Github user davies commented on the pull request:
https://github.com/apache/spark/pull/10944#issuecomment-175895315
Here is the generated code for `sqlContext.range(values).filter("(id & 1) =
1").count()`
```
/* 001 */
/* 002 */ public Object generate(Object[] references) {
/* 003 */ return new GeneratedIterator(references);
/* 004 */ }
/* 005 */
/* 006 */ class GeneratedIterator extends
org.apache.spark.sql.execution.BufferedRowIterator {
/* 007 */
/* 008 */ private Object[] references;
/* 009 */ private boolean TungstenAggregate_initAgg0;
/* 010 */ private boolean TungstenAggregate_bufIsNull1;
/* 011 */ private long TungstenAggregate_bufValue2;
/* 012 */ private boolean Range_initRange6;
/* 013 */ private long Range_partitionEnd7;
/* 014 */ private long Range_number8;
/* 015 */ private boolean Range_overflow9;
/* 016 */ private UnsafeRow TungstenAggregate_result29;
/* 017 */ private
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder
TungstenAggregate_holder30;
/* 018 */ private
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter
TungstenAggregate_rowWriter31;
/* 019 */
/* 020 */ private void initRange(int idx) {
/* 021 */ java.math.BigInteger index =
java.math.BigInteger.valueOf(idx);
/* 022 */ java.math.BigInteger numSlice =
java.math.BigInteger.valueOf(1L);
/* 023 */ java.math.BigInteger numElement =
java.math.BigInteger.valueOf(209715200L);
/* 024 */ java.math.BigInteger step = java.math.BigInteger.valueOf(1L);
/* 025 */ java.math.BigInteger start = java.math.BigInteger.valueOf(0L);
/* 026 */
/* 027 */ java.math.BigInteger st =
index.multiply(numElement).divide(numSlice).multiply(step).add(start);
/* 028 */ if
(st.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 029 */ Range_number8 = Long.MAX_VALUE;
/* 030 */ } else if
(st.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 031 */ Range_number8 = Long.MIN_VALUE;
/* 032 */ } else {
/* 033 */ Range_number8 = st.longValue();
/* 034 */ }
/* 035 */
/* 036 */ java.math.BigInteger end =
index.add(java.math.BigInteger.ONE).multiply(numElement).divide(numSlice)
/* 037 */ .multiply(step).add(start);
/* 038 */ if
(end.compareTo(java.math.BigInteger.valueOf(Long.MAX_VALUE)) > 0) {
/* 039 */ Range_partitionEnd7 = Long.MAX_VALUE;
/* 040 */ } else if
(end.compareTo(java.math.BigInteger.valueOf(Long.MIN_VALUE)) < 0) {
/* 041 */ Range_partitionEnd7 = Long.MIN_VALUE;
/* 042 */ } else {
/* 043 */ Range_partitionEnd7 = end.longValue();
/* 044 */ }
/* 045 */ }
/* 046 */
/* 047 */
/* 048 */ private void TungstenAggregate_doAgg5() {
/* 049 */ // initialize aggregation buffer
/* 050 */ /* 0 */
/* 051 */
/* 052 */ TungstenAggregate_bufIsNull1 = false;
/* 053 */ TungstenAggregate_bufValue2 = 0L;
/* 054 */
/* 055 */
/* 056 */
/* 057 */ // initialize Range
/* 058 */ if (!Range_initRange6) {
/* 059 */ Range_initRange6 = true;
/* 060 */ if (input.hasNext()) {
/* 061 */ initRange(((InternalRow) input.next()).getInt(0));
/* 062 */ } else {
/* 063 */ return;
/* 064 */ }
/* 065 */ }
/* 066 */
/* 067 */ while (!Range_overflow9 && Range_number8 <
Range_partitionEnd7) {
/* 068 */ long Range_value10 = Range_number8;
/* 069 */ Range_number8 += 1L;
/* 070 */ if (Range_number8 < Range_value10 ^ 1L < 0) {
/* 071 */ Range_overflow9 = true;
/* 072 */ }
/* 073 */
/* 074 */ /* ((input[0, bigint] & 1) = 1) */
/* 075 */ /* (input[0, bigint] & 1) */
/* 076 */ /* input[0, bigint] */
/* 077 */
/* 078 */ /* 1 */
/* 079 */
/* 080 */ long Filter_value14 = -1L;
/* 081 */ Filter_value14 = Range_value10 & 1L;
/* 082 */ /* 1 */
/* 083 */
/* 084 */ boolean Filter_value12 = false;
/* 085 */ Filter_value12 = Filter_value14 == 1L;
/* 086 */ if (!false && Filter_value12) {
/* 087 */
/* 088 */
/* 089 */
/* 090 */
/* 091 */ // do aggregate and update aggregation buffer
/* 092 */
/* 093 */ /* (input[0, bigint] + 1) */
/* 094 */ /* input[0, bigint] */
/* 095 */
/* 096 */ /* 1 */
/* 097 */
/* 098 */ long TungstenAggregate_value22 = -1L;
/* 099 */ TungstenAggregate_value22 = TungstenAggregate_bufValue2 +
1L;
/* 100 */ TungstenAggregate_bufIsNull1 = false;
/* 101 */ TungstenAggregate_bufValue2 = TungstenAggregate_value22;
/* 102 */
/* 103 */
/* 104 */
/* 105 */ }
/* 106 */
/* 107 */ }
/* 108 */
/* 109 */ }
/* 110 */
/* 111 */
/* 112 */ public GeneratedIterator(Object[] references) {
/* 113 */ this.references = references;
/* 114 */ TungstenAggregate_initAgg0 = false;
/* 115 */
/* 116 */
/* 117 */ Range_initRange6 = false;
/* 118 */ Range_partitionEnd7 = 0L;
/* 119 */ Range_number8 = 0L;
/* 120 */ Range_overflow9 = false;
/* 121 */ TungstenAggregate_result29 = new UnsafeRow(1);
/* 122 */ this.TungstenAggregate_holder30 = new
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(TungstenAggregate_result29,
0);
/* 123 */ this.TungstenAggregate_rowWriter31 = new
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(TungstenAggregate_holder30,
1);
/* 124 */ }
/* 125 */
/* 126 */ protected void processNext() throws java.io.IOException {
/* 127 */
/* 128 */ if (!TungstenAggregate_initAgg0) {
/* 129 */ TungstenAggregate_initAgg0 = true;
/* 130 */ TungstenAggregate_doAgg5();
/* 131 */
/* 132 */ // output the result
/* 133 */
/* 134 */
/* 135 */
/* 136 */ TungstenAggregate_rowWriter31.zeroOutNullBytes();
/* 137 */
/* 138 */ /* input[0, bigint] */
/* 139 */
/* 140 */ if (TungstenAggregate_bufIsNull1) {
/* 141 */ TungstenAggregate_rowWriter31.setNullAt(0);
/* 142 */ } else {
/* 143 */ TungstenAggregate_rowWriter31.write(0,
TungstenAggregate_bufValue2);
/* 144 */ }
/* 145 */ currentRow = TungstenAggregate_result29;
/* 146 */ return;
/* 147 */
/* 148 */ }
/* 149 */
/* 150 */ }
/* 151 */ }
/* 152 */
```
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