[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 I looked into this though, I got a little luck from this fix. So, I'll close for now. Thanks! --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15928 What do you mean? The improvement was small? --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 @rxin yea, I got x1.3-1.4 performance gains in this pr. --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 @hvanhovell @rxin Could you assign some committers to review this? Thanks! --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 @hvanhovell Could you have time to review this? --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 @hvanhovell Could you check this? --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/15928 Could you please put a listing of the generated code? --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15928
codegen for `UDF`:
```
== Subtree 1 / 1 ==
*Project [HiveSimpleUDF#org.apache.hadoop.hive.ql.udf.UDFToDouble(id#1012L)
AS f(id)#1017]
+- *Range (0, 3, step=1, splits=Some(1))
Generated code:
/* 001 */ public Object generate(Object[] references) {
/* 002 */ return new GeneratedIterator(references);
/* 003 */ }
/* 004 */
/* 005 */ final class GeneratedIterator extends
org.apache.spark.sql.execution.BufferedRowIterator {
/* 006 */ private Object[] references;
/* 007 */ private scala.collection.Iterator[] inputs;
/* 008 */ private org.apache.spark.sql.execution.metric.SQLMetric
range_numOutputRows;
/* 009 */ private boolean range_initRange;
/* 010 */ private long range_partitionEnd;
/* 011 */ private long range_number;
/* 012 */ private boolean range_overflow;
/* 013 */ private scala.collection.Iterator range_input;
/* 014 */ private UnsafeRow range_result;
/* 015 */ private
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder range_holder;
/* 016 */ private
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter
range_rowWriter;
/* 017 */ private org.apache.spark.sql.hive.HiveSimpleUDF project_hiveUDF;
/* 018 */ private scala.Function1 project_converter;
/* 019 */ private scala.Function1 project_catalystConverter;
/* 020 */ private UnsafeRow project_result1;
/* 021 */ private
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder project_holder;
/* 022 */ private
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter
project_rowWriter;
/* 023 */
/* 024 */ public GeneratedIterator(Object[] references) {
/* 025 */ this.references = references;
/* 026 */ }
/* 027 */
/* 028 */ public void init(int index, scala.collection.Iterator[] inputs)
{
/* 029 */ partitionIndex = index;
/* 030 */ this.inputs = inputs;
/* 031 */ this.range_numOutputRows =
(org.apache.spark.sql.execution.metric.SQLMetric) references[0];
/* 032 */ range_initRange = false;
/* 033 */ range_partitionEnd = 0L;
/* 034 */ range_number = 0L;
/* 035 */ range_overflow = false;
/* 036 */ range_input = inputs[0];
/* 037 */ range_result = new UnsafeRow(1);
/* 038 */ this.range_holder = new
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(range_result, 0);
/* 039 */ this.range_rowWriter = new
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(range_holder,
1);
/* 040 */ this.project_hiveUDF =
(org.apache.spark.sql.hive.HiveSimpleUDF) references[1];
/* 041 */ this.project_converter = (scala.Function1)
project_hiveUDF.getWrapper(0);
/* 042 */ this.project_catalystConverter =
(scala.Function1)project_hiveUDF.getUnwrapper();
/* 043 */ project_result1 = new UnsafeRow(1);
/* 044 */ this.project_holder = new
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(project_result1,
0);
/* 045 */ this.project_rowWriter = new
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(project_holder,
1);
/* 046 */
/* 047 */ }
/* 048 */
/* 049 */ private void initRange(int idx) {
/* 050 */ java.math.BigInteger index =
java.math.BigInteger.valueOf(idx);
/* 051 */ java.math.BigInteger numSlice =
java.math.BigInteger.valueOf(1L);
/* 052 */ java.math.BigInteger numElement =
java.math.BigInteger.valueOf(3L);
/* 053 */ java.math.BigInteger step = java.math.BigInteger.valueOf(1L);
/* 054 */ java.math.BigInteger start = java.math.BigInteger.valueOf(0L);
/* 055 */
/* 056 */ java.math.BigInteger st =
index.multiply(numElement).divide(numSlice).multiply(step).add(start);
/* 057 */ if
(st.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 058 */ range_number = Long.MAX_VALUE;
/* 059 */ } else if
(st.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 060 */ range_number = Long.MIN_VALUE;
/* 061 */ } else {
/* 062 */ range_number = st.longValue();
/* 063 */ }
/* 064 */
/* 065 */ java.math.BigInteger end =
index.add(java.math.BigInteger.ONE).multiply(numElement).divide(numSlice)
/* 066 */ .multiply(step).add(start);
/* 067 */ if
(end.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 068 */ range_partitionEnd = Long.MAX_VALUE;
/* 069 */ } else if
(end.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 070 */ range_partitionEnd = Long.MIN_VALUE;
/* 071 */ } else {
/* 072 */ range_partitionEnd = end.longValue();
/* 073 */ }
/* 074 */
/* 075 */ range_numOutputRows.add((range_partitio
[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/15928 The generated code looks good. --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 @hvanhovell ping --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15928 We will probably visit this after 2.1 is cut. --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user maropu commented on the issue: https://github.com/apache/spark/pull/15928 okay, thanks --- 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 #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
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[GitHub] spark issue #15928: [SPARK-18478][SQL] Support codegen'd Hive UDFs
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/15928 Test PASSed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/68842/ Test PASSed. --- 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
