Is it possible to build spark code on fly and execute?
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 Nov 19 '18 at 10:37
William RWilliam R
303419
add a comment |
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 Nov 19 '18 at 10:37
William RWilliam R
303419
.options(options) helps to achieve the same.
– William R
Nov 19 '18 at 15:31
add a comment |
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 Nov 19 '18 at 10:37
William RWilliam R
303419
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 Nov 19 '18 at 10:37
William RWilliam R
303419
asked Nov 19 '18 at 10:37
William RWilliam R
303419
asked Nov 19 '18 at 10:37
William RWilliam R
303419
asked Nov 19 '18 at 10:37
William RWilliam R
303419
asked Nov 19 '18 at 10:37
William RWilliam R
303419
303419
.options(options) helps to achieve the same.
– William R
Nov 19 '18 at 15:31
add a comment |
.options(options) helps to achieve the same.
– William R
Nov 19 '18 at 15:31
.options(options) helps to achieve the same.
– William R
Nov 19 '18 at 15:31
.options(options) helps to achieve the same.
– William R
Nov 19 '18 at 15:31
add a comment |
1 Answer
1
active
oldest
votes
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.options(options)
.load(inputPath)
readDF
}
There is an options which takes key, value pair.
answered Nov 24 '18 at 20:47
William RWilliam R
303419
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
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
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.options(options)
.load(inputPath)
readDF
}
There is an options which takes key, value pair.
answered Nov 24 '18 at 20:47
William RWilliam R
303419
add a comment |
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.options(options)
.load(inputPath)
readDF
}
There is an options which takes key, value pair.
answered Nov 24 '18 at 20:47
William RWilliam R
303419
add a comment |
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.options(options)
.load(inputPath)
readDF
}
There is an options which takes key, value pair.
answered Nov 24 '18 at 20:47
William RWilliam R
303419
def readCsvWithOptions(): DataFrame=
{
val options:Map[String,String]= Map("inferSchema"->"true")
val readDF = jobContext.spark.read.format("com.databricks.spark.csv")
.options(options)
.load(inputPath)
readDF
}
There is an options which takes key, value pair.
answered Nov 24 '18 at 20:47
William RWilliam R
303419
answered Nov 24 '18 at 20:47
William RWilliam R
303419
answered Nov 24 '18 at 20:47
William RWilliam R
303419
answered Nov 24 '18 at 20:47
William RWilliam R
303419
303419
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
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
Nov 19 '18 at 15:31