Is it possible to build spark code on fly and execute?
up vote
-1
down vote
favorite
I am trying to create a generic function to read a csv file using databriks CSV READER.But the option's are not mandatory it can differ based on the my input json configuration file.
Example1 :
"ReaderOption":{
"delimiter":";",
"header":"true",
"inferSchema":"true",
"schema":"""some custome schema.."""
},
Example2:
"ReaderOption":{
"delimiter":";",
"schema":"""some custome schema.."""
},
Is it possible to construct options or the entire read statement in runtime and run in spark ?
like below,
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.option(options)
.load(inputPath)
readDF
}
apache-spark apache-spark-sql databricks
asked 2 days ago
William R
186318
add a comment |
up vote
-1
down vote
favorite
I am trying to create a generic function to read a csv file using databriks CSV READER.But the option's are not mandatory it can differ based on the my input json configuration file.
Example1 :
"ReaderOption":{
"delimiter":";",
"header":"true",
"inferSchema":"true",
"schema":"""some custome schema.."""
},
Example2:
"ReaderOption":{
"delimiter":";",
"schema":"""some custome schema.."""
},
Is it possible to construct options or the entire read statement in runtime and run in spark ?
like below,
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.option(options)
.load(inputPath)
readDF
}
apache-spark apache-spark-sql databricks
asked 2 days ago
William R
186318
.options(options) helps to achieve the same.
– William R
2 days ago
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I am trying to create a generic function to read a csv file using databriks CSV READER.But the option's are not mandatory it can differ based on the my input json configuration file.
Example1 :
"ReaderOption":{
"delimiter":";",
"header":"true",
"inferSchema":"true",
"schema":"""some custome schema.."""
},
Example2:
"ReaderOption":{
"delimiter":";",
"schema":"""some custome schema.."""
},
Is it possible to construct options or the entire read statement in runtime and run in spark ?
like below,
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.option(options)
.load(inputPath)
readDF
}
apache-spark apache-spark-sql databricks
asked 2 days ago
William R
186318
I am trying to create a generic function to read a csv file using databriks CSV READER.But the option's are not mandatory it can differ based on the my input json configuration file.
Example1 :
"ReaderOption":{
"delimiter":";",
"header":"true",
"inferSchema":"true",
"schema":"""some custome schema.."""
},
Example2:
"ReaderOption":{
"delimiter":";",
"schema":"""some custome schema.."""
},
Is it possible to construct options or the entire read statement in runtime and run in spark ?
like below,
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.option(options)
.load(inputPath)
readDF
}
apache-spark apache-spark-sql databricks
apache-spark apache-spark-sql databricks
asked 2 days ago
William R
186318
asked 2 days ago
William R
186318
asked 2 days ago
William R
186318
asked 2 days ago
William R
186318
asked 2 days ago
William R
186318
186318
.options(options) helps to achieve the same.
– William R
2 days ago
add a comment |
.options(options) helps to achieve the same.
– William R
2 days ago
.options(options) helps to achieve the same.
– William R
2 days ago
.options(options) helps to achieve the same.
– William R
2 days ago
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53372781%2fis-it-possible-to-build-spark-code-on-fly-and-execute%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
.options(options) helps to achieve the same.
– William R
2 days ago