=mtr' `TABLE_TYPE`='ODBC' `TABNAME`='MTR.V1'
SELECT * FROM t1;
......@@ -190,7 +190,7 @@ CREATE TABLE t2 AS SELECT * FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`A` decimal(38,0) DEFAULT NULL,
`A` decimal(40,0) DEFAULT NULL,
`B` double(40,0) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1
SELECT * FROM t2;
......
storage/connect/mysql-test/connect/std_data/biblio.jsn → storage/connect/mysql-test/connect/std_data/biblio.json
View file @ 48a77e61
[
{
"ISBN": "9782212090819",
"LANG": "fr",
"SUBJECT": "applications",
"AUTHOR": [
{
"FIRSTNAME": "Jean-Christophe",
"LASTNAME": "Bernadac"
},
{
"FIRSTNAME": "François",
"LASTNAME": "Knab"
}
],
"TITLE": "Construire une application XML",
"PUBLISHER": {
"NAME": "Eyrolles",
"PLACE": "Paris"
},
"DATEPUB": 1999
},
{
"ISBN": "9782840825685",
"LANG": "fr",
"SUBJECT": "applications",
"AUTHOR": [
{
"FIRSTNAME": "William J.",
"LASTNAME": "Pardi"
}
],
"TITLE": "XML en Action",
"TRANSLATION": "adapté de l'anglais par",
"TRANSLATOR": {
"FIRSTNAME": "James",
"LASTNAME": "Guerin"
},
"PUBLISHER": {
"NAME": "Microsoft Press",
"PLACE": "Paris"
},
"DATEPUB": 1999
}
]
[
{
"ISBN": "9782212090819",
"LANG": "fr",
"SUBJECT": "applications",
"AUTHOR": [
{
"FIRSTNAME": "Jean-Christophe",
"LASTNAME": "Bernadac"
},
{
"FIRSTNAME": "François",
"LASTNAME": "Knab"
}
],
"TITLE": "Construire une application XML",
"PUBLISHER": {
"NAME": "Eyrolles",
"PLACE": "Paris"
},
"DATEPUB": 1999
},
{
"ISBN": "9782840825685",
"LANG": "fr",
"SUBJECT": "applications",
"AUTHOR": [
{
"FIRSTNAME": "William J.",
"LASTNAME": "Pardi"
}
],
"TITLE": "XML en Action",
"TRANSLATION": "adapté de l'anglais par",
"TRANSLATOR": {
"FIRSTNAME": "James",
"LASTNAME": "Guerin"
},
"PUBLISHER": {
"NAME": "Microsoft Press",
"PLACE": "Paris"
},
"DATEPUB": 1999
}
]
storage/connect/mysql-test/connect/std_data/expense.jsn → storage/connect/mysql-test/connect/std_data/expense.json
View file @ 48a77e61
[
{
"WHO": "Joe",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 18.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Food",
"AMOUNT": 19.00
},
{
"WHAT": "Car",
"AMOUNT": 20.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Beer",
"AMOUNT": 16.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 14.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
},
{
"WHO": "Beth",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 16.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 15.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 20.00
}
]
}
]
},
{
"WHO": "Janet",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 18.00
},
{
"WHAT": "Beer",
"AMOUNT": 18.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 17.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Car",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
}
]
[
{
"WHO": "Joe",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 18.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Food",
"AMOUNT": 19.00
},
{
"WHAT": "Car",
"AMOUNT": 20.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Beer",
"AMOUNT": 16.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 14.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
},
{
"WHO": "Beth",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 16.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 15.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 20.00
}
]
}
]
},
{
"WHO": "Janet",
"WEEK": [
{
"NUMBER": 3,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 18.00
},
{
"WHAT": "Beer",
"AMOUNT": 18.00
}
]
},
{
"NUMBER": 4,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 17.00
}
]
},
{
"NUMBER": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Car",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
}
]
storage/connect/mysql-test/connect/std_data/mulexp3.jsn → storage/connect/mysql-test/connect/std_data/mulexp3.json
View file @ 48a77e61
[
{
"WHO": "Joe",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 18.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Food",
"AMOUNT": 19.00
},
{
"WHAT": "Car",
"AMOUNT": 20.00
}
]
},
{
"WHO": "Beth",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 16.00
}
]
},
{
"WHO": "Janet",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 18.00
},
{
"WHAT": "Beer",
"AMOUNT": 18.00
}
]
}
]
[
{
"WHO": "Joe",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 18.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Food",
"AMOUNT": 19.00
},
{
"WHAT": "Car",
"AMOUNT": 20.00
}
]
},
{
"WHO": "Beth",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 16.00
}
]
},
{
"WHO": "Janet",
"WEEK": 3,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 18.00
},
{
"WHAT": "Beer",
"AMOUNT": 18.00
}
]
}
]
storage/connect/mysql-test/connect/std_data/mulexp4.jsn → storage/connect/mysql-test/connect/std_data/mulexp4.json
View file @ 48a77e61
[
{
"WHO": "Joe",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Beer",
"AMOUNT": 16.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 14.00
}
]
},
{
"WHO": "Beth",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 15.00
}
]
},
{
"WHO": "Janet",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 17.00
}
]
}
]
[
{
"WHO": "Joe",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Beer",
"AMOUNT": 16.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 14.00
}
]
},
{
"WHO": "Beth",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 17.00
},
{
"WHAT": "Beer",
"AMOUNT": 15.00
}
]
},
{
"WHO": "Janet",
"WEEK": 4,
"EXPENSE": [
{
"WHAT": "Car",
"AMOUNT": 17.00
}
]
}
]
storage/connect/mysql-test/connect/std_data/mulexp5.jsn → storage/connect/mysql-test/connect/std_data/mulexp5.json
View file @ 48a77e61
[
{
"WHO": "Joe",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
},
{
"WHO": "Beth",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 20.00
}
]
},
{
"WHO": "Janet",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Car",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
[
{
"WHO": "Joe",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
},
{
"WHO": "Beth",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Food",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 20.00
}
]
},
{
"WHO": "Janet",
"WEEK": 5,
"EXPENSE": [
{
"WHAT": "Beer",
"AMOUNT": 14.00
},
{
"WHAT": "Car",
"AMOUNT": 12.00
},
{
"WHAT": "Beer",
"AMOUNT": 19.00
},
{
"WHAT": "Food",
"AMOUNT": 12.00
}
]
}
]
storage/connect/mysql-test/connect/t/json.test
View file @ 48a77e61
--source include/not_embedded.inc
--source include/have_partition.inc
let $MYSQLD_DATADIR= `select @@datadir`;
--copy_file $MTR_SUITE_DIR/std_data/biblio.jsn $MYSQLD_DATADIR/test/biblio.jsn
--copy_file $MTR_SUITE_DIR/std_data/expense.jsn $MYSQLD_DATADIR/test/expense.jsn
--copy_file $MTR_SUITE_DIR/std_data/mulexp3.jsn $MYSQLD_DATADIR/test/mulexp3.jsn
--copy_file $MTR_SUITE_DIR/std_data/mulexp4.jsn $MYSQLD_DATADIR/test/mulexp4.jsn
--copy_file $MTR_SUITE_DIR/std_data/mulexp5.jsn $MYSQLD_DATADIR/test/mulexp5.jsn
--echo #
--echo # Testing doc samples
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
LANG CHAR(2),
SUBJECT CHAR(32),
AUTHOR CHAR(64),
TITLE CHAR(32),
TRANSLATION CHAR(32),
TRANSLATOR CHAR(80),
PUBLISHER CHAR(32),
DATEPUB int(4)
) ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Testing Jpath. Get the number of authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
Authors INT(2) FIELD_FORMAT='AUTHOR:[#]',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Concatenates the authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
AuthorFN CHAR(128) FIELD_FORMAT='AUTHOR:[" and "]:FIRSTNAME',
AuthorLN CHAR(128) FIELD_FORMAT='AUTHOR:[" and "]:LASTNAME',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Testing expanding authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
AuthorFN CHAR(128) FIELD_FORMAT='AUTHOR:[X]:FIRSTNAME',
AuthorLN CHAR(128) FIELD_FORMAT='AUTHOR:[X]:LASTNAME',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn';
SELECT * FROM t1;
UPDATE t1 SET AuthorFN = 'Philippe' WHERE AuthorLN = 'Knab';
SELECT * FROM t1 WHERE ISBN = '9782212090819';
--echo #
--echo # To add an author a new table must be created
--echo #
CREATE TABLE t2 (
FIRSTNAME CHAR(32),
LASTNAME CHAR(32))
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.jsn' OPTION_LIST='Object=[2]:AUTHOR';
SELECT * FROM t2;
INSERT INTO t2 VALUES('Charles','Dickens');
SELECT * FROM t1;
DROP TABLE t1;
DROP TABLE t2;
--echo #
--echo # Check the biblio file has the good format
--echo #
CREATE TABLE t1
(
line char(255)
)
ENGINE=CONNECT TABLE_TYPE=DOS FILE_NAME='biblio.jsn';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # A file with 2 arrays
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK::EXPENSE:["+"]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK::EXPENSE:[+]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Cannot be fully expanded
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
--error ER_GET_ERRMSG
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Expand expense in 3 one week tables
--echo #
CREATE TABLE t2 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[1]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
SELECT * FROM t2;
CREATE TABLE t3 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[2]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
SELECT * FROM t3;
CREATE TABLE t4 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[3]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.jsn';
SELECT * FROM t4;
--echo #
--echo # The expanded table is made as a TBL table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32),
AMOUNT DOUBLE(8,2))
ENGINE=CONNECT TABLE_TYPE=TBL TABLE_LIST='t2,t3,t4';
SELECT * FROM t1;
DROP TABLE t1, t2, t3, t4;
--echo #
--echo # Three partial JSON tables
--echo #
CREATE TABLE t2 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp3.jsn';
SELECT * FROM t2;
CREATE TABLE t3 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp4.jsn';
SELECT * FROM t3;
CREATE TABLE t4 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp5.jsn';
SELECT * FROM t4;
--echo #
--echo # The complete table can be a multiple JSON table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp*.jsn' MULTIPLE=1;
SELECT * FROM t1 ORDER BY WHO, WEEK, WHAT, AMOUNT;
DROP TABLE t1;
--echo #
--echo # Or also a partition JSON table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp%s.jsn';
ALTER TABLE t1
PARTITION BY LIST COLUMNS(WEEK) (
PARTITION `3` VALUES IN(3),
PARTITION `4` VALUES IN(4),
PARTITION `5` VALUES IN(5));
SHOW WARNINGS;
SELECT * FROM t1;
SELECT * FROM t1 WHERE WEEK = 4;
DROP TABLE t1, t2, t3, t4;
#
# Clean up
#
--remove_file $MYSQLD_DATADIR/test/biblio.jsn
--remove_file $MYSQLD_DATADIR/test/expense.jsn
--remove_file $MYSQLD_DATADIR/test/mulexp3.jsn
--remove_file $MYSQLD_DATADIR/test/mulexp4.jsn
--remove_file $MYSQLD_DATADIR/test/mulexp5.jsn
--source include/not_embedded.inc
--source include/have_partition.inc
let $MYSQLD_DATADIR= `select @@datadir`;
--copy_file $MTR_SUITE_DIR/std_data/biblio.json $MYSQLD_DATADIR/test/biblio.json
--copy_file $MTR_SUITE_DIR/std_data/expense.json $MYSQLD_DATADIR/test/expense.json
--copy_file $MTR_SUITE_DIR/std_data/mulexp3.json $MYSQLD_DATADIR/test/mulexp3.json
--copy_file $MTR_SUITE_DIR/std_data/mulexp4.json $MYSQLD_DATADIR/test/mulexp4.json
--copy_file $MTR_SUITE_DIR/std_data/mulexp5.json $MYSQLD_DATADIR/test/mulexp5.json
--echo #
--echo # Testing doc samples
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
LANG CHAR(2),
SUBJECT CHAR(32),
AUTHOR CHAR(64),
TITLE CHAR(32),
TRANSLATION CHAR(32),
TRANSLATOR CHAR(80),
PUBLISHER CHAR(32),
DATEPUB int(4)
) ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Testing Jpath. Get the number of authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
Authors INT(2) FIELD_FORMAT='AUTHOR:[#]',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Concatenates the authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
AuthorFN CHAR(128) FIELD_FORMAT='AUTHOR:[" and "]:FIRSTNAME',
AuthorLN CHAR(128) FIELD_FORMAT='AUTHOR:[" and "]:LASTNAME',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Testing expanding authors
--echo #
CREATE TABLE t1
(
ISBN CHAR(15),
Language CHAR(2) FIELD_FORMAT='LANG',
Subject CHAR(32) FIELD_FORMAT='SUBJECT',
AuthorFN CHAR(128) FIELD_FORMAT='AUTHOR:[X]:FIRSTNAME',
AuthorLN CHAR(128) FIELD_FORMAT='AUTHOR:[X]:LASTNAME',
Title CHAR(32) FIELD_FORMAT='TITLE',
Translation CHAR(32) FIELD_FORMAT='TRANSLATION',
Translator CHAR(80) FIELD_FORMAT='TRANSLATOR',
Publisher CHAR(20) FIELD_FORMAT='PUBLISHER:NAME',
Location CHAR(16) FIELD_FORMAT='PUBLISHER:PLACE',
Year int(4) FIELD_FORMAT='DATEPUB'
)
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json';
SELECT * FROM t1;
UPDATE t1 SET AuthorFN = 'Philippe' WHERE AuthorLN = 'Knab';
SELECT * FROM t1 WHERE ISBN = '9782212090819';
--echo #
--echo # To add an author a new table must be created
--echo #
CREATE TABLE t2 (
FIRSTNAME CHAR(32),
LASTNAME CHAR(32))
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='biblio.json' OPTION_LIST='Object=[2]:AUTHOR';
SELECT * FROM t2;
INSERT INTO t2 VALUES('Charles','Dickens');
SELECT * FROM t1;
DROP TABLE t1;
DROP TABLE t2;
--echo #
--echo # Check the biblio file has the good format
--echo #
CREATE TABLE t1
(
line char(255)
)
ENGINE=CONNECT TABLE_TYPE=DOS FILE_NAME='biblio.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # A file with 2 arrays
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK::EXPENSE:["+"]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK::EXPENSE:[+]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Now it can be fully expanded
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[X]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[X]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
#--error ER_GET_ERRMSG
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # A table showing many calculated results
--echo #
CREATE TABLE t1 (
WHO CHAR(12) NOT NULL,
WEEKS CHAR(12) NOT NULL FIELD_FORMAT='WEEK:[", "]:NUMBER',
SUMS CHAR(64) NOT NULL FIELD_FORMAT='WEEK:["+"]:EXPENSE:[+]:AMOUNT',
SUM DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[+]:EXPENSE:[+]:AMOUNT',
AVGS CHAR(64) NOT NULL FIELD_FORMAT='WEEK:["+"]:EXPENSE:[!]:AMOUNT',
SUMAVG DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[+]:EXPENSE:[!]:AMOUNT',
AVGSUM DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[+]:AMOUNT',
AVGAVG DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[!]:AMOUNT',
AVERAGE DOUBLE(8,2) NOT NULL FIELD_FORMAT='WEEK:[!]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t1;
DROP TABLE t1;
--echo #
--echo # Expand expense in 3 one week tables
--echo #
CREATE TABLE t2 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[1]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[1]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t2;
CREATE TABLE t3 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[2]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[2]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t3;
CREATE TABLE t4 (
WHO CHAR(12),
WEEK INT(2) FIELD_FORMAT='WEEK:[3]:NUMBER',
WHAT CHAR(32) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='WEEK:[3]:EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='expense.json';
SELECT * FROM t4;
--echo #
--echo # The expanded table is made as a TBL table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32),
AMOUNT DOUBLE(8,2))
ENGINE=CONNECT TABLE_TYPE=TBL TABLE_LIST='t2,t3,t4';
SELECT * FROM t1;
DROP TABLE t1, t2, t3, t4;
--echo #
--echo # Three partial JSON tables
--echo #
CREATE TABLE t2 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp3.json';
SELECT * FROM t2;
CREATE TABLE t3 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp4.json';
SELECT * FROM t3;
CREATE TABLE t4 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp5.json';
SELECT * FROM t4;
--echo #
--echo # The complete table can be a multiple JSON table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp*.json' MULTIPLE=1;
SELECT * FROM t1 ORDER BY WHO, WEEK, WHAT, AMOUNT;
DROP TABLE t1;
--echo #
--echo # Or also a partition JSON table
--echo #
CREATE TABLE t1 (
WHO CHAR(12),
WEEK INT(2),
WHAT CHAR(32) FIELD_FORMAT='EXPENSE:[X]:WHAT',
AMOUNT DOUBLE(8,2) FIELD_FORMAT='EXPENSE:[X]:AMOUNT')
ENGINE=CONNECT TABLE_TYPE=JSON FILE_NAME='mulexp%s.json';
ALTER TABLE t1
PARTITION BY LIST COLUMNS(WEEK) (
PARTITION `3` VALUES IN(3),
PARTITION `4` VALUES IN(4),
PARTITION `5` VALUES IN(5));
SHOW WARNINGS;
SELECT * FROM t1;
SELECT * FROM t1 WHERE WEEK = 4;
DROP TABLE t1, t2, t3, t4;
#
# Clean up
#
--remove_file $MYSQLD_DATADIR/test/biblio.json
--remove_file $MYSQLD_DATADIR/test/expense.json
--remove_file $MYSQLD_DATADIR/test/mulexp3.json
--remove_file $MYSQLD_DATADIR/test/mulexp4.json
--remove_file $MYSQLD_DATADIR/test/mulexp5.json
storage/connect/tabmul.cpp
View file @ 48a77e61
......@@ -238,7 +238,7 @@ bool TDBMUL::InitFileNames(PGLOBAL g)
continue; // Not a match
strcat(strcpy(filename, direc), entry->d_name);
pfn[n] = PlugDup(g, filename);
pfn[n++] = PlugDup(g, filename);
if (trace)
htrc("Adding pfn[%d] %s\n", n, filename);
......
storage/connect/tabmysql.cpp
View file @ 48a77e61
......@@ -1078,8 +1078,7 @@ bool TDBMYSQL::ReadKey(PGLOBAL g, OPVAL op, const void *key, int len)
if (Myc.m_Res)
Myc.FreeResult();
To_Def->GetHandler()->MakeKeyWhere(g, Query->GetStr(),
op, "`", key, len);
To_Def->GetHandler()->MakeKeyWhere(g, Query, op, '`', key, len);
if (To_CondFil) {
oom = Query->Append(" AND (");
......
storage/connect/value.cpp
View file @ 48a77e61
......@@ -627,13 +627,16 @@ int TYPVAL<double>::GetValLen(void)
template <class TYPE>
bool TYPVAL<TYPE>::SetValue_pval(PVAL valp, bool chktype)
{
if (chktype && Type != valp->GetType())
return true;
if (valp != this) {
if (chktype && Type != valp->GetType())
return true;
if (!(Null = valp->IsNull() && Nullable))
Tval = GetTypedValue(valp);
else
Reset();
if (!(Null = valp->IsNull() && Nullable))
Tval = GetTypedValue(valp);
else
Reset();
} // endif valp
return false;
} // end of SetValue
......@@ -1319,15 +1322,18 @@ ulonglong TYPVAL<PSZ>::GetUBigintValue(void)
/***********************************************************************/
bool TYPVAL<PSZ>::SetValue_pval(PVAL valp, bool chktype)
{
if (chktype && (valp->GetType() != Type || valp->GetSize() > Len))
return true;
if (valp != this) {
if (chktype && (valp->GetType() != Type || valp->GetSize() > Len))
return true;
char buf[64];
char buf[64];
if (!(Null = valp->IsNull() && Nullable))
strncpy(Strp, valp->GetCharString(buf), Len);
else
Reset();
if (!(Null = valp->IsNull() && Nullable))
strncpy(Strp, valp->GetCharString(buf), Len);
else
Reset();
} // endif valp
return false;
} // end of SetValue_pval
......@@ -2063,18 +2069,21 @@ double BINVAL::GetFloatValue(void)
/***********************************************************************/
bool BINVAL::SetValue_pval(PVAL valp, bool chktype)
{
if (chktype && (valp->GetType() != Type || valp->GetSize() > Clen))
return true;
bool rc = false;
if (!(Null = valp->IsNull() && Nullable)) {
if ((rc = (Len = valp->GetSize()) > Clen))
Len = Clen;
if (valp != this) {
if (chktype && (valp->GetType() != Type || valp->GetSize() > Clen))
return true;
memcpy(Binp, valp->GetTo_Val(), Len);
} else
Reset();
if (!(Null = valp->IsNull() && Nullable)) {
if ((rc = (Len = valp->GetSize()) > Clen))
Len = Clen;
memcpy(Binp, valp->GetTo_Val(), Len);
} else
Reset();
} // endif valp
return rc;
} // end of SetValue_pval
......@@ -2629,21 +2638,24 @@ bool DTVAL::MakeDate(PGLOBAL g, int *val, int nval)
/***********************************************************************/
bool DTVAL::SetValue_pval(PVAL valp, bool chktype)
{
if (chktype && Type != valp->GetType())
return true;
if (valp != this) {
if (chktype && Type != valp->GetType())
return true;
if (!(Null = valp->IsNull() && Nullable)) {
if (Pdtp && !valp->IsTypeNum()) {
int ndv;
int dval[6];
if (!(Null = valp->IsNull() && Nullable)) {
if (Pdtp && !valp->IsTypeNum()) {
int ndv;
int dval[6];
ndv = ExtractDate(valp->GetCharValue(), Pdtp, DefYear, dval);
MakeDate(NULL, dval, ndv);
} else
Tval = valp->GetIntValue();
ndv = ExtractDate(valp->GetCharValue(), Pdtp, DefYear, dval);
MakeDate(NULL, dval, ndv);
} else
Tval = valp->GetIntValue();
Reset();
} else
Reset();
} // endif valp
return false;
} // end of SetValue
......
storage/connect/xobject.cpp
View file @ 48a77e61
......@@ -289,6 +289,34 @@ bool STRING::Set(char *s, uint n)
return false;
} // end of Set
/***********************************************************************/
/* Append a char* to a STRING. */
/***********************************************************************/
bool STRING::Append(const char *s, uint ln)
{
if (!s)
return false;
uint len = Length + ln + 1;
if (len > Size) {
char *p = Realloc(len);
if (!p)
return true;
else if (p != Strp) {
strcpy(p, Strp);
Strp = p;
} // endif p
} // endif n
strncpy(Strp + Length, s, ln);
Length = len - 1;
Strp[Length] = 0;
return false;
} // end of Append
/***********************************************************************/
/* Append a PSZ to a STRING. */
/***********************************************************************/
......
storage/connect/xobject.h
View file @ 48a77e61
......@@ -134,6 +134,7 @@ class DllExport STRING : public BLOCK {
inline void Reset(void) {*Strp = 0;}
bool Set(PSZ s);
bool Set(char *s, uint n);
bool Append(const char *s, uint ln);
bool Append(PSZ s);
bool Append(STRING &str);
bool Append(char c);
......
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