spark redis key column mapping not working - null returned
I am following the example from spark-redis connector documentation to create Dataframes from a an existing hash.
The hash built as follows:
127.0.0.1:6379> hset person:1 name John age 30
(integer) 2
127.0.0.1:6379> hset person:2 name Peter age 45
(integer) 2
127.0.0.1:6379> hset person:3 name James age 40
The code to read the hash is as follows -
SparkSession spark = SparkSession
.builder()
.appName("MyApp")
.master("local[*]")
.config("spark.redis.host", "localhost")
.config("spark.redis.port", "6379")
.getOrCreate();
Dataset<Row> df = spark.read()
.format("org.apache.spark.sql.redis")
.schema(new StructType(new StructField {
DataTypes.createStructField("id", DataTypes.StringType, true),
DataTypes.createStructField("name", DataTypes.StringType, false),
DataTypes.createStructField("age", DataTypes.IntegerType, false)
})
)
.option("keys.pattern", "person:*")
.option("key.column", "id")
.load();
df.show();
df.printSchema();
Output
+----+-----+---+
| id| name|age|
+----+-----+---+
|null| John| 30|
|null|James| 40|
|null|Peter| 45|
+----+-----+---+
root
|-- id: string (nullable = true)
|-- name: string (nullable = false)
|-- age: integer (nullable = false)
I was expecting 1, 2, 3 respectively in the Id column, but get null instead. Any pointers in this regard will help. Also this code is in Java so I am not sure if there an issue with data types.
apache-spark dataframe redis key
asked Nov 10 at 22:51
Jerry Pereira
132
add a comment |
I am following the example from spark-redis connector documentation to create Dataframes from a an existing hash.
The hash built as follows:
127.0.0.1:6379> hset person:1 name John age 30
(integer) 2
127.0.0.1:6379> hset person:2 name Peter age 45
(integer) 2
127.0.0.1:6379> hset person:3 name James age 40
The code to read the hash is as follows -
SparkSession spark = SparkSession
.builder()
.appName("MyApp")
.master("local[*]")
.config("spark.redis.host", "localhost")
.config("spark.redis.port", "6379")
.getOrCreate();
Dataset<Row> df = spark.read()
.format("org.apache.spark.sql.redis")
.schema(new StructType(new StructField {
DataTypes.createStructField("id", DataTypes.StringType, true),
DataTypes.createStructField("name", DataTypes.StringType, false),
DataTypes.createStructField("age", DataTypes.IntegerType, false)
})
)
.option("keys.pattern", "person:*")
.option("key.column", "id")
.load();
df.show();
df.printSchema();
Output
+----+-----+---+
| id| name|age|
+----+-----+---+
|null| John| 30|
|null|James| 40|
|null|Peter| 45|
+----+-----+---+
root
|-- id: string (nullable = true)
|-- name: string (nullable = false)
|-- age: integer (nullable = false)
I was expecting 1, 2, 3 respectively in the Id column, but get null instead. Any pointers in this regard will help. Also this code is in Java so I am not sure if there an issue with data types.
apache-spark dataframe redis key
asked Nov 10 at 22:51
Jerry Pereira
132
Can you check whether the data type for id should beIntegerin the schema :DataTypes.createStructField("id", DataTypes.IntegerType, true)instead ofStringType
– Pavithran Ramachandran
Nov 11 at 5:12
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20
add a comment |
I am following the example from spark-redis connector documentation to create Dataframes from a an existing hash.
The hash built as follows:
127.0.0.1:6379> hset person:1 name John age 30
(integer) 2
127.0.0.1:6379> hset person:2 name Peter age 45
(integer) 2
127.0.0.1:6379> hset person:3 name James age 40
The code to read the hash is as follows -
SparkSession spark = SparkSession
.builder()
.appName("MyApp")
.master("local[*]")
.config("spark.redis.host", "localhost")
.config("spark.redis.port", "6379")
.getOrCreate();
Dataset<Row> df = spark.read()
.format("org.apache.spark.sql.redis")
.schema(new StructType(new StructField {
DataTypes.createStructField("id", DataTypes.StringType, true),
DataTypes.createStructField("name", DataTypes.StringType, false),
DataTypes.createStructField("age", DataTypes.IntegerType, false)
})
)
.option("keys.pattern", "person:*")
.option("key.column", "id")
.load();
df.show();
df.printSchema();
Output
+----+-----+---+
| id| name|age|
+----+-----+---+
|null| John| 30|
|null|James| 40|
|null|Peter| 45|
+----+-----+---+
root
|-- id: string (nullable = true)
|-- name: string (nullable = false)
|-- age: integer (nullable = false)
I was expecting 1, 2, 3 respectively in the Id column, but get null instead. Any pointers in this regard will help. Also this code is in Java so I am not sure if there an issue with data types.
apache-spark dataframe redis key
asked Nov 10 at 22:51
Jerry Pereira
132
I am following the example from spark-redis connector documentation to create Dataframes from a an existing hash.
The hash built as follows:
127.0.0.1:6379> hset person:1 name John age 30
(integer) 2
127.0.0.1:6379> hset person:2 name Peter age 45
(integer) 2
127.0.0.1:6379> hset person:3 name James age 40
The code to read the hash is as follows -
SparkSession spark = SparkSession
.builder()
.appName("MyApp")
.master("local[*]")
.config("spark.redis.host", "localhost")
.config("spark.redis.port", "6379")
.getOrCreate();
Dataset<Row> df = spark.read()
.format("org.apache.spark.sql.redis")
.schema(new StructType(new StructField {
DataTypes.createStructField("id", DataTypes.StringType, true),
DataTypes.createStructField("name", DataTypes.StringType, false),
DataTypes.createStructField("age", DataTypes.IntegerType, false)
})
)
.option("keys.pattern", "person:*")
.option("key.column", "id")
.load();
df.show();
df.printSchema();
Output
+----+-----+---+
| id| name|age|
+----+-----+---+
|null| John| 30|
|null|James| 40|
|null|Peter| 45|
+----+-----+---+
root
|-- id: string (nullable = true)
|-- name: string (nullable = false)
|-- age: integer (nullable = false)
I was expecting 1, 2, 3 respectively in the Id column, but get null instead. Any pointers in this regard will help. Also this code is in Java so I am not sure if there an issue with data types.
apache-spark dataframe redis key
apache-spark dataframe redis key
asked Nov 10 at 22:51
Jerry Pereira
132
asked Nov 10 at 22:51
Jerry Pereira
132
asked Nov 10 at 22:51
Jerry Pereira
132
asked Nov 10 at 22:51
Jerry Pereira
132
asked Nov 10 at 22:51
Jerry Pereira
132
132
Can you check whether the data type for id should beIntegerin the schema :DataTypes.createStructField("id", DataTypes.IntegerType, true)instead ofStringType
– Pavithran Ramachandran
Nov 11 at 5:12
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20
add a comment |
Can you check whether the data type for id should beIntegerin the schema :DataTypes.createStructField("id", DataTypes.IntegerType, true)instead ofStringType
– Pavithran Ramachandran
Nov 11 at 5:12
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20
Can you check whether the data type for id should be
Integer in the schema : DataTypes.createStructField("id", DataTypes.IntegerType, true) instead of StringType– Pavithran Ramachandran
Nov 11 at 5:12
Can you check whether the data type for id should be
Integer in the schema : DataTypes.createStructField("id", DataTypes.IntegerType, true) instead of StringType– Pavithran Ramachandran
Nov 11 at 5:12
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20
add a comment |
1 Answer
1
active
oldest
votes
The version you're using doesn't support it - use the master tip until a new version is released.
xref: https://github.com/RedisLabs/spark-redis/issues/114
answered Nov 11 at 13:29
Itamar Haber
28k43659
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The version you're using doesn't support it - use the master tip until a new version is released.
xref: https://github.com/RedisLabs/spark-redis/issues/114
answered Nov 11 at 13:29
Itamar Haber
28k43659
add a comment |
The version you're using doesn't support it - use the master tip until a new version is released.
xref: https://github.com/RedisLabs/spark-redis/issues/114
answered Nov 11 at 13:29
Itamar Haber
28k43659
add a comment |
The version you're using doesn't support it - use the master tip until a new version is released.
xref: https://github.com/RedisLabs/spark-redis/issues/114
answered Nov 11 at 13:29
Itamar Haber
28k43659
The version you're using doesn't support it - use the master tip until a new version is released.
xref: https://github.com/RedisLabs/spark-redis/issues/114
answered Nov 11 at 13:29
Itamar Haber
28k43659
answered Nov 11 at 13:29
Itamar Haber
28k43659
answered Nov 11 at 13:29
Itamar Haber
28k43659
answered Nov 11 at 13:29
Itamar Haber
28k43659
28k43659
add a comment |
add a comment |
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Can you check whether the data type for id should be
Integerin the schema :DataTypes.createStructField("id", DataTypes.IntegerType, true)instead ofStringType– Pavithran Ramachandran
Nov 11 at 5:12
When I use IntegerType I still get null. When I set nullable parameter to false, I get a NPE for StringType and 0 for IntegerType.
– Jerry Pereira
Nov 11 at 6:20