[jira] [Assigned] (SPARK-42690) Implement CSV/JSON parsing funcions
[
https://issues.apache.org/jira/browse/SPARK-42690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ruifeng Zheng reassigned SPARK-42690:
-
Assignee: Yang Jie
> Implement CSV/JSON parsing funcions
> ---
>
> Key: SPARK-42690
> URL: https://issues.apache.org/jira/browse/SPARK-42690
> Project: Spark
> Issue Type: New Feature
> Components: Connect
>Affects Versions: 3.4.0
>Reporter: Herman van Hövell
>Assignee: Yang Jie
>Priority: Major
>
> Implement the following two methods in DataFrameReader:
>
>
> {code:java}
> /**
> * Loads a `Dataset[String]` storing JSON objects ( href="http://jsonlines.org/";>JSON Lines
> * text format or newline-delimited JSON) and returns the result as a
> `DataFrame`.
> *
> * Unless the schema is specified using `schema` function, this function goes
> through the
> * input once to determine the input schema.
> *
> * @param jsonDataset input Dataset with one JSON object per record
> * @since 3.4.0
> */
> def json(jsonDataset: Dataset[String]): DataFrame
> /**
> * Loads an `Dataset[String]` storing CSV rows and returns the result as a
> `DataFrame`.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is enabled,
> * this function goes through the input once to determine the input schema.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is disabled,
> * it determines the columns as string types and it reads only the first line
> to determine the
> * names and the number of fields.
> *
> * If the enforceSchema is set to `false`, only the CSV header in the first
> line is checked
> * to conform specified or inferred schema.
> *
> * @note if `header` option is set to `true` when calling this API, all lines
> same with
> * the header will be removed if exists.
> *
> * @param csvDataset input Dataset with one CSV row per record
> * @since 3.4.0
> */
> def csv(csvDataset: Dataset[String]): DataFrame
> {code}
>
> For this we need a new message. We cannot use project because we don't know
> the schema upfront.
>
> {code:java}
> message Parse {
> // (Required) Input relation to Parse. The input is expected to have single
> text column.
> Relation input = 1;
> // (Required) The expected format of the text.
> ParseFormat format = 2;
> enum ParseFormat {
> PARSE_FORMAT_UNSPECIFIED = 0;
> PARSE_FORMAT_CSV = 1;
> PARSE_FORMAT_JSON = 2;
> }
> }
> {code}
>
>
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[jira] [Assigned] (SPARK-42690) Implement CSV/JSON parsing funcions
[
https://issues.apache.org/jira/browse/SPARK-42690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-42690:
Assignee: Apache Spark
> Implement CSV/JSON parsing funcions
> ---
>
> Key: SPARK-42690
> URL: https://issues.apache.org/jira/browse/SPARK-42690
> Project: Spark
> Issue Type: New Feature
> Components: Connect
>Affects Versions: 3.4.0
>Reporter: Herman van Hövell
>Assignee: Apache Spark
>Priority: Major
>
> Implement the following two methods in DataFrameReader:
>
>
> {code:java}
> /**
> * Loads a `Dataset[String]` storing JSON objects ( href="http://jsonlines.org/";>JSON Lines
> * text format or newline-delimited JSON) and returns the result as a
> `DataFrame`.
> *
> * Unless the schema is specified using `schema` function, this function goes
> through the
> * input once to determine the input schema.
> *
> * @param jsonDataset input Dataset with one JSON object per record
> * @since 3.4.0
> */
> def json(jsonDataset: Dataset[String]): DataFrame
> /**
> * Loads an `Dataset[String]` storing CSV rows and returns the result as a
> `DataFrame`.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is enabled,
> * this function goes through the input once to determine the input schema.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is disabled,
> * it determines the columns as string types and it reads only the first line
> to determine the
> * names and the number of fields.
> *
> * If the enforceSchema is set to `false`, only the CSV header in the first
> line is checked
> * to conform specified or inferred schema.
> *
> * @note if `header` option is set to `true` when calling this API, all lines
> same with
> * the header will be removed if exists.
> *
> * @param csvDataset input Dataset with one CSV row per record
> * @since 3.4.0
> */
> def csv(csvDataset: Dataset[String]): DataFrame
> {code}
>
> For this we need a new message. We cannot use project because we don't know
> the schema upfront.
>
> {code:java}
> message Parse {
> // (Required) Input relation to Parse. The input is expected to have single
> text column.
> Relation input = 1;
> // (Required) The expected format of the text.
> ParseFormat format = 2;
> enum ParseFormat {
> PARSE_FORMAT_UNSPECIFIED = 0;
> PARSE_FORMAT_CSV = 1;
> PARSE_FORMAT_JSON = 2;
> }
> }
> {code}
>
>
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[jira] [Assigned] (SPARK-42690) Implement CSV/JSON parsing funcions
[
https://issues.apache.org/jira/browse/SPARK-42690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-42690:
Assignee: (was: Apache Spark)
> Implement CSV/JSON parsing funcions
> ---
>
> Key: SPARK-42690
> URL: https://issues.apache.org/jira/browse/SPARK-42690
> Project: Spark
> Issue Type: New Feature
> Components: Connect
>Affects Versions: 3.4.0
>Reporter: Herman van Hövell
>Priority: Major
>
> Implement the following two methods in DataFrameReader:
>
>
> {code:java}
> /**
> * Loads a `Dataset[String]` storing JSON objects ( href="http://jsonlines.org/";>JSON Lines
> * text format or newline-delimited JSON) and returns the result as a
> `DataFrame`.
> *
> * Unless the schema is specified using `schema` function, this function goes
> through the
> * input once to determine the input schema.
> *
> * @param jsonDataset input Dataset with one JSON object per record
> * @since 3.4.0
> */
> def json(jsonDataset: Dataset[String]): DataFrame
> /**
> * Loads an `Dataset[String]` storing CSV rows and returns the result as a
> `DataFrame`.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is enabled,
> * this function goes through the input once to determine the input schema.
> *
> * If the schema is not specified using `schema` function and `inferSchema`
> option is disabled,
> * it determines the columns as string types and it reads only the first line
> to determine the
> * names and the number of fields.
> *
> * If the enforceSchema is set to `false`, only the CSV header in the first
> line is checked
> * to conform specified or inferred schema.
> *
> * @note if `header` option is set to `true` when calling this API, all lines
> same with
> * the header will be removed if exists.
> *
> * @param csvDataset input Dataset with one CSV row per record
> * @since 3.4.0
> */
> def csv(csvDataset: Dataset[String]): DataFrame
> {code}
>
> For this we need a new message. We cannot use project because we don't know
> the schema upfront.
>
> {code:java}
> message Parse {
> // (Required) Input relation to Parse. The input is expected to have single
> text column.
> Relation input = 1;
> // (Required) The expected format of the text.
> ParseFormat format = 2;
> enum ParseFormat {
> PARSE_FORMAT_UNSPECIFIED = 0;
> PARSE_FORMAT_CSV = 1;
> PARSE_FORMAT_JSON = 2;
> }
> }
> {code}
>
>
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