Distinct Count on Column in Dataset in Strictured Streaming
0
I am New in Structure Streaming Topic. so facing issue while calculating distinct count in column in Dataset/Dataframe.
//DataFrame
val readFromKafka = sparksession.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServer).option("subscribe", topic).option("failOnDataLoss", "false").load()
//Dataset[(String, Timestamp)]
val selected_readFromKafka = inPutStreamData.selectExpr("CAST(value AS STRING)", "CAST(timestamp AS TIMESTAMP)").as[(String, Timestamp)]
//Dataset[(Int, Int, String, Timestamp)]
val final_Data = selected_readFromKafka.map(f => {
val no1 = f._1.split('|').apply(0).toInt
val no2 = f._1.split('|').apply(1).toInt
val data = f._1.split('|').apply(2)
(no1, no2, data, f._2)
})
So how can we calculate distinct count on no1,no2 column final_Data.
val count = final_Data...... ?
Use count variable in below map.
val selected_readFromKafka_Next = selected_readFromKafka.map(f => {
KafkaOutputResponse(
count,
"","",f.data
)
})
selected_readFromKafka_Next.writeStream.format("console").option("truncate", "false").start().awaitTermination()
Thanks in advance.
apache-spark apache-spark-sql spark-structured-streaming apache-spark-dataset
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
add a comment |
0
I am New in Structure Streaming Topic. so facing issue while calculating distinct count in column in Dataset/Dataframe.
//DataFrame
val readFromKafka = sparksession.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServer).option("subscribe", topic).option("failOnDataLoss", "false").load()
//Dataset[(String, Timestamp)]
val selected_readFromKafka = inPutStreamData.selectExpr("CAST(value AS STRING)", "CAST(timestamp AS TIMESTAMP)").as[(String, Timestamp)]
//Dataset[(Int, Int, String, Timestamp)]
val final_Data = selected_readFromKafka.map(f => {
val no1 = f._1.split('|').apply(0).toInt
val no2 = f._1.split('|').apply(1).toInt
val data = f._1.split('|').apply(2)
(no1, no2, data, f._2)
})
So how can we calculate distinct count on no1,no2 column final_Data.
val count = final_Data...... ?
Use count variable in below map.
val selected_readFromKafka_Next = selected_readFromKafka.map(f => {
KafkaOutputResponse(
count,
"","",f.data
)
})
selected_readFromKafka_Next.writeStream.format("console").option("truncate", "false").start().awaitTermination()
Thanks in advance.
apache-spark apache-spark-sql spark-structured-streaming apache-spark-dataset
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
add a comment |
0
0
0
I am New in Structure Streaming Topic. so facing issue while calculating distinct count in column in Dataset/Dataframe.
//DataFrame
val readFromKafka = sparksession.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServer).option("subscribe", topic).option("failOnDataLoss", "false").load()
//Dataset[(String, Timestamp)]
val selected_readFromKafka = inPutStreamData.selectExpr("CAST(value AS STRING)", "CAST(timestamp AS TIMESTAMP)").as[(String, Timestamp)]
//Dataset[(Int, Int, String, Timestamp)]
val final_Data = selected_readFromKafka.map(f => {
val no1 = f._1.split('|').apply(0).toInt
val no2 = f._1.split('|').apply(1).toInt
val data = f._1.split('|').apply(2)
(no1, no2, data, f._2)
})
So how can we calculate distinct count on no1,no2 column final_Data.
val count = final_Data...... ?
Use count variable in below map.
val selected_readFromKafka_Next = selected_readFromKafka.map(f => {
KafkaOutputResponse(
count,
"","",f.data
)
})
selected_readFromKafka_Next.writeStream.format("console").option("truncate", "false").start().awaitTermination()
Thanks in advance.
apache-spark apache-spark-sql spark-structured-streaming apache-spark-dataset
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
I am New in Structure Streaming Topic. so facing issue while calculating distinct count in column in Dataset/Dataframe.
//DataFrame
val readFromKafka = sparksession.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServer).option("subscribe", topic).option("failOnDataLoss", "false").load()
//Dataset[(String, Timestamp)]
val selected_readFromKafka = inPutStreamData.selectExpr("CAST(value AS STRING)", "CAST(timestamp AS TIMESTAMP)").as[(String, Timestamp)]
//Dataset[(Int, Int, String, Timestamp)]
val final_Data = selected_readFromKafka.map(f => {
val no1 = f._1.split('|').apply(0).toInt
val no2 = f._1.split('|').apply(1).toInt
val data = f._1.split('|').apply(2)
(no1, no2, data, f._2)
})
So how can we calculate distinct count on no1,no2 column final_Data.
val count = final_Data...... ?
Use count variable in below map.
val selected_readFromKafka_Next = selected_readFromKafka.map(f => {
KafkaOutputResponse(
count,
"","",f.data
)
})
selected_readFromKafka_Next.writeStream.format("console").option("truncate", "false").start().awaitTermination()
Thanks in advance.
apache-spark apache-spark-sql spark-structured-streaming apache-spark-dataset
apache-spark apache-spark-sql spark-structured-streaming apache-spark-dataset
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
asked Nov 20 '18 at 9:11
Darshan ManekDarshan Manek
637
637
add a comment |
add a comment |
0
active
oldest
votes
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
});
}
});
draft saved
draft discarded
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%2f53389623%2fdistinct-count-on-column-in-dataset-in-strictured-streaming%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
draft saved
draft discarded
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.
draft saved
draft discarded
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%2f53389623%2fdistinct-count-on-column-in-dataset-in-strictured-streaming%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
