I am trying to read data from Elasticsearch via Spark Scala:
Scala 2.11.8, Spark 2.3.0, Elasticsearch 5.6.8
To Connect -- spark2-shell --jars elasticsearch-spark-20_2.11-5.6.8.jar
val df = spark.read.format("org.elasticsearch.spark.sql").option("es.nodes", "xxxxxxx").option("es.port", "xxxx").option("es.net.http.auth.user","xxxxx").option("spark.serializer", "org.apache.spark.serializer.KryoSerializer").option("es.net.http.auth.pass", "xxxxxx").option("es.net.ssl", "true").option("es.nodes.wan.only", "true").option("es.net.ssl.cert.allow.self.signed", "true").option("es.net.ssl.truststore.location", "xxxxx").option("es.net.ssl.truststore.pass", "xxxxx").option("es.read.field.as.array.include","true").option("pushdown", "true").option("es.read.field.as.array.include","a4,a4.a41,a4.a42,a4.a43,a4.a43.a431,a4.a43.a432,a4.a44,a4.a45").load("<index_name>")
Schema as below
|-- a1: string (nullable = true)
|-- a2: string (nullable = true)
|-- a3: struct (nullable = true)
| |-- a31: integer (nullable = true)
| |-- a32: struct (nullable = true)
|-- a4: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- a41: string (nullable = true)
| | |-- a42: string (nullable = true)
| | |-- a43: struct (nullable = true)
| | | |-- a431: string (nullable = true)
| | | |-- a432: string (nullable = true)
| | |-- a44: string (nullable = true)
| | |-- a45: string (nullable = true)
|-- a8: string (nullable = true)
|-- a9: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- a91: string (nullable = true)
| | |-- a92: string (nullable = true)
|-- a10: string (nullable = true)
|-- a11: timestamp (nullable = true)
Though I am able to read data from direct columns and nested schema level 1 (i.e a9 or a3 columns) via command:
df.select(explode($"a9").as("exploded")).select("exploded.*").show
Problem is occuring when I am trying to read a4 elements as its throwing me below error:
: scala.MatchError: Buffer() (of class scala.collection.convert.Wrappers$JListWrapper)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:276)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:275)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:103)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:241)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:231)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:103)
at org.apache.spark.sql.catalyst.CatalystTypeConverters$ArrayConverter$anonfun$toCatalystImpl$2.apply(CatalystTypeConverters.scala:164)
at scala.collection.TraversableLike$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$anonfun$map$1.apply(TraversableLike.scala:234)............
Anything I am doing wrong or any steps I am missing? Please Help