[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16702228#comment-16702228
]
Apache Spark commented on SPARK-24423:
--
User 'wangyum' has created a pull request for this issue:
https://github.com/apache/spark/pull/23170
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Assignee: Dilip Biswal
>Priority: Major
> Fix For: 2.4.0
>
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
> {code}
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
> {code}
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
> {code}
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Users are not allowed to specify query and dbtable at the same time.
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[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16516732#comment-16516732
]
Apache Spark commented on SPARK-24423:
--
User 'dilipbiswal' has created a pull request for this issue:
https://github.com/apache/spark/pull/21590
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Priority: Major
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
> {code}
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
> {code}
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
> {code}
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Users are not allowed to specify query and dbtable at the same time.
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[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16516071#comment-16516071
]
Dilip Biswal commented on SPARK-24423:
--
[~maropu] Hello, yes. I will open a PR today/tomorrow.
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Priority: Major
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
> {code}
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
> {code}
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
> {code}
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Users are not allowed to specify query and dbtable at the same time.
--
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[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16514735#comment-16514735
]
Takeshi Yamamuro commented on SPARK-24423:
--
Are'u still working on this?
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Priority: Major
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
> {code}
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
> {code}
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
> {code}
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
> {code}
> Users are not allowed to specify query and dbtable at the same time.
--
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[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16494753#comment-16494753
]
Dilip Biswal commented on SPARK-24423:
--
[~smilegator] Thanks Sean for pinging me. I would like to take a look at this
one.
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Priority: Major
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
>
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
>
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
>
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
>
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
>
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
>
> Users are not allowed to specify query and dbtable at the same time.
--
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[jira] [Commented] (SPARK-24423) Add a new option `query` for JDBC sources
[
https://issues.apache.org/jira/browse/SPARK-24423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16494739#comment-16494739
]
Xiao Li commented on SPARK-24423:
-
cc [~dkbiswal] Are your team interested in this task?
> Add a new option `query` for JDBC sources
> -
>
> Key: SPARK-24423
> URL: https://issues.apache.org/jira/browse/SPARK-24423
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Xiao Li
>Priority: Major
>
> Currently, our JDBC connector provides the option `dbtable` for users to
> specify the to-be-loaded JDBC source table.
>
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", "dbName.tableName")
> .options(jdbcCredentials: Map)
> .load()
>
> Normally, users do not fetch the whole JDBC table due to the poor
> performance/throughput of JDBC. Thus, they normally just fetch a small set of
> tables. For advanced users, they can pass a subquery as the option.
>
> val query = """ (select * from tableName limit 10) as tmp """
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*dbtable*", query)
> .options(jdbcCredentials: Map)
> .load()
>
> However, this is straightforward to end users. We should simply allow users
> to specify the query by a new option `query`. We will handle the complexity
> for them.
>
> val query = """select * from tableName limit 10"""
> val jdbcDf = spark.read
> .format("jdbc")
> .option("*{color:#ff}query{color}*", query)
> .options(jdbcCredentials: Map)
> .load()
>
> Users are not allowed to specify query and dbtable at the same time.
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