It aims to be a fast MongoDB-like library which can be embedded into C/C++, .Net, NodeJS, Python, Lua, Go, Java and 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
2013-08-19 [v1.1.19 Added support the long awaited mongodb update positional operator] (https://github.com/Softmotions/ejdb/wiki/V1.1.19)2013-08-11 [v1.1.18 Added support for mongodb $ projection] (https://github.com/Softmotions/ejdb/wiki/V1.1.18)2013-08-08 [v1.1.17 Now supported $and & $or mongodb operators] (https://github.com/Softmotions/ejdb/issues/81)2013-07-15 [Google Go binding] (https://github.com/mkilling/goejdb)2013-06-23 [C# .Net binding] (https://github.com/Softmotions/ejdb/tree/master/nejdb)2013-06-02 [Adobe Air Native Extension (ANE) for EJDB (Thanks to @thejustinwalsh)] (https://github.com/thejustinwalsh/airejdb)2013-05-29 EJDB Python 2.7.x binding available2013-05-06 Ruby binding available2013-05-02 NodeJS win32 module available2013-04-25 EJDB and TokyoCabinet API ported to Windows2013-04-03 Java API binding available2013-03-20 Lua binding available2013-02-15 EJDB Python3 binding available2013-02-07 Debian packages provided2013-01-22 Collection joins now supportedvar EJDB = require("ejdb");
//Open zoo DB
var jb = EJDB.open("zoo", EJDB.DEFAULT_OPEN_MODE | EJDB.JBOTRUNC);
var parrot1 = {
"name" : "Grenny",
"type" : "African Grey",
"male" : true,
"age" : 1,
"birthdate" : new Date(),
"likes" : ["green color", "night", "toys"],
"extra1" : null
};
var parrot2 = {
"name" : "Bounty",
"type" : "Cockatoo",
"male" : false,
"age" : 15,
"birthdate" : new Date(),
"likes" : ["sugar cane"]
};
jb.save("parrots", [parrot1, parrot2], function(err, oids) {
if (err) {
console.error(err);
return;
}
console.log("Grenny OID: " + parrot1["_id"]);
console.log("Bounty OID: " + parrot2["_id"]);
jb.find("parrots",
{"likes" : "toys"},
{"$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
});
});
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()
package ejdbtutorial
import (
"fmt"
"github.com/mkilling/goejdb"
"labix.org/v2/mgo/bson"
"os"
)
func main() {
// Create a new database file and open it
jb, err := goejdb.Open("addressbook", JBOWRITER | JBOCREAT | JBOTRUNC)
if err != nil {
os.Exit(1)
}
// Get or create collection 'contacts'
coll, _ := jb.CreateColl("contacts", nil)
// Insert one record:
// JSON: {'name' : 'Bruce', 'phone' : '333-222-333', 'age' : 58}
rec := map[string]interface{} {"name" : "Bruce", "phone" : "333-222-333", "age" : 58}
bsrec, _ := bson.Marshal(rec)
coll.SaveBson(bsrec)
fmt.Printf("\nSaved Bruce")
// Now execute query
res, _ := coll.Find(`{"name" : {"$begin" : "Bru"}}`) // Name starts with 'Bru' string
fmt.Printf("\n\nRecords found: %d\n", len(res))
// Now print the result set records
for _, bs := range res {
var m map[string]interface{}
bson.Unmarshal(bs, &m)
fmt.Println(m)
}
// Close database
jb.Close()
}
require "rbejdb"
#Open zoo DB
jb = EJDB.open("zoo", EJDB::DEFAULT_OPEN_MODE | EJDB::JBOTRUNC)
parrot1 = {
"name" => "Grenny",
"type" => "African Grey",
"male" => true,
"age" => 1,
"birthdate" => Time.now,
"likes" => ["green color", "night", "toys"],
"extra1" => nil
}
parrot2 = {
"name" => "Bounty",
"type" => "Cockatoo",
"male" => false,
"age" => 15,
"birthdate" => Time.now,
"likes" => ["sugar cane"],
"extra1" => nil
}
jb.save("parrots", parrot1, parrot2)
puts "Grenny OID: #{parrot1["_id"]}"
puts "Bounty OID: #{parrot2["_id"]}"
results = jb.find("parrots", {"likes" => "toys"}, {"$orderby" => {"name" => 1}})
puts "Found #{results.count} parrots"
results.each { |res|
puts "#{res['name']} likes toys!"
}
results.close #It's not mandatory to close cursor explicitly
jb.close #Close the database
// Open the zoo DB
var db:EJDBDatabase = EJDB.open("zoo", EJDB.DEFAULT_OPEN_MODE | EJDB.JBOTRUNC) as EJDBDatabase;
var parrot1:Object = {
"name" : "Grenny",
"type" : "African Grey",
"male" : true,
"age" : 1,
"birthdate" : new Date(),
"likes" : ["green color", "night", "toys"],
"extra1" : null
};
var parrot2:Object = {
"name" : "Bounty",
"type" : "Cockatoo",
"male" : false,
"age" : 15,
"birthdate" : new Date(),
"likes" : ["sugar cane"]
};
var oids:Array = db.save("parrots", [parrot1, parrot2]);
trace("Grenny OID: " + parrot1._id);
trace("Bounty OID: " + parrot2._id);
var cursor:EJDBCursor = db.find("parrots",
{"likes" : "toys"},
[],
{"$orderby" : {"name" : 1}}
);
trace("Found " + cursor.length + " parrots");
while (cursor.next()) {
trace(cursor.field("name") + " likes toys!");
}
cursor.close(); // It IS mandatory to close cursor explicitly to free up resources
db.close(); // Close the database
[Adobe Air Native Extension (ANE) for EJDB] (https://github.com/thejustinwalsh/airejdb)
#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.
* - $and, $or joining:
* - {..., $and : [subq1, subq2, ...] }
* - {..., $or : [subq1, subq2, ...] }
* Example: {z : 33, $and : [ {$or : [{a : 1}, {b : 2}]}, {$or : [{c : 5}, {d : 7}]} ] }
*
* - Mongodb $(projection) operator supported. (http://docs.mongodb.org/manual/reference/projection/positional/#proj._S_)
* - Mongodb positional $ update operator supported. (http://docs.mongodb.org/manual/reference/operator/positional/)
*
*
* - 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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