CharanHS30 opened a new issue, #10882:
URL: https://github.com/apache/iceberg/issues/10882
### Query engine
import org.apache.spark.SparkConf
import org.apache.spark.internal.Logging
import org.apache.spark.sql.{DataFrame, SparkSession}
import org.scalatest.{BeforeAndAfter, BeforeAndAfterAll}
import org.scalatest.flatspec.AnyFlatSpec
import org.scalatest.matchers.should.Matchers
import java.io.File
import scala.reflect.io.Directory
class SparkIcebergTest extends AnyFlatSpec with Matchers
with BeforeAndAfter with BeforeAndAfterAll with Logging {
val warehouseDir: String = "src/test/resources/warehouse"
lazy val conf: SparkConf = new SparkConf()
// this needs to match the version of iceberg used in Dependencies.scala
conf.set("spark.jars.packages",
"org.apache.iceberg:iceberg-spark-runtime-3.3_2.12:1.3.0")
conf.set("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
conf.set("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkSessionCatalog")
conf.set("spark.sql.catalog.local",
"org.apache.iceberg.spark.SparkCatalog")
conf.set("spark.sql.catalog.local.type", "hadoop")
conf.set("spark.sql.catalog.local.warehouse", warehouseDir)
lazy val spark: SparkSession =
SparkSession
.builder()
.appName("iceberg-merge-into-test")
.master("local[*]")
.config(conf)
.enableHiveSupport()
.getOrCreate()
def cleanWarehouse(): Unit = {
if (new Directory(new File(warehouseDir)).deleteRecursively()) {
log.debug("deleted hadoop warehouse dir")
} else {
log.debug("nothing to delete")
}
}
override def afterAll(): Unit = {
spark.stop()
cleanWarehouse()
()
}
("instantiating a spark session with iceberg support" should "allow to
create an iceberg table") in {
spark.sql("CREATE TABLE local.db.table (id int, data string) USING
iceberg").show()
spark.sql("show tables in local.db").count() should be(1)
}
(it should "allow to insert data into an iceberg table") in {
spark.sql("INSERT INTO local.db.table VALUES (1, 'a'), (2, 'b')")
val df: DataFrame = spark.sql("SELECT * FROM local.db.table")
df.count() should be(2)
}
(it should "allow to insert more data into a table") in {
spark.sql("INSERT INTO local.db.table VALUES (3, 'a'), (4, 'b')")
val df: DataFrame = spark.sql("SELECT * FROM local.db.table")
df.count() should be(4)
}
(it should "allow to read data from table with spark read format iceberg")
in {
spark.read.format("iceberg").load("local.db.table").createOrReplaceTempView("source")
val df: DataFrame = spark.sql("SELECT * from source")
df.count() should be(4)
}
(it should "allow to merge records into a table without duplicates") in {
spark.sql("CREATE TABLE local.db.table2 (id int, data string) USING
iceberg").show()
spark.sql("INSERT INTO local.db.table2 VALUES (3, 'a'), (5, 'c')")
// (3, 'a') would be a duplicate --> should not be written
spark.sql(
"""MERGE INTO local.db.table2 t
|USING (SELECT * FROM source) t2
|ON t.id = t2.id
|WHEN NOT MATCHED THEN INSERT *"""
.stripMargin)
val df: DataFrame = spark.sql("SELECT * FROM local.db.table2")
df.count() should be(5)
}
}
### Question
Spark version: 3.3.2
Iceberg version: 1.3.0
Q1. Do you have spark.sql.extensions?
Ans: Yes.
Q2. Do you have the iceberg-spark-runtime package?
Ans: Yes.
I am still getting the error "MERGE INTO TABLE is not supported
temporarily." How can I fix this issue? Kindly help me here.
Hi @ru, I have seen that you have provided many solutions for this, but none
of them have worked for my use case. Kindly help me here.
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