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Github user SparkQA commented on the issue:
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Github user SparkQA commented on the issue:
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Github user clockfly commented on a diff in the pull request:
https://github.com/apache/spark/pull/14990#discussion_r77958425
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
---
@@ -626,189 +626,25 @@ abstract class TreeNode[BaseType <:
Tr
Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/15012
@cloud-fan @gatorsmile
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GitHub user wzhfy opened a pull request:
https://github.com/apache/spark/pull/15012
No total size for data source tables in InMemoryCatalog
## What changes were proposed in this pull request?
For data source table in InMemoryCatalog, it's
`catalogTable.storage.locationUri` is No
Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/15006
@clockfly I also spent some time looking into this :-) I initially tried to
handle this at lexer level and found it difficult distinguish between the
number literals and table names. In particu
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15006
This is a design decision. Either is fine to me. : )
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/12601
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15006
uh... We use the Hive APIs. Basically, what we did is like passing a quoted
identifier to Hive. Thus, it is OK to be more flexible.
You are also right. I did not run Spark SQL after your
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/12601
ok to test
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77956925
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -305,6 +305,19 @@ class HiveDDLSuite
}
}
Github user clockfly commented on the issue:
https://github.com/apache/spark/pull/15006
Besides, Spark 1.6, Spark 2.0, supports syntax like `select * from
123_LIST`, so maybe we should keep it compatible so that we can also support
syntax like `select * from default.123_LIST`
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Github user clockfly commented on the issue:
https://github.com/apache/spark/pull/15006
@gatorsmile
We are not "more flexible than Hive". We are as flexible as Hive. With this
PR, we only treats a string as an IDENTIFIER if there is no ambiguity that it
can not be interpreted
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14980
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77956433
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
---
@@ -869,6 +869,14 @@ class DDLSuite extends QueryTest with Sha
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77956260
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
---
@@ -881,23 +889,30 @@ class DDLSuite extends QueryTest with
S
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15011
I checked how Hive works.
```
hive (db2)> use default;
OK
Time taken: 0.024 seconds
hive (default)> create database db2;
OK
Time taken: 0.02 seconds
hive (default)>
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77956188
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala
---
@@ -881,23 +889,30 @@ class DDLSuite extends QueryTest with
S
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77955991
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
@@ -693,14 +705,22 @@ object DDLUtils {
catalog: SessionC
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77956043
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
@@ -383,7 +385,14 @@ case class AlterTableRenamePartitionCommand(
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/15004#discussion_r77955887
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
@@ -693,14 +705,22 @@ object DDLUtils {
catalog: SessionC
Github user techaddict closed the pull request at:
https://github.com/apache/spark/pull/13334
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14990#discussion_r77955319
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala
---
@@ -261,4 +283,146 @@ class TreeNodeSuite extends SparkF
Github user SparkQA commented on the issue:
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Github user adrian-wang commented on the issue:
https://github.com/apache/spark/pull/15011
@jameszhouyi @chenghao-intel
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GitHub user adrian-wang opened a pull request:
https://github.com/apache/spark/pull/15011
[SPARK-17122][SQL]support drop current database
## What changes were proposed in this pull request?
In Spark 1.6 and earlier, we can drop the database we are using. In Spark
2.0, nativ
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15006
If users really need to use the names starting with numeric, could they use
quoted identifiers?
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14990#discussion_r77954704
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
---
@@ -626,189 +626,25 @@ abstract class TreeNode[BaseType <:
T
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15006
More tries in Hive
```
hive> create table `3M` (col3 int);
OK
Time taken: 0.06 seconds
hive> create table `3L` (col3 int);
OK
Time taken: 0.062 seconds
hive> create
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14859
BTW, I already cc the author of winutils in
https://github.com/apache/spark/pull/14859#issuecomment-243073024 :).
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