It aims to be a fast MongoDB-like library which can be embedded into C/C++/NodeJS/Python/Lua/Java/Ruby applications under terms of LGPL license.
EJDB is the C library based on modified version of Tokyo Cabinet.
JSON representation of queries and data implemented with API based on C BSON
2013-06-02 [Adobe Air Native Extension (ANE) for EJDB (Thanks to @thejustinwalsh)] (https://github.com/thejustinwalsh/airejdb)2013-05-29 EJDB Python 2.7.x binding available2013-05-06 Ruby binding available2013-05-02 NodeJS win32 module available2013-04-25 EJDB and TokyoCabinet API ported to Windows2013-04-03 Java API binding available2013-03-20 Lua binding available2013-02-15 EJDB Python3 binding available2013-02-07 Debian packages provided2013-01-22 Collection joins now supported$stror $strandvar EJDB = require("ejdb");
//Open zoo DB
var jb = EJDB.open("zoo", EJDB.DEFAULT_OPEN_MODE | EJDB.JBOTRUNC);
var parrot1 = {
"name" : "Grenny",
"type" : "African Grey",
"male" : true,
"age" : 1,
"birthdate" : new Date(),
"likes" : ["green color", "night", "toys"],
"extra1" : null
};
var parrot2 = {
"name" : "Bounty",
"type" : "Cockatoo",
"male" : false,
"age" : 15,
"birthdate" : new Date(),
"likes" : ["sugar cane"]
};
jb.save("parrots", [parrot1, parrot2], function(err, oids) {
if (err) {
console.error(err);
return;
}
console.log("Grenny OID: " + parrot1["_id"]);
console.log("Bounty OID: " + parrot2["_id"]);
jb.find("parrots",
{"likes" : "toys"},
{"$orderby" : {"name" : 1}},
function(err, cursor, count) {
if (err) {
console.error(err);
return;
}
console.log("Found " + count + " parrots");
while (cursor.next()) {
console.log(cursor.field("name") + " likes toys!");
}
cursor.close(); //It's not mandatory to close cursor explicitly
jb.close(); //Close the database
});
});
System libraries:
On Debian/Ubuntu linux you can install it as follows:
sudo apt-get install g++ zlib1g zlib1g-dev
Installation from node package manager on linux/macos:
npm install ejdb
Installing EJDB NodeJS module on windows
Open database. Return database instance handle object.
Default open mode: JBOWRITER | JBOCREAT.
This is blocking function.
Arguments
[openMode=JBOWRITER | JBOCREAT] Bitmast of open modes:
- JBOREADER Open as a reader.
- JBOWRITER Open as a writer.
- JBOCREAT Create if db file not exists
- JBOTRUNC Truncate db.Close database.
If database was not opened it does nothing.
This is blocking function.
Automatically creates new collection if it does't exists.
Collection options copts applied only for newly created collection.
For existing collections copts takes no effect.
Collection options (copts):
This is blocking function.
Arguments
[copts] Collection options.Drop collection.
Call variations:
dropCollection(cname)
dropCollection(cname, cb)
dropCollection(cname, prune, cb)
Arguments
[prune=false] If true the collection data will erased from disk.[cb] Callback args: (error)Save/update specified JSON objects in the collection.
If collection with cname does not exists it will be created.
Each persistent object has unique identifier (OID) placed in the _id property.
If a saved object does not have _id it will be autogenerated.
To identify and update object it should contains _id property.
If callback is not provided this function will be synchronous.
Call variations:
save(cname, <json object>|<Array of json objects>, [options] [cb])
save(cname, <json object>|<Array of json objects>, [cb])
NOTE: Field names of passed JSON objects may not contain $ and . characters,
error condition will be fired in this case.
Arguments
[cb] Callback args: (error, {Array} of OIDs for saved objects)Return
Loads JSON object identified by OID from the collection. If callback is not provided this function will be synchronous.
Arguments
obj: Retrieved JSON object or NULL if it is not found.Return
Removes JSON object from the collection. If callback is not provided this function will be synchronous.
Arguments
Supported queries:
- Simple matching of String OR Number OR Array value:
- {'fpath' : 'val', ...}
- $not Negate operation.
- {'fpath' : {'$not' : val}} //Field not equal to val
- {'fpath' : {'$not' : {'$begin' : prefix}}} //Field not begins with val
- $begin String starts with prefix
- {'fpath' : {'$begin' : prefix}}
- $gt, $gte (>, >=) and $lt, $lte for number types:
- {'fpath' : {'$gt' : number}, ...}
- $bt Between for number types:
- {'fpath' : {'$bt' : [num1, num2]}}
- $in String OR Number OR Array val matches to value in specified array:
- {'fpath' : {'$in' : [val1, val2, val3]}}
- $nin - Not IN
- $strand String tokens OR String array val matches all tokens in specified array:
- {'fpath' : {'$strand' : [val1, val2, val3]}}
- $stror String tokens OR String array val matches any token in specified array:
- {'fpath' : {'$stror' : [val1, val2, val3]}}
- $exists Field existence matching:
- {'fpath' : {'$exists' : true|false}}
- $icase Case insensitive string matching:
- {'fpath' : {'$icase' : 'val1'}} //icase matching
Ignore case matching with '$in' operation:
- {'name' : {'$icase' : {'$in' : ['tHéâtre - театр', 'heLLo WorlD']}}}
For case insensitive matching you can create special type of string index.
- $elemMatch The $elemMatch operator matches more than one component within an array element.
- { array: { $elemMatch: { value1 : 1, value2 : { $gt: 1 } } } }
Restriction: only one $elemMatch allowed in context of one array field.
- Queries can be used to update records:
$set Field set operation.
- {.., '$set' : {'field1' : val1, 'fieldN' : valN}}
$upsert Atomic upsert. If matching records are found it will be '$set' operation,
otherwise new record will be inserted with fields specified by argment object.
- {.., '$upsert' : {'field1' : val1, 'fieldN' : valN}}
$inc Increment operation. Only number types are supported.
- {.., '$inc' : {'field1' : number, ..., 'field1' : number}
$dropall In-place record removal operation.
- {.., '$dropall' : true}
$addToSet Atomically adds value to the array only if its not in the array already.
If containing array is missing it will be created.
- {.., '$addToSet' : {'fpath' : val1, 'fpathN' : valN, ...}}
$addToSetAll Batch version if $addToSet
- {.., '$addToSetAll' : {'fpath' : [array of values to add], ...}}
$pull Atomically removes all occurrences of value from field, if field is an array.
- {.., '$pull' : {'fpath' : val1, 'fpathN' : valN, ...}}
$pullAll Batch version of $pull
- {.., '$pullAll' : {'fpath' : [array of values to remove], ...}}
NOTE: It is better to execute update queries with `$onlycount=true` hint flag
or use the special `update()` method to avoid unnecessarily rows fetching.
NOTE: Negate operations: $not and $nin not using indexes
so they can be slow in comparison to other matching operations.
NOTE: Only one index can be used in search query operation.
NOTE: If callback is not provided this function will be synchronous.
QUERY HINTS (specified by `hints` argument):
- $max Maximum number in the result set
- $skip Number of skipped results in the result set
- $orderby Sorting order of query fields.
- $onlycount true|false If `true` only count of matching records will be returned
without placing records in result set.
- $fields Set subset of fetched fields
If a field presented in $orderby clause it will be forced to include in resulting records.
Example:
hints: {
"$orderby" : { //ORDER BY field1 ASC, field2 DESC
"field1" : 1,
"field2" : -1
},
"$fields" : { //SELECT ONLY {_id, field1, field2}
"field1" : 1,
"field2" : 1
}
}
Many C API query examples can be found in `tcejdb/testejdb/t2.c` test case.
To traverse selected records cursor object is used:
- Cursor#next() Move cursor to the next record and returns true if next record exists.
- Cursor#hasNext() Returns true if cursor can be placed to the next record.
- Cursor#field(name) Retrieve value of the specified field of the current JSON object record.
- Cursor#object() Retrieve whole JSON object with all fields.
- Cursor#reset() Reset cursor to its initial state.
- Cursor#length Read-only property: Number of records placed into cursor.
- Cursor#pos Read/Write property: You can set cursor position: 0 <= pos < length
- Cursor#close() Closes cursor and free cursor resources. Cursor cant be used in closed state.
Call variations of find():
- find(cname, [cb])
- find(cname, qobj, [cb])
- find(cname, qobj, hints, [cb])
- find(cname, qobj, qobjarr, [cb])
- find(cname, qobj, qobjarr, hints, [cb])
Arguments
[orarr] Array of additional OR query objects (joined with OR predicate).[hints] JSON object with query hints.cursor: Cursor object to traverse records
qobj count: Total number of selected recordsReturn
$onlycount hint is set returns count {Number}.$onlycount hint returns cursor {Object}.Call variations of findOne():
findOne(cname, [cb])
findOne(cname, qobj, [cb])
findOne(cname, qobj, hints, [cb])
findOne(cname, qobj, qobjarr, [cb])
findOne(cname, qobj, qobjarr, hints, [cb])
Arguments
[orarr] Array of additional OR query objects (joined with OR predicate).[hints] JSON object with query hints.obj Retrieved JSON object or NULL if it is not found.Return
$set Field set operation:
$upsert Atomic upsert. If matching records are found it will be '$set' operation,
otherwise new record will be inserted with fields specified by argment object.
$inc Increment operation. Only number types are supported.
$dropall In-place record removal operation.
$addToSet | $addToSetAll Atomically adds value to the array only if its not in the array already.
If containing array is missing it will be created.
$pull | pullAll Atomically removes all occurrences of value from field, if field is an array.
Call variations of update():
update(cname, [cb])
update(cname, qobj, [cb])
update(cname, qobj, hints, [cb])
update(cname, qobj, qobjarr, [cb])
update(cname, qobj, qobjarr, hints, [cb])
Arguments
[orarr] Array of additional OR query objects (joined with OR predicate).[hints] JSON object with query hints.count The number of updated records.Return
Call variations of count():
count(cname, [cb])
count(cname, qobj, [cb])
count(cname, qobj, hints, [cb])
count(cname, qobj, qobjarr, [cb])
count(cname, qobj, qobjarr, hints, [cb])
Arguments
[orarr] Array of additional OR query objects (joined with OR predicate).[hints] JSON object with query hints.count: Number of matching records.Return
Arguments
Arguments
[cb] Optional callback function. Callback args: (error)Arguments
[cb] Optional callback function. Callback args: (error)Ensure index presence of String|Number|Array type for JSON field path.
IString is the special type of String index for case insensitive matching.
Arguments
[cb] Optional callback function. Callback args: (error)Rebuild index of String|Number|Array type for JSON field path.
IString is the special type of String index for case insensitive matching.
Arguments
[cb] Optional callback function. Callback args: (error)Drop index of String|Number|Array type for JSON field path.
IString is the special type of String index for case insensitive matching.
Arguments
[cb] Optional callback function. Callback args: (error)import pyejdb
from datetime import datetime
#Open database
ejdb = pyejdb.EJDB("zoo", pyejdb.DEFAULT_OPEN_MODE | pyejdb.JBOTRUNC)
parrot1 = {
"name": "Grenny",
"type": "African Grey",
"male": True,
"age": 1,
"birthdate": datetime.utcnow(),
"likes": ["green color", "night", "toys"],
"extra1": None
}
parrot2 = {
"name": "Bounty",
"type": "Cockatoo",
"male": False,
"age": 15,
"birthdate": datetime.utcnow(),
"likes": ["sugar cane"],
"extra1": None
}
ejdb.save("parrots2", parrot1, parrot2)
with ejdb.find("parrots2", {"likes" : "toys"},
hints={"$orderby" : [("name", 1)]}) as cur:
print("found %s parrots" % len(cur))
for p in cur:
print("%s likes toys!" % p["name"])
ejdb.close()
EJDB Python 2.7/3.x binding page
local ejdb = require("ejdb")
local inspect = require("ejdb.inspect")
local Q = ejdb.Q
-- Used modes:
-- 'r' - read
-- 'w' - write
-- 'c' - create db if not exists
-- 't' - truncate existing db
local db = ejdb.open("zoo", "rwct")
-- Unordered lua table
local parrot1 = {
name = "Grenny",
type = "African Grey",
male = true,
age = 1,
birthhdate = ejdb.toDateNow(),
likes = { "green color", "night", "toys" },
extra1 = ejdb.toNull()
}
-- Preserve order of BSON keys
local parrot2 = Q();
parrot2:KV("name", "Bounty"):KV("type", "Cockatoo"):KV("male", false)
parrot2:KV("age", 15):KV("birthdate",
ejdb.toDate({ year = 2013, month = 1, day = 1, hour = 0, sec = 1 }))
parrot2:KV("likes", { "sugar cane" }):KV("extra1", ejdb.toNull())
--IF YOU WANT SOME DATA INSPECTIONS:
--print(ejdb.print_bson(parrot2:toBSON()))
--local obj = ejdb.from_bson(parrot2:toBSON())
--print(inspect(obj));
db:save("parrots2", parrot1)
db:save("parrots2", parrot2)
-- Below two equivalent queries:
-- Q1
local res, count, log =
db:find("parrots2", Q("likes", "toys"):OrderBy("name asc", "age desc"))
for i = 1, #res do -- iterate one
local ob = res:object(i)
print("" .. ob["name"] .. " likes toys #1")
end
-- Q2
local res, count, log =
db:find("parrots2", Q():F("likes"):Eq("toys"):OrderBy({ name = 1 }, { age = -1 }))
for i = 1, #res do -- iterate one
print("" .. res:field(i, "name") .. " likes toys #2")
end
-- Second way to iterate
for vobj, idx in res() do
print("" .. vobj["name"] .. " likes toys #3")
end
db:close()
#include <tcejdb/ejdb.h>
static EJDB *jb;
int main() {
jb = ejdbnew();
if (!ejdbopen(jb, "addressbook", JBOWRITER | JBOCREAT | JBOTRUNC)) {
return 1;
}
//Get or create collection 'contacts'
EJCOLL *coll = ejdbcreatecoll(jb, "contacts", NULL);
bson bsrec;
bson_oid_t oid;
//Insert one record:
//JSON: {'name' : 'Bruce', 'phone' : '333-222-333', 'age' : 58}
bson_init(&bsrec);
bson_append_string(&bsrec, "name", "Bruce");
bson_append_string(&bsrec, "phone", "333-222-333");
bson_append_int(&bsrec, "age", 58);
bson_finish(&bsrec);
//Save BSON
ejdbsavebson(coll, &bsrec, &oid);
fprintf(stderr, "\nSaved Bruce");
bson_destroy(&bsrec);
//Now execute query
//QUERY: {'name' : {'$begin' : 'Bru'}} //Name starts with 'Bru' string
bson bq1;
bson_init_as_query(&bq1);
bson_append_start_object(&bq1, "name");
bson_append_string(&bq1, "$begin", "Bru");
bson_append_finish_object(&bq1);
bson_finish(&bq1);
EJQ *q1 = ejdbcreatequery(jb, &bq1, NULL, 0, NULL);
uint32_t count;
TCLIST *res = ejdbqryexecute(coll, q1, &count, 0, NULL);
fprintf(stderr, "\n\nRecords found: %d\n", count);
//Now print the result set records
for (int i = 0; i < TCLISTNUM(res); ++i) {
void *bsdata = TCLISTVALPTR(res, i);
bson_print_raw(bsdata, 0);
}
fprintf(stderr, "\n");
//Dispose result set
tclistdel(res);
//Dispose query
ejdbquerydel(q1);
bson_destroy(&bq1);
//Close database
ejdbclose(jb);
ejdbdel(jb);
return 0;
}
You can save this code in csnippet.c And build:
gcc -std=c99 -Wall -pedantic -c -o csnippet.o csnippet.c
gcc -o csnippet csnippet.o -ltcejdb
System libraries:
cd ./tcejdb
./configure --prefix=<installation prefix> && make && make check
make install
<tcejdb/ejdb.h>EJDB API presented in ejdb.h C header file.
JSON processing API: bson.h
/**
* Create query object.
* Sucessfully created queries must be destroyed with ejdbquerydel().
*
* EJDB queries inspired by MongoDB (mongodb.org) and follows same philosophy.
*
* - Supported queries:
* - Simple matching of String OR Number OR Array value:
* - {'fpath' : 'val', ...}
* - $not Negate operation.
* - {'fpath' : {'$not' : val}} //Field not equal to val
* - {'fpath' : {'$not' : {'$begin' : prefix}}} //Field not begins with val
* - $begin String starts with prefix
* - {'fpath' : {'$begin' : prefix}}
* - $gt, $gte (>, >=) and $lt, $lte for number types:
* - {'fpath' : {'$gt' : number}, ...}
* - $bt Between for number types:
* - {'fpath' : {'$bt' : [num1, num2]}}
* - $in String OR Number OR Array val matches to value in specified array:
* - {'fpath' : {'$in' : [val1, val2, val3]}}
* - $nin - Not IN
* - $strand String tokens OR String array val matches all tokens in specified array:
* - {'fpath' : {'$strand' : [val1, val2, val3]}}
* - $stror String tokens OR String array val matches any token in specified array:
* - {'fpath' : {'$stror' : [val1, val2, val3]}}
* - $exists Field existence matching:
* - {'fpath' : {'$exists' : true|false}}
* - $icase Case insensitive string matching:
* - {'fpath' : {'$icase' : 'val1'}} //icase matching
* Ignore case matching with '$in' operation:
* - {'name' : {'$icase' : {'$in' : ['tHéâtre - театр', 'heLLo WorlD']}}}
* For case insensitive matching you can create special index of type: `JBIDXISTR`
* - $elemMatch The $elemMatch operator matches more than one component within an array element.
* - { array: { $elemMatch: { value1 : 1, value2 : { $gt: 1 } } } }
* Restriction: only one $elemMatch allowed in context of one array field.
*
* - Queries can be used to update records:
* $set Field set operation.
* - {.., '$set' : {'field1' : val1, 'fieldN' : valN}}
* $upsert Atomic upsert. If matching records are found it will be '$set' operation,
* otherwise new record will be inserted with fields specified by argment object.
* - {.., '$upsert' : {'field1' : val1, 'fieldN' : valN}}
* $inc Increment operation. Only number types are supported.
* - {.., '$inc' : {'field1' : number, ..., 'field1' : number}
* $dropall In-place record removal operation.
* - {.., '$dropall' : true}
* $addToSet Atomically adds value to the array only if its not in the array already.
* If containing array is missing it will be created.
* - {.., '$addToSet' : {'fpath' : val1, 'fpathN' : valN, ...}}
* $addToSetAll Batch version if $addToSet
* - {.., '$addToSetAll' : {'fpath' : [array of values to add], ...}}
* $pull Atomically removes all occurrences of value from field, if field is an array.
* - {.., '$pull' : {'fpath' : val1, 'fpathN' : valN, ...}}
* $pullAll Batch version of $pull
* - {.., '$pullAll' : {'fpath' : [array of values to remove], ...}}
*
* NOTE: Negate operations: $not and $nin not using indexes
* so they can be slow in comparison to other matching operations.
*
* NOTE: Only one index can be used in search query operation.
*
* QUERY HINTS (specified by `hints` argument):
* - $max Maximum number in the result set
* - $skip Number of skipped results in the result set
* - $orderby Sorting order of query fields.
* - $fields Set subset of fetched fields
If a field presented in $orderby clause it will be forced to include in resulting records.
* Example:
* hints: {
* "$orderby" : { //ORDER BY field1 ASC, field2 DESC
* "field1" : 1,
* "field2" : -1
* },
* "$fields" : { //SELECT ONLY {_id, field1, field2}
* "field1" : 1,
* "field2" : 1
* }
* }
*
* Many query examples can be found in `testejdb/t2.c` test case.
*
* @param EJDB database handle.
* @param qobj Main BSON query object.
* @param orqobjs Array of additional OR query objects (joined with OR predicate).
* @param orqobjsnum Number of OR query objects.
* @param hints BSON object with query hints.
* @return On success return query handle. On error returns NULL.
*/
EJDB_EXPORT EJQ* ejdbcreatequery(EJDB *jb, bson *qobj, bson *orqobjs, int orqobjsnum, bson *hints);
You can find some code samples in:
EJDB database files structure
.
├── <dbname>
├── <dbname>_<collection1>
├── ...
├── <dbname>_<collectionN>
└── <dbname>_<collectionN>_<fieldpath>.<index ext>
Where
<dbname> - name of database. It is metadata DB.<collectionN> - name of collection. Collection database.<fieldpath> - JSON field path used in index<index ext> - Collection index extension:
.lex String index.dec Number index.tok Array indexFAQs
EJDB - Embedded JSON Database engine
The npm package ejdb receives a total of 123 weekly downloads. As such, ejdb popularity was classified as not popular.
We found that ejdb demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
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