A filter with objectId is not performed at the database level
I am occupying the mongo connector (mongo-spark-connector_2.11:2.3.1
), when I make a query about the primary key that is of type ObjectId. It never does Pushed to DB
example (ObjectId) :
|-- _id: struct (nullable = true)
| |-- oid: string (nullable = true)
dataframe1.filter($"_id.oid" === ("58115596d12d37d780353ed7"))
== Physical Plan ==
*(1) Filter ((_id#491.oid = 58115596d12d37d780353ed7) && isnotnull(_id#491))
+- *(1) Scan MongoRelation(MongoRDD[73] at RDD ... PushedFilters: [IsNotNull(_id)] ...
, but if it is of another type it does.
example (String):
_id: string (nullable = true)
dataframe2.filter($"_id" === ("LEM"))
== Physical Plan ==
*(1) Filter (isnotnull(_id#455) && (_id#455 = LEM))
+- *(1) Scan MongoRelation(MongoRDD[52] at RDD at ...... PushedFilters: [IsNotNull(_id), EqualTo(_id,LEM)] ..
Does anyone know any way to perform these queries at the database level with spark and mongodb?
mongodb apache-spark
add a comment |
I am occupying the mongo connector (mongo-spark-connector_2.11:2.3.1
), when I make a query about the primary key that is of type ObjectId. It never does Pushed to DB
example (ObjectId) :
|-- _id: struct (nullable = true)
| |-- oid: string (nullable = true)
dataframe1.filter($"_id.oid" === ("58115596d12d37d780353ed7"))
== Physical Plan ==
*(1) Filter ((_id#491.oid = 58115596d12d37d780353ed7) && isnotnull(_id#491))
+- *(1) Scan MongoRelation(MongoRDD[73] at RDD ... PushedFilters: [IsNotNull(_id)] ...
, but if it is of another type it does.
example (String):
_id: string (nullable = true)
dataframe2.filter($"_id" === ("LEM"))
== Physical Plan ==
*(1) Filter (isnotnull(_id#455) && (_id#455 = LEM))
+- *(1) Scan MongoRelation(MongoRDD[52] at RDD at ...... PushedFilters: [IsNotNull(_id), EqualTo(_id,LEM)] ..
Does anyone know any way to perform these queries at the database level with spark and mongodb?
mongodb apache-spark
add a comment |
I am occupying the mongo connector (mongo-spark-connector_2.11:2.3.1
), when I make a query about the primary key that is of type ObjectId. It never does Pushed to DB
example (ObjectId) :
|-- _id: struct (nullable = true)
| |-- oid: string (nullable = true)
dataframe1.filter($"_id.oid" === ("58115596d12d37d780353ed7"))
== Physical Plan ==
*(1) Filter ((_id#491.oid = 58115596d12d37d780353ed7) && isnotnull(_id#491))
+- *(1) Scan MongoRelation(MongoRDD[73] at RDD ... PushedFilters: [IsNotNull(_id)] ...
, but if it is of another type it does.
example (String):
_id: string (nullable = true)
dataframe2.filter($"_id" === ("LEM"))
== Physical Plan ==
*(1) Filter (isnotnull(_id#455) && (_id#455 = LEM))
+- *(1) Scan MongoRelation(MongoRDD[52] at RDD at ...... PushedFilters: [IsNotNull(_id), EqualTo(_id,LEM)] ..
Does anyone know any way to perform these queries at the database level with spark and mongodb?
mongodb apache-spark
I am occupying the mongo connector (mongo-spark-connector_2.11:2.3.1
), when I make a query about the primary key that is of type ObjectId. It never does Pushed to DB
example (ObjectId) :
|-- _id: struct (nullable = true)
| |-- oid: string (nullable = true)
dataframe1.filter($"_id.oid" === ("58115596d12d37d780353ed7"))
== Physical Plan ==
*(1) Filter ((_id#491.oid = 58115596d12d37d780353ed7) && isnotnull(_id#491))
+- *(1) Scan MongoRelation(MongoRDD[73] at RDD ... PushedFilters: [IsNotNull(_id)] ...
, but if it is of another type it does.
example (String):
_id: string (nullable = true)
dataframe2.filter($"_id" === ("LEM"))
== Physical Plan ==
*(1) Filter (isnotnull(_id#455) && (_id#455 = LEM))
+- *(1) Scan MongoRelation(MongoRDD[52] at RDD at ...... PushedFilters: [IsNotNull(_id), EqualTo(_id,LEM)] ..
Does anyone know any way to perform these queries at the database level with spark and mongodb?
mongodb apache-spark
mongodb apache-spark
asked Nov 28 '18 at 16:38
user1906400user1906400
61
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