[
https://issues.apache.org/jira/browse/COMDEV-489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhengqiang Duan updated COMDEV-489:
-----------------------------------
Description:
h2. Apache ShardingSphere
Apache ShardingSphere is positioned as a Database Plus, and aims at building a
standard layer and ecosystem above heterogeneous databases. It focuses on how
to reuse existing databases and their respective upper layer, rather than
creating a new database. The goal is to minimize or eliminate the challenges
caused by underlying databases fragmentation.
{*}Page{*}:
[https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
{*}Github{*}: [https://github.com/apache/shardingsphere]
h2. Background
The ShardingSphere SQL federation engine provides support for complex SQL
statements, and it can well support cross-database join queries, subqueries,
aggregation queries and other statements. An important part of SQL federation
engine is to convert the SQL statement parsed by ShardingSphere into SqlNode,
so that Calcite can be used to implement SQL optimization and federated query.
h2. Task
This issue is to solve the MySQL exception that occurs during
SQLNodeConverterEngine conversion. The specific case list is as follows.
* select_char
* select_extract
* select_from_dual
* select_from_with_table
* select_group_by_with_having_and_window
* select_not_between_with_single_table
* select_not_in_with_single_table
* select_substring
* select_trim
* select_weight_string
* select_where_with_bit_expr_with_ampersand
* select_where_with_bit_expr_with_caret
* select_where_with_bit_expr_with_div
* select_where_with_bit_expr_with_minus_interval
* select_where_with_bit_expr_with_mod
* select_where_with_bit_expr_with_mod_sign
* select_where_with_bit_expr_with_plus_interval
* select_where_with_bit_expr_with_signed_left_shift
* select_where_with_bit_expr_with_signed_right_shift
* select_where_with_bit_expr_with_vertical_bar
* select_where_with_boolean_primary_with_comparison_subquery
* select_where_with_boolean_primary_with_is
* select_where_with_boolean_primary_with_is_not
* select_where_with_boolean_primary_with_null_safe
* select_where_with_expr_with_and_sign
* select_where_with_expr_with_is
* select_where_with_expr_with_is_not
* select_where_with_expr_with_not
* select_where_with_expr_with_not_sign
* select_where_with_expr_with_or_sign
* select_where_with_expr_with_xor
* select_where_with_predicate_with_in_subquery
* select_where_with_predicate_with_regexp
* select_where_with_predicate_with_sounds_like
* select_where_with_simple_expr_with_collate
* select_where_with_simple_expr_with_match
* select_where_with_simple_expr_with_not
* select_where_with_simple_expr_with_odbc_escape_syntax
* select_where_with_simple_expr_with_row
* select_where_with_simple_expr_with_tilde
* select_where_with_simple_expr_with_variable
* select_window_function
* select_with_assignment_operator
* select_with_assignment_operator_and_keyword
* select_with_case_expression
* select_with_collate_with_marker
* select_with_date_format_function
* select_with_exists_sub_query_with_project
* select_with_function_name
* select_with_json_value_return_type
* select_with_match_against
* select_with_regexp
* select_with_schema_name_in_column_projection
* select_with_schema_name_in_shorthand_projection
* select_with_spatial_function
* select_with_trim_expr
* select_with_trim_expr_from_expr
You need to compare the difference between actual and expected, and then
correct the logic in SQLNodeConverterEngine so that actual can be consistent
with expected.
After you make changes, remember to add case to SUPPORTED_SQL_CASE_IDS to
ensure it can be tested.
{*}Notice{*}, these issues can be a good example.
[https://github.com/apache/shardingsphere/pull/14492|https://github.com/apache/shardingsphere/pull/15331]
h2. Relevant Skills
1. Master JAVA language
2. Have a basic understanding of Antlr g4 file
3. Be familiar with MySQL and Calcite SqlNode
h2. Targets files
SQLNodeConverterEngineIT
[https://github.com/apache/shardingsphere/blob/master/test/it/optimizer/src/test/java/org/apache/shardingsphere/test/it/optimize/SQLNodeConverterEngineIT.java]
h3. Mentor
Zhengqiang Duan, PMC of Apache ShardingSphere, duanzhengqi...@apache.org
Chuxin Chen, Committer of Apache ShardingSphere,
[tuichenchu...@apache.org|mailto:tuichenchu...@apache.org]
Trista Pan, PMC of Apache ShardingSphere, panj...@apache.org
was:
h2. Apache ShardingSphere
Apache ShardingSphere is positioned as a Database Plus, and aims at building a
standard layer and ecosystem above heterogeneous databases. It focuses on how
to reuse existing databases and their respective upper layer, rather than
creating a new database. The goal is to minimize or eliminate the challenges
caused by underlying databases fragmentation.
{*}Page{*}:
[https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
{*}Github{*}: [https://github.com/apache/shardingsphere]
h2. Background
The ShardingSphere SQL federation engine provides support for complex SQL
statements, and it can well support cross-database join queries, subqueries,
aggregation queries and other statements. An important part of SQL federation
engine is to convert the SQL statement parsed by ShardingSphere into SqlNode,
so that Calcite can be used to implement SQL optimization and federated query.
h2. Task
This issue is to solve the MySQL exception that occurs during
SQLNodeConverterEngine conversion. The specific case list is as follows.
* select_char
* select_extract
* select_from_dual
* select_from_with_table
* select_group_by_with_having_and_window
* select_not_between_with_single_table
* select_not_in_with_single_table
* select_substring
* select_trim
* select_weight_string
* select_where_with_bit_expr_with_ampersand
* select_where_with_bit_expr_with_caret
* select_where_with_bit_expr_with_div
* select_where_with_bit_expr_with_minus_interval
* select_where_with_bit_expr_with_mod
* select_where_with_bit_expr_with_mod_sign
* select_where_with_bit_expr_with_plus_interval
* select_where_with_bit_expr_with_signed_left_shift
* select_where_with_bit_expr_with_signed_right_shift
* select_where_with_bit_expr_with_vertical_bar
* select_where_with_boolean_primary_with_comparison_subquery
* select_where_with_boolean_primary_with_is
* select_where_with_boolean_primary_with_is_not
* select_where_with_boolean_primary_with_null_safe
* select_where_with_expr_with_and_sign
* select_where_with_expr_with_is
* select_where_with_expr_with_is_not
* select_where_with_expr_with_not
* select_where_with_expr_with_not_sign
* select_where_with_expr_with_or_sign
* select_where_with_expr_with_xor
* select_where_with_predicate_with_in_subquery
* select_where_with_predicate_with_regexp
* select_where_with_predicate_with_sounds_like
* select_where_with_simple_expr_with_collate
* select_where_with_simple_expr_with_match
* select_where_with_simple_expr_with_not
* select_where_with_simple_expr_with_odbc_escape_syntax
* select_where_with_simple_expr_with_row
* select_where_with_simple_expr_with_tilde
* select_where_with_simple_expr_with_variable
* select_window_function
* select_with_assignment_operator
* select_with_assignment_operator_and_keyword
* select_with_case_expression
* select_with_collate_with_marker
* select_with_date_format_function
* select_with_exists_sub_query_with_project
* select_with_function_name
* select_with_json_value_return_type
* select_with_match_against
* select_with_regexp
* select_with_schema_name_in_column_projection
* select_with_schema_name_in_shorthand_projection
* select_with_spatial_function
* select_with_trim_expr
* select_with_trim_expr_from_expr
You need to compare the difference between actual and expected, and then
correct the logic in SQLNodeConverterEngine so that actual can be consistent
with expected.
After you make changes, remember to add case to SUPPORTED_SQL_CASE_IDS to
ensure it can be tested.
{*}Notice{*}, these issues can be a good example.
[https://github.com/apache/shardingsphere/pull/14492|https://github.com/apache/shardingsphere/pull/15331]
h2. Relevant Skills
1. Master JAVA language
2. Have a basic understanding of Antlr g4 file
3. Be familiar with MySQL and Calcite SqlNode
h2. Targets files
SQLNodeConverterEngineIT
[https://github.com/apache/shardingsphere/blob/master/test/it/optimizer/src/test/java/org/apache/shardingsphere/test/it/optimize/SQLNodeConverterEngineIT.java]
h3. Mentor
Zhengqiang Duan, PMC of Apache ShardingSphere, duanzhengqi...@apache.org
Chuxin Chen, Committer of Apache ShardingSphere, tuichenchu...@apache.org
> Apache ShardingSphere: Enhance SQLNodeConverterEngine to support more MySQL
> SQL statements
> ------------------------------------------------------------------------------------------
>
> Key: COMDEV-489
> URL: https://issues.apache.org/jira/browse/COMDEV-489
> Project: Community Development
> Issue Type: Improvement
> Components: GSoC/Mentoring ideas
> Reporter: Zhengqiang Duan
> Priority: Major
> Labels: Mentor, ShardingSphere, gsoc2023
>
> h2. Apache ShardingSphere
> Apache ShardingSphere is positioned as a Database Plus, and aims at building
> a standard layer and ecosystem above heterogeneous databases. It focuses on
> how to reuse existing databases and their respective upper layer, rather than
> creating a new database. The goal is to minimize or eliminate the challenges
> caused by underlying databases fragmentation.
> {*}Page{*}:
> [https://shardingsphere.apache.org|https://shardingsphere.apache.org/]
> {*}Github{*}: [https://github.com/apache/shardingsphere]
> h2. Background
> The ShardingSphere SQL federation engine provides support for complex SQL
> statements, and it can well support cross-database join queries, subqueries,
> aggregation queries and other statements. An important part of SQL federation
> engine is to convert the SQL statement parsed by ShardingSphere into SqlNode,
> so that Calcite can be used to implement SQL optimization and federated query.
> h2. Task
> This issue is to solve the MySQL exception that occurs during
> SQLNodeConverterEngine conversion. The specific case list is as follows.
> * select_char
> * select_extract
> * select_from_dual
> * select_from_with_table
> * select_group_by_with_having_and_window
> * select_not_between_with_single_table
> * select_not_in_with_single_table
> * select_substring
> * select_trim
> * select_weight_string
> * select_where_with_bit_expr_with_ampersand
> * select_where_with_bit_expr_with_caret
> * select_where_with_bit_expr_with_div
> * select_where_with_bit_expr_with_minus_interval
> * select_where_with_bit_expr_with_mod
> * select_where_with_bit_expr_with_mod_sign
> * select_where_with_bit_expr_with_plus_interval
> * select_where_with_bit_expr_with_signed_left_shift
> * select_where_with_bit_expr_with_signed_right_shift
> * select_where_with_bit_expr_with_vertical_bar
> * select_where_with_boolean_primary_with_comparison_subquery
> * select_where_with_boolean_primary_with_is
> * select_where_with_boolean_primary_with_is_not
> * select_where_with_boolean_primary_with_null_safe
> * select_where_with_expr_with_and_sign
> * select_where_with_expr_with_is
> * select_where_with_expr_with_is_not
> * select_where_with_expr_with_not
> * select_where_with_expr_with_not_sign
> * select_where_with_expr_with_or_sign
> * select_where_with_expr_with_xor
> * select_where_with_predicate_with_in_subquery
> * select_where_with_predicate_with_regexp
> * select_where_with_predicate_with_sounds_like
> * select_where_with_simple_expr_with_collate
> * select_where_with_simple_expr_with_match
> * select_where_with_simple_expr_with_not
> * select_where_with_simple_expr_with_odbc_escape_syntax
> * select_where_with_simple_expr_with_row
> * select_where_with_simple_expr_with_tilde
> * select_where_with_simple_expr_with_variable
> * select_window_function
> * select_with_assignment_operator
> * select_with_assignment_operator_and_keyword
> * select_with_case_expression
> * select_with_collate_with_marker
> * select_with_date_format_function
> * select_with_exists_sub_query_with_project
> * select_with_function_name
> * select_with_json_value_return_type
> * select_with_match_against
> * select_with_regexp
> * select_with_schema_name_in_column_projection
> * select_with_schema_name_in_shorthand_projection
> * select_with_spatial_function
> * select_with_trim_expr
> * select_with_trim_expr_from_expr
> You need to compare the difference between actual and expected, and then
> correct the logic in SQLNodeConverterEngine so that actual can be consistent
> with expected.
> After you make changes, remember to add case to SUPPORTED_SQL_CASE_IDS to
> ensure it can be tested.
>
> {*}Notice{*}, these issues can be a good example.
> [https://github.com/apache/shardingsphere/pull/14492|https://github.com/apache/shardingsphere/pull/15331]
> h2. Relevant Skills
>
> 1. Master JAVA language
> 2. Have a basic understanding of Antlr g4 file
> 3. Be familiar with MySQL and Calcite SqlNode
> h2. Targets files
>
> SQLNodeConverterEngineIT
> [https://github.com/apache/shardingsphere/blob/master/test/it/optimizer/src/test/java/org/apache/shardingsphere/test/it/optimize/SQLNodeConverterEngineIT.java]
>
> h3. Mentor
> Zhengqiang Duan, PMC of Apache ShardingSphere, duanzhengqi...@apache.org
> Chuxin Chen, Committer of Apache ShardingSphere,
> [tuichenchu...@apache.org|mailto:tuichenchu...@apache.org]
> Trista Pan, PMC of Apache ShardingSphere, panj...@apache.org
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