[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/14828 @hvanhovell Sure, I am fine as long as you are aware of it. The data types of literals and constants are not well documented. This [link](http://www.ibm.com/support/knowledgecenter/SSEPGG_9.7.0/com.ibm.db2.luw.sql.ref.doc/doc/r731.html) is an example of DB2 LUW. : ) --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14828 @gatorsmile we tried that in Spark 2.0. But it turns out that this is quite confusing to an end-user, and that this is problematic in case of testing (due to small numeric differences). When a user specifies a value it is (to me at least) exact, by converting to a floating point literal you will loose the exact representation. You can alway safely (auto) cast to a double. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/14828 `10.00` is an exact numeric value. `10.0e10` is an approximate numeric value, or a floating point number. That is the major reason why they should have different data types. For approximate numeric value, the data types in SQL have FLOAT, REAL and DOUBLE. DECIMAL is part of Exact numeric data types, including INTEGER, SMALLINT and NUMERIC. Let me give some references. For example, in Informix, we have a [floating-point decimal literals](https://www.ibm.com/support/knowledgecenter/en/SSGU8G_12.1.0/com.ibm.sqls.doc/ids_sqs_1605.htm) and [fixed-point decimal literals ](https://www.ibm.com/support/knowledgecenter/en/SSGU8G_12.1.0/com.ibm.sqls.doc/ids_sqs_1606.htm). Will try to find more references. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/14828 I tried it in DB2. It sounds like the original behavior is correct. Let me do more research ``` db2 => SELECT 3.14, -3.14, 3.14e8, 3.14e-8, -3.14e8, -3.14e-8, 3.14e+8, 3.14E8, 3.14E-8 from sysibm.sysdummy1 1 2 345 678 9 - - 3.14 -3.14 +3.14E+008 +3.14E-008 -3.14E+008 -3.14E-008 +3.14E+008 +3.14E+008 +3.14E-008 1 record(s) selected. db2 => describe SELECT 3.14, -3.14, 3.14e8, 3.14e-8, -3.14e8, -3.14e-8, 3.14e+8, 3.14E8, 3.14E-8 from sysibm.sysdummy1 Column Information Number of columns: 9 SQL type Type length Column name Name length --- -- --- 484 DECIMAL3, 2 1 1 484 DECIMAL3, 2 2 1 480 DOUBLE8 3 1 480 DOUBLE8 4 1 480 DOUBLE8 5 1 480 DOUBLE8 6 1 480 DOUBLE8 7 1 480 DOUBLE8 8 1 480 DOUBLE8 9 1 ``` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14828 LGTM - merging in master. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14828 @gatorsmile does this LGTY? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/14828 retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
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[GitHub] spark issue #14828: [SPARK-17258][SQL] Parse scientific decimal literals as ...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14828 Note that this will probably fail Hive tests. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
