rethinkdb eqJoin on multiple fields
0
I want to run a query using join on two very large tables.
What is the equivalent rethinkdb syntax for this sql?
SELECT t1.uuid,t1.timestamp,t2.name
FROM t1
JOIN t2 ON t1.uuid=t2.uuid AND t1.timestamp=t2.timestamp
For the example reference, this is the sql for the tables:
CREATE TABLE t1(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
PRIMARY KEY(id)) ENGINE=INNODB;
CREATE TABLE t2(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
name CHAR(30) NOT NULL,
PRIMARY KEY(id));
rethinkdb rethinkdb-python
edited Nov 14 '18 at 19:19
pfx
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
add a comment |
0
I want to run a query using join on two very large tables.
What is the equivalent rethinkdb syntax for this sql?
SELECT t1.uuid,t1.timestamp,t2.name
FROM t1
JOIN t2 ON t1.uuid=t2.uuid AND t1.timestamp=t2.timestamp
For the example reference, this is the sql for the tables:
CREATE TABLE t1(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
PRIMARY KEY(id)) ENGINE=INNODB;
CREATE TABLE t2(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
name CHAR(30) NOT NULL,
PRIMARY KEY(id));
rethinkdb rethinkdb-python
edited Nov 14 '18 at 19:19
pfx
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
add a comment |
0
0
0
I want to run a query using join on two very large tables.
What is the equivalent rethinkdb syntax for this sql?
SELECT t1.uuid,t1.timestamp,t2.name
FROM t1
JOIN t2 ON t1.uuid=t2.uuid AND t1.timestamp=t2.timestamp
For the example reference, this is the sql for the tables:
CREATE TABLE t1(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
PRIMARY KEY(id)) ENGINE=INNODB;
CREATE TABLE t2(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
name CHAR(30) NOT NULL,
PRIMARY KEY(id));
rethinkdb rethinkdb-python
edited Nov 14 '18 at 19:19
pfx
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
I want to run a query using join on two very large tables.
What is the equivalent rethinkdb syntax for this sql?
SELECT t1.uuid,t1.timestamp,t2.name
FROM t1
JOIN t2 ON t1.uuid=t2.uuid AND t1.timestamp=t2.timestamp
For the example reference, this is the sql for the tables:
CREATE TABLE t1(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
PRIMARY KEY(id)) ENGINE=INNODB;
CREATE TABLE t2(
id INT NOT NULL AUTO_INCREMENT,
uuid CHAR(30) NOT NULL,
timestamp CHAR(30) NOT NULL,
name CHAR(30) NOT NULL,
PRIMARY KEY(id));
rethinkdb rethinkdb-python
rethinkdb rethinkdb-python
edited Nov 14 '18 at 19:19
pfx
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
edited Nov 14 '18 at 19:19
pfx
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
edited Nov 14 '18 at 19:19
pfx
5,270121934
edited Nov 14 '18 at 19:19
pfx
5,270121934
edited Nov 14 '18 at 19:19
pfx
5,270121934
5,270121934
asked Nov 14 '18 at 18:58
ZoharZohar
1
asked Nov 14 '18 at 18:58
ZoharZohar
1
asked Nov 14 '18 at 18:58
ZoharZohar
1
1
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
0
The quick and dirty solution would be:
r.table("t1").innerJoin(
r.table("t2"),
function (doc1, doc2) {
return doc1("uuid").eq(doc2("uuid"))
.and(doc1("timestamp").eq(doc2("timestamp")));
}).zip()
But you may want to create a compound index on those fields
r.table("t1").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t2").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t1").eqJoin(
"myIndex",
r.table("t2"),
{index: "myIndex"}
).zip()
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
The quick and dirty solution would be:
r.table("t1").innerJoin(
r.table("t2"),
function (doc1, doc2) {
return doc1("uuid").eq(doc2("uuid"))
.and(doc1("timestamp").eq(doc2("timestamp")));
}).zip()
But you may want to create a compound index on those fields
r.table("t1").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t2").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t1").eqJoin(
"myIndex",
r.table("t2"),
{index: "myIndex"}
).zip()
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
add a comment |
0
The quick and dirty solution would be:
r.table("t1").innerJoin(
r.table("t2"),
function (doc1, doc2) {
return doc1("uuid").eq(doc2("uuid"))
.and(doc1("timestamp").eq(doc2("timestamp")));
}).zip()
But you may want to create a compound index on those fields
r.table("t1").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t2").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t1").eqJoin(
"myIndex",
r.table("t2"),
{index: "myIndex"}
).zip()
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
add a comment |
0
0
0
The quick and dirty solution would be:
r.table("t1").innerJoin(
r.table("t2"),
function (doc1, doc2) {
return doc1("uuid").eq(doc2("uuid"))
.and(doc1("timestamp").eq(doc2("timestamp")));
}).zip()
But you may want to create a compound index on those fields
r.table("t1").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t2").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t1").eqJoin(
"myIndex",
r.table("t2"),
{index: "myIndex"}
).zip()
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
The quick and dirty solution would be:
r.table("t1").innerJoin(
r.table("t2"),
function (doc1, doc2) {
return doc1("uuid").eq(doc2("uuid"))
.and(doc1("timestamp").eq(doc2("timestamp")));
}).zip()
But you may want to create a compound index on those fields
r.table("t1").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t2").indexCreate(
"myIndex", [r.row("uuid"), r.row("timestamp")])
r.table("t1").eqJoin(
"myIndex",
r.table("t2"),
{index: "myIndex"}
).zip()
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
answered Nov 15 '18 at 9:34
taygetostaygetos
1,23511018
1,23511018
add a comment |
add a comment |
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