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| author | Davies Liu <davies@databricks.com> | 2015-08-25 14:55:34 -0700 |
|---|---|---|
| committer | Yin Huai <yhuai@databricks.com> | 2015-08-25 14:55:45 -0700 |
| commit | 8925896b1eb0a13d723d38fb263d3bec0a01ec10 (patch) | |
| tree | 035d0519c19c4d36aa9d4a37cf48f4c5b2236bfc /yarn/pom.xml | |
| parent | 6f05b7aebd66a00e2556a29b35084e81ac526406 (diff) | |
| download | spark-8925896b1eb0a13d723d38fb263d3bec0a01ec10.tar.gz spark-8925896b1eb0a13d723d38fb263d3bec0a01ec10.tar.bz2 spark-8925896b1eb0a13d723d38fb263d3bec0a01ec10.zip | |
[SPARK-10245] [SQL] Fix decimal literals with precision < scale
In BigDecimal or java.math.BigDecimal, the precision could be smaller than scale, for example, BigDecimal("0.001") has precision = 1 and scale = 3. But DecimalType require that the precision should be larger than scale, so we should use the maximum of precision and scale when inferring the schema from decimal literal.
Author: Davies Liu <davies@databricks.com>
Closes #8428 from davies/smaller_decimal.
(cherry picked from commit ec89bd840a6862751999d612f586a962cae63f6d)
Signed-off-by: Yin Huai <yhuai@databricks.com>
Diffstat (limited to 'yarn/pom.xml')
0 files changed, 0 insertions, 0 deletions