答复: Re: Re: How to get all input tables of a SPARK SQL 'select' statement
Thank you so much. I tried your suggestion and it really works!
发件人:
"Ramandeep Singh Nanda"
收件人:
l...@china-inv.cn
抄送:
"Shahab Yunus" , "Tomas Bartalos"
, "user @spark/'user @spark'/spark
users/user@spark"
日期:
2019/01/26 05:42
主题:
Re: Re: How to get all input tables of a SPARK SQL 'select' statement
Hi,
You don't have to run the SQL statement. You can parse it, that will be
the logical parsing.
val logicalPlan = ss.sessionState.sqlParser.parsePlan(sqlText = query)
println(logicalPlan.prettyJson)
[ {
"class" : "org.apache.spark.sql.catalyst.plans.logical.Project",
"num-children" : 1,
"projectList" : [ [ {
"class" : "org.apache.spark.sql.catalyst.analysis.UnresolvedStar",
"num-children" : 0
} ] ],
"child" : 0
}, {
"class" : "org.apache.spark.sql.catalyst.analysis.UnresolvedRelation",
"num-children" : 0,
"tableIdentifier" : {
"product-class" : "org.apache.spark.sql.catalyst.TableIdentifier",
"table" : "abc"
}
} ]
On Fri, Jan 25, 2019 at 6:07 AM wrote:
Hi, All,
I tried the suggested approach and it works, but it requires to 'run' the
SQL statement first.
I just want to parse the SQL statement without running it, so I can do
this in my laptop without connecting to our production environment.
I tried to write a tool which uses the SqlBase.g4 bundled with SPARK SQL
to extract names of the input tables and it works as expected.
But I have a question:
The parser generated by SqlBase.g4 only accepts 'select' statement with
all keywords such as 'SELECT', 'FROM' and table names capitalized
e.g. it accepts 'SELECT * FROM FOO', but it doesn't accept 'select * from
foo'.
But I can run the spark.sql("select * from foo") in the spark2-shell
without any problem.
Is there another 'layer' in the SPARK SQL to capitalize those 'tokens'
before invoking the parser?
If so, why not just modify the SqlBase.g4 to accept lower cases keywords?
Thanks
Boying
发件人:
"Shahab Yunus"
收件人:
"Ramandeep Singh Nanda"
抄送:
"Tomas Bartalos" , l...@china-inv.cn, "user
@spark/'user @spark'/spark users/user@spark"
日期:
2019/01/24 06:45
主题:
Re: How to get all input tables of a SPARK SQL 'select' statement
Could be a tangential idea but might help: Why not use queryExecution and
logicalPlan objects that are available when you execute a query using
SparkSession and get a DataFrame back? The Json representation contains
almost all the info that you need and you don't need to go to Hive to get
this info.
Some details here:
https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution
On Wed, Jan 23, 2019 at 5:35 PM Ramandeep Singh Nanda <
ramannan...@gmail.com> wrote:
Explain extended or explain would list the plan along with the tables. Not
aware of any statements that explicitly list dependencies or tables
directly.
Regards,
Ramandeep Singh
On Wed, Jan 23, 2019, 11:05 Tomas Bartalos napísal(a):
Hi, All,
We need to get all input tables of several SPARK SQL 'select' statements.
We can get those information of Hive SQL statements by using 'explain
dependency select'.
But I can't find the equivalent command for SPARK SQL.
Does anyone know how to get this information of a SPARK SQL 'select'
statement?
Thanks
Boying
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If you are not the intended recipient, please do not read, save, forward,
disclose or copy the contents of this email or open any file attached to
this email. We will be grateful if you could advise the sender immediately
by replying this email, and delete this email and any attachment or links
to this email completely and immediately from your computer system.
本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外
披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件
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This email message may contain confidential and/or privileged information.
If you are not the intended recipient, please do not read, save, forward,
disclose or copy the contents of this email or open any file attached to
this email. We will be grateful if you could advise the sender immediately
by replying this email, and delete this email and any attachment or links
to this email completely and immediately from your computer system.
--
Regards,
Ramandeep Singh
http://orastack.com
+13474792296
ramannan...@gmail.com
本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外
披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件
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This email message may contain confidential and/or privileged information.
If you are not the int
Re: Re: How to get all input tables of a SPARK SQL 'select' statement
Hi,
You don't have to run the SQL statement. You can parse it, that will be the
logical parsing.
val logicalPlan = ss.sessionState.sqlParser.parsePlan(sqlText = query)
println(logicalPlan.prettyJson)
[ {
"class" : "org.apache.spark.sql.catalyst.plans.logical.Project",
"num-children" : 1,
"projectList" : [ [ {
"class" : "org.apache.spark.sql.catalyst.analysis.UnresolvedStar",
"num-children" : 0
} ] ],
"child" : 0
}, {
"class" : "org.apache.spark.sql.catalyst.analysis.UnresolvedRelation",
"num-children" : 0,
"tableIdentifier" : {
"product-class" : "org.apache.spark.sql.catalyst.TableIdentifier",
"table" : "abc"
}
} ]
On Fri, Jan 25, 2019 at 6:07 AM wrote:
> Hi, All,
>
> I tried the suggested approach and it works, but it requires to 'run' the
> SQL statement first.
>
> I just want to parse the SQL statement without running it, so I can do
> this in my laptop without connecting to our production environment.
>
> I tried to write a tool which uses the SqlBase.g4 bundled with SPARK SQL
> to extract names of the input tables and it works as expected.
>
> But I have a question:
>
> The parser generated by SqlBase.g4 only accepts 'select' statement with
> all keywords such as 'SELECT', 'FROM' and table names capitalized
> e.g. it accepts 'SELECT * FROM FOO', but it doesn't accept 'select * from
> foo'.
>
> But I can run the spark.sql("select * from foo") in the spark2-shell
> without any problem.
>
> Is there another 'layer' in the SPARK SQL to capitalize those 'tokens'
> before invoking the parser?
>
> If so, why not just modify the SqlBase.g4 to accept lower cases keywords?
>
> Thanks
>
> Boying
>
>
>
> 发件人: "Shahab Yunus"
> 收件人: "Ramandeep Singh Nanda"
> 抄送: "Tomas Bartalos" , l...@china-inv.cn, "user
> @spark/'user @spark'/spark users/user@spark"
> 日期: 2019/01/24 06:45
> 主题: Re: How to get all input tables of a SPARK SQL 'select' statement
> --
>
>
>
> Could be a tangential idea but might help: Why not use queryExecution and
> logicalPlan objects that are available when you execute a query using
> SparkSession and get a DataFrame back? The Json representation contains
> almost all the info that you need and you don't need to go to Hive to get
> this info.
>
> Some details here:
> *https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution*
> <https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution>
>
> On Wed, Jan 23, 2019 at 5:35 PM Ramandeep Singh Nanda <
> *ramannan...@gmail.com* > wrote:
> Explain extended or explain would list the plan along with the tables. Not
> aware of any statements that explicitly list dependencies or tables
> directly.
>
> Regards,
> Ramandeep Singh
>
> On Wed, Jan 23, 2019, 11:05 Tomas Bartalos <*tomas.barta...@gmail.com*
> wrote:
> This might help:
> show tables;
>
> st 23. 1. 2019 o 10:43 <*l...@china-inv.cn* >
> napísal(a):
> Hi, All,
>
> We need to get all input tables of several SPARK SQL 'select' statements.
>
> We can get those information of Hive SQL statements by using 'explain
> dependency select'.
> But I can't find the equivalent command for SPARK SQL.
>
> Does anyone know how to get this information of a SPARK SQL 'select'
> statement?
>
> Thanks
>
> Boying
>
>
>
> --
>
>
>
> 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。
>
>
> This email message may contain confidential and/or privileged information.
> If you are not the intended recipient, please do not read, save, forward,
> disclose or copy the contents of this email or open any file attached to
> this email. We will be grateful if you could advise the sender immediately
> by replying this email, and delete this email and any attachment or links
> to this email completely and immediately from your computer system.
>
>
> --
>
>
>
>
> --
>
>
>
> 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。
>
>
>
> This email message may contain confidential and/or privileged information.
> If you are not the intended recipient, please do not read, save, forward,
> disclose or copy the contents of this email or open any file attached to
> this email. We will be grateful if you could advise the sender immediately
> by replying this email, and delete this email and any attachment or links
> to this email completely and immediately from your computer system.
>
>
> --
>
>
--
Regards,
Ramandeep Singh
http://orastack.com
+13474792296
ramannan...@gmail.com
答复: Re: How to get all input tables of a SPARK SQL 'select' statement
Hi, All,
I tried the suggested approach and it works, but it requires to 'run' the
SQL statement first.
I just want to parse the SQL statement without running it, so I can do
this in my laptop without connecting to our production environment.
I tried to write a tool which uses the SqlBase.g4 bundled with SPARK SQL
to extract names of the input tables and it works as expected.
But I have a question:
The parser generated by SqlBase.g4 only accepts 'select' statement with
all keywords such as 'SELECT', 'FROM' and table names capitalized
e.g. it accepts 'SELECT * FROM FOO', but it doesn't accept 'select * from
foo'.
But I can run the spark.sql("select * from foo") in the spark2-shell
without any problem.
Is there another 'layer' in the SPARK SQL to capitalize those 'tokens'
before invoking the parser?
If so, why not just modify the SqlBase.g4 to accept lower cases keywords?
Thanks
Boying
发件人:
"Shahab Yunus"
收件人:
"Ramandeep Singh Nanda"
抄送:
"Tomas Bartalos" , l...@china-inv.cn, "user
@spark/'user @spark'/spark users/user@spark"
日期:
2019/01/24 06:45
主题:
Re: How to get all input tables of a SPARK SQL 'select' statement
Could be a tangential idea but might help: Why not use queryExecution and
logicalPlan objects that are available when you execute a query using
SparkSession and get a DataFrame back? The Json representation contains
almost all the info that you need and you don't need to go to Hive to get
this info.
Some details here:
https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution
On Wed, Jan 23, 2019 at 5:35 PM Ramandeep Singh Nanda <
ramannan...@gmail.com> wrote:
Explain extended or explain would list the plan along with the tables. Not
aware of any statements that explicitly list dependencies or tables
directly.
Regards,
Ramandeep Singh
On Wed, Jan 23, 2019, 11:05 Tomas Bartalos napísal(a):
Hi, All,
We need to get all input tables of several SPARK SQL 'select' statements.
We can get those information of Hive SQL statements by using 'explain
dependency select'.
But I can't find the equivalent command for SPARK SQL.
Does anyone know how to get this information of a SPARK SQL 'select'
statement?
Thanks
Boying
本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外
披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件
人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。
This email message may contain confidential and/or privileged information.
If you are not the intended recipient, please do not read, save, forward,
disclose or copy the contents of this email or open any file attached to
this email. We will be grateful if you could advise the sender immediately
by replying this email, and delete this email and any attachment or links
to this email completely and immediately from your computer system.
本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外
披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件
人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。
This email message may contain confidential and/or privileged information.
If you are not the intended recipient, please do not read, save, forward,
disclose or copy the contents of this email or open any file attached to
this email. We will be grateful if you could advise the sender immediately
by replying this email, and delete this email and any attachment or links
to this email completely and immediately from your computer system.
答复: Re: How to get all input tables of a SPARK SQL 'select' statement
Thanks all for your help. I'll try your suggestions. Thanks again :) 发件人: "Shahab Yunus" 收件人: "Ramandeep Singh Nanda" 抄送: "Tomas Bartalos" , l...@china-inv.cn, "user @spark/'user @spark'/spark users/user@spark" 日期: 2019/01/24 06:45 主题: Re: How to get all input tables of a SPARK SQL 'select' statement Could be a tangential idea but might help: Why not use queryExecution and logicalPlan objects that are available when you execute a query using SparkSession and get a DataFrame back? The Json representation contains almost all the info that you need and you don't need to go to Hive to get this info. Some details here: https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution On Wed, Jan 23, 2019 at 5:35 PM Ramandeep Singh Nanda < ramannan...@gmail.com> wrote: Explain extended or explain would list the plan along with the tables. Not aware of any statements that explicitly list dependencies or tables directly. Regards, Ramandeep Singh On Wed, Jan 23, 2019, 11:05 Tomas Bartalos napísal(a): Hi, All, We need to get all input tables of several SPARK SQL 'select' statements. We can get those information of Hive SQL statements by using 'explain dependency select'. But I can't find the equivalent command for SPARK SQL. Does anyone know how to get this information of a SPARK SQL 'select' statement? Thanks Boying 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外 披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件 人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。 This email message may contain confidential and/or privileged information. If you are not the intended recipient, please do not read, save, forward, disclose or copy the contents of this email or open any file attached to this email. We will be grateful if you could advise the sender immediately by replying this email, and delete this email and any attachment or links to this email completely and immediately from your computer system. 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外 披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件 人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。 This email message may contain confidential and/or privileged information. If you are not the intended recipient, please do not read, save, forward, disclose or copy the contents of this email or open any file attached to this email. We will be grateful if you could advise the sender immediately by replying this email, and delete this email and any attachment or links to this email completely and immediately from your computer system.
Re: How to get all input tables of a SPARK SQL 'select' statement
Could be a tangential idea but might help: Why not use queryExecution and logicalPlan objects that are available when you execute a query using SparkSession and get a DataFrame back? The Json representation contains almost all the info that you need and you don't need to go to Hive to get this info. Some details here: https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-Dataset.html#queryExecution On Wed, Jan 23, 2019 at 5:35 PM Ramandeep Singh Nanda wrote: > Explain extended or explain would list the plan along with the tables. Not > aware of any statements that explicitly list dependencies or tables > directly. > > Regards, > Ramandeep Singh > > On Wed, Jan 23, 2019, 11:05 Tomas Bartalos wrote: > >> This might help: >> >> show tables; >> >> st 23. 1. 2019 o 10:43 napísal(a): >> >>> Hi, All, >>> >>> We need to get all input tables of several SPARK SQL 'select' statements. >>> >>> We can get those information of Hive SQL statements by using 'explain >>> dependency select'. >>> But I can't find the equivalent command for SPARK SQL. >>> >>> Does anyone know how to get this information of a SPARK SQL 'select' >>> statement? >>> >>> Thanks >>> >>> Boying >>> >>> >>> >>> -- >>> >>> >>> >>> 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。 >>> >>> >>> >>> This email message may contain confidential and/or privileged >>> information. If you are not the intended recipient, please do not read, >>> save, forward, disclose or copy the contents of this email or open any file >>> attached to this email. We will be grateful if you could advise the sender >>> immediately by replying this email, and delete this email and any >>> attachment or links to this email completely and immediately from your >>> computer system. >>> >>> >>> -- >>> >>>
Re: How to get all input tables of a SPARK SQL 'select' statement
Explain extended or explain would list the plan along with the tables. Not aware of any statements that explicitly list dependencies or tables directly. Regards, Ramandeep Singh On Wed, Jan 23, 2019, 11:05 Tomas Bartalos This might help: > > show tables; > > st 23. 1. 2019 o 10:43 napísal(a): > >> Hi, All, >> >> We need to get all input tables of several SPARK SQL 'select' statements. >> >> We can get those information of Hive SQL statements by using 'explain >> dependency select'. >> But I can't find the equivalent command for SPARK SQL. >> >> Does anyone know how to get this information of a SPARK SQL 'select' >> statement? >> >> Thanks >> >> Boying >> >> >> >> -- >> >> >> >> 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。 >> >> >> >> This email message may contain confidential and/or privileged >> information. If you are not the intended recipient, please do not read, >> save, forward, disclose or copy the contents of this email or open any file >> attached to this email. We will be grateful if you could advise the sender >> immediately by replying this email, and delete this email and any >> attachment or links to this email completely and immediately from your >> computer system. >> >> >> -- >> >>
Re: How to get all input tables of a SPARK SQL 'select' statement
This might help: show tables; st 23. 1. 2019 o 10:43 napísal(a): > Hi, All, > > We need to get all input tables of several SPARK SQL 'select' statements. > > We can get those information of Hive SQL statements by using 'explain > dependency select'. > But I can't find the equivalent command for SPARK SQL. > > Does anyone know how to get this information of a SPARK SQL 'select' > statement? > > Thanks > > Boying > > > > -- > > > > 本邮件内容包含保密信息。如阁下并非拟发送的收件人，请您不要阅读、保存、对外披露或复制本邮件的任何内容，或者打开本邮件的任何附件。请即回复邮件告知发件人，并立刻将该邮件及其附件从您的电脑系统中全部删除，不胜感激。 > > > > This email message may contain confidential and/or privileged information. > If you are not the intended recipient, please do not read, save, forward, > disclose or copy the contents of this email or open any file attached to > this email. We will be grateful if you could advise the sender immediately > by replying this email, and delete this email and any attachment or links > to this email completely and immediately from your computer system. > > > -- > >
