vkhodygo/csv-parsers-comparison

Comparisons among all Java-based CSV parsers in existence (not really)

Fork of uniVocity/csv-parsers-comparison/

Summary

Currently, we are only testing parsing performance. As the input file, we will be using the famous GeoLite2-City-Blocks-IPv4.csv, which is made available for free by Maxmind. It contains more than 3 million rows, which should be sufficient for our test. SimpleFlatMapper and Jackson are the fastest one in those runs. SFM tends to be faster in most cases apart from the 1000 rows with no quotes in java 6 and 7.

Building and Running

Univocity has a stiff initialisation price to pay that makes a lean heavily on the run under 100000 rows.

Prerequisites: Git, Apache Maven 3 and Java 1.8+. Some parser can have sensibly different resuslt depending on the java version. TieredCompilation - which is enabled by default in java 8 - seems to have mixed results accross the parsers. Jcsv for example is pretty bad under java 6, pretty good on java 7 but degrade quote a bit in java 8.

If you wish to reproduce our performance results:

$ git clone https://github.com/azazar/csv-parsers-comparison.git
$ cd csv-parsers-comparison
$ mvn package exec:java

Our test is very simple and involves just counting the number of rows read from the input file. The implementation using each parser is here.

Because I get the same result running the jmh and the original benchmark running on my machine I doubt the code is the issue.

Important

The input file is not RFC 4180 compliant. We generate a compliant version using the HugeFileGenerator class to test the parsers against a generated file with the same data, but enclosed within quotes and properly escaped.

It's important to notice that there's no such thing as a CSV standard and we do not recommend you to use parsers that follow the RFC strictly, as they will blow up in face of non-compliant inputs. The reality is: your parser must be ready to process crooked data instead of going belly up. In the end, your client is the one who tells you what you must swallow, and in many circumstances it's not up to you to decide how your data is going to be generated.

We generate a RFC compliant version to give those sensitive parsers a chance to see how they perform. Once again, we consider their usage risky.

BeanIO and GenJava have the worst performance overall.

This is the list of all parsers currently tested.

Parser	Version	Website
uniVocity-parsers' CsvParser	2.8.1	www.univocity.com
CSVeed	0.6.0	csveed.org
Apache Commons CSV	1.6	[commons.apache.org/proper/commons-csv] (http://commons.apache.org/proper/commons-csv)
OpenCSV	4.5	opencsv.sourceforge.net
SuperCSV	2.4.0	supercsv.sourceforge.net
JavaCSV	2.0	sourceforge.net/projects/javacsv
jCSV	1.4.0	code.google.com/p/jcsv
flatpack	4.0.4	flatpack.sourceforge.net
SimpleCSV	2.1	github.com/quux00/simplecsv
gj-csv	1.0	?
esperio-csv	8.1.0	www.espertech.com
way-io	2.1.0	www.objectos.com.br
beanIO	2.1.0	beanio.org
jackson-dataformat-csv	2.9.8	github.com/FasterXML/jackson-dataformat-csv
OsterMiller Utils	1.07.00	ostermiller.org/utils/CSV.html
SimpleFlatMapper CSV parser	6.4.0	github.com/arnaudroger/SimpleFlatMapper
Diergo Easy CSV Streamable		github.com/aburmeis/decs
Product Collections	1.4.5	github.com/marklister/product-collections
CSV-Simple	1.1.2	https://github.com/azazar/csv-simple
Sesseltjonna-csv	1.0.11	github.com/skjolber/sesseltjonna-csv

Benchmarks

Parser	Version	Website
uniVocity-parsers' CsvParser	1.3.0	www.univocity.com
CSVeed	0.4.0	csveed.org
Apache Commons CSV	1.0	[commons.apache.org/proper/commons-csv] (http://commons.apache.org/proper/commons-csv)
OpenCSV	2.3	opencsv.sourceforge.net
SuperCSV	2.2.0	supercsv.sourceforge.net
JavaCSV	2.0	sourceforge.net/projects/javacsv
jCSV	1.4.0	code.google.com/p/jcsv
flatpack	3.4.2	flatpack.sourceforge.net
SimpleCSV	2.0	github.com/quux00/simplecsv
gj-csv	1.0	?
esperio-csv	4.11.0	www.espertech.com
way-io	1.6.0	www.objectos.com.br
beanIO	2.1.0	beanio.org
DataPipeline's CSVReader*	2.3.5	northconcepts.com/data-pipeline/
jackson-dataformat-csv	2.4.2	github.com/FasterXML/jackson-dataformat-csv
OsterMiller Utils	1.0.6	ostermiller.org/utils/CSV.html
SimpleFlatMapper CSV parser	1.0.0rc2	github.com/arnaudroger/SimpleFlatMapper

worldcitiespop.txt

Statistics (updated 18th of March, 2019)

echo "performance" | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor;
echo "2000000" | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_min_freq;
echo "2000000" | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_max_freq
## Statistics (updated 28th of November, 2014)

Results will vary depending on your setup and hardware, here is mine: 

java -jar target/benchmarks.jar -tu us \
  -wi 10 -i 10 -f 5 \
  -p nbRows=1,10,100,1000,10000,100000,1000000,-1 \
  -rf csv -foe -p inputFile=./worldcitiespop.txt \
  -rff jmh.csv -jvmArgs="-Xmx1g -Xms1g"

Results will vary depending on your setup and hardware. For reference, here's my (very) modest hardware, an ultrabook:

• CPU: Intel(R) Core(TM) i7-3930K CPU @ 3.20GHz
• RAM: 24 GB
• Storage: 500GB RAID1 SSD
• OS: Fedora release 29 64-bit
• JDK: OpenJDK Runtime Environment (build 1.8.0_201-b09) 64-Bit Server VM
• JDK: OpenJDK Runtime Environment 18.9 (build 11.0.1+13) openjdk version "11.0.1"
• CPU: Intel i5-3337U @ 1.8 GHz
• RAM: 4 GB
• Storage: 128GB SSD drive
• OS: Arch Linux 64-bit
• JDK: 1.8.0_25 64-bit (Linux)
• JDK: 1.7.0_71 64-bit (Linux)
• JDK: 1.6.0_45 64-bit (Linux)

• Intel(R) Core(TM) i5 CPU 750 @ 2.67GHz
• Oracle Java 1.6.0_45
• Oracle Java 1.7.0_72
• Oracle Java 1.8.0_25
• 6G Ram
• Ubuntu
• HDD

Note uniVocity-parsers provides an option to select the fields you are interested in, and our parsers will execute faster by not processing values that are not selected. It makes quite a difference in performance but we removed this test as the other parsers don't have a similar feature. Excel data Note uniVocity-parsers provides an option to select the fields you are interested in, and our parsers will execute faster by not processing values that are not selected. It makes quite a difference in performance but we removed this test as the other parsers don't have a similar feature.

Processing 3,230,544 rows of non RFC 4180 compliant input. No quoted values.

Java 6 Results

No quote results

Processing 3,173,958 rows of non RFC 4180 compliant input.

the unit is us per reading the file of nbrows. The lower the better.

JDK 8

Parser	Average time	% Slower than best	Best time	Worst time
uniVocity CSV parser	1314 ms	Best time!	1308 ms	1334 ms
SimpleFlatMapper CSV parser	1352 ms	2%	1342 ms	1394 ms
Gen-Java CSV	2098 ms	59%	2090 ms	2124 ms
Jackson CSV parser	2206 ms	67%	2204 ms	2214 ms
JCSV Parser	2228 ms	69%	2227 ms	2231 ms
Java CSV Parser	2381 ms	81%	2370 ms	2411 ms
SuperCSV	2387 ms	81%	2377 ms	2414 ms
Product Collections parser	2391 ms	81%	2379 ms	2403 ms
Simple CSV parser	2437 ms	85%	2426 ms	2473 ms
Oster Miller CSV parser	2654 ms	101%	2649 ms	2663 ms
CSV-Simple	2672 ms	103%	2661 ms	2696 ms
OpenCSV	2957 ms	125%	2950 ms	2961 ms
Way IO Parser	3774 ms	187%	3767 ms	3782 ms
Apache Commons CSV	3853 ms	193%	3834 ms	3905 ms
Bean IO Parser	4567 ms	247%	4544 ms	4629 ms
Esperio CSV parser	23906 ms	1719%	23842 ms	24007 ms

JDK 11

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	20.56	28.91	109.42	959.92	9,259.31	91,718.92	904,262.33	2,862,200.83
SimpleFlatMapperParser 1.2.0	20.97	27.70	92.92	890.45	7,425.59	75,174.15	736,202.60	2,342,475.25
JCsvParser 1.4.0	22.00	34.37	162.13	1,341.85	12,723.23	127,770.35	1,246,264.46	4,522,937.51
SimpleCsvParser 2.0	22.39	36.34	177.18	1,387.69	13,706.27	167,896.96	1,641,417.61	5,221,632.46
OpenCsvParser 2.3	21.65	33.82	149.24	1,396.74	12,959.22	133,597.68	1,304,542.01	4,156,496.28
SuperCsvParser 2.2.0	22.46	35.18	169.48	1,430.02	13,860.77	165,970.79	1,606,424.38	5,256,495.20
OsterMillerParser 1.07.00	23.61	35.75	157.77	1,555.74	14,918.44	151,041.99	1,484,759.67	4,746,388.14
JavaCsvParser 2.0	31.09	41.39	176.16	1,588.15	15,130.67	152,590.81	1,504,618.33	4,806,283.53
WayIoParser 1.6.0	28.39	44.13	201.51	1,836.43	17,624.63	174,649.84	1,764,296.31	5,702,440.66
CommonsCsvParser 1.0	20.18	35.31	187.04	1,870.36	17,812.89	179,474.87	1,747,955.82	5,539,298.62
GenJavaParser 1.0	22.14	44.03	310.80	3,645.57	34,678.04	346,876.24	3,558,724.86	9,636,547.34
UnivocityParser 1.0.3	4,447.20	4,457.70	4,568.01	5,729.47	17,630.42	132,168.34	1,219,204.75	3,909,024.04

JDK 7

Parser	Average time	% Slower than best	Best time	Worst time
SimpleFlatMapper CSV parser	1375 ms	Best time!	1366 ms	1382 ms
uniVocity CSV parser	1428 ms	3%	1356 ms	1489 ms
Jackson CSV parser	2082 ms	51%	2043 ms	2132 ms
Product Collections parser	2124 ms	54%	2112 ms	2144 ms
JCSV Parser	2193 ms	59%	2188 ms	2205 ms
Java CSV Parser	2206 ms	60%	2193 ms	2220 ms
Oster Miller CSV parser	2545 ms	85%	2510 ms	2648 ms
CSV-Simple	2695 ms	96%	2679 ms	2709 ms
OpenCSV	2804 ms	103%	2782 ms	2843 ms
Simple CSV parser	2868 ms	108%	2819 ms	2983 ms
SuperCSV	2919 ms	112%	2906 ms	2959 ms
Apache Commons CSV	3596 ms	161%	3580 ms	3635 ms
Way IO Parser	3693 ms	168%	3675 ms	3707 ms
Gen-Java CSV	3813 ms	177%	3802 ms	3819 ms
Bean IO Parser	4955 ms	260%	4869 ms	5018 ms
Esperio CSV parser	22837 ms	1560%	22767 ms	22907 ms

• CSVeed was unable to process the file and threw exception with the message Illegal state transition: Parsing symbol QUOTE_SYMBOL [34] in state INSIDE_FIELD. Latency difference in % from jackson parser

JDK 6

Parser	Average time	% Slower than best	Best time	Worst time
SimpleFlatMapper CSV parser	1749 ms	Best time!	1718 ms	1790 ms
uniVocity CSV parser	1911 ms	9%	1796 ms	2031 ms
Jackson CSV parser	1983 ms	13%	1906 ms	2103 ms
OpenCSV	2611 ms	49%	2567 ms	2675 ms
JCSV Parser	2653 ms	51%	2600 ms	2707 ms
Java CSV Parser	2782 ms	59%	2706 ms	2879 ms
Data pipeline	2805 ms	60%	2688 ms	2894 ms
Simple CSV parser	3098 ms	77%	2945 ms	3421 ms
Oster Miller CSV parser	3122 ms	78%	3022 ms	3210 ms
SuperCSV	3185 ms	82%	3059 ms	3351 ms
Apache Commons CSV	3358 ms	91%	3280 ms	3445 ms
Way IO Parser	3743 ms	114%	3683 ms	3827 ms
Gen-Java CSV	7144 ms	308%	6991 ms	7278 ms

• Esperio-csv and CSVeed were unable to process the file and threw exceptions.
• Flatpack hanged so I had to remove it from the test here.
• BeanIO threw an exception I could understand and debug. Turns out it is unable to parse fields when the quote character is part of the value, e.g. value1, val"ue2, value3 .

Processing 3,173,958 rows of RFC 4180 compliant input.

Quote results

JDK 8

Parser	Average time	% Slower than best	Best time	Worst time
uniVocity CSV parser	2270 ms	Best time!	2178 ms	2352 ms
Jackson CSV parser	2416 ms	6%	2294 ms	2490 ms
SuperCSV	3116 ms	37%	2956 ms	3267 ms
JCSV Parser	3172 ms	39%	3049 ms	3325 ms
SimpleFlatMapper CSV parser	3405 ms	50%	3177 ms	3709 ms
Data pipeline	3424 ms	50%	3355 ms	3478 ms
Apache Commons CSV	3620 ms	59%	3500 ms	3769 ms
Simple CSV parser	3793 ms	67%	3635 ms	3896 ms
Java CSV Parser	3864 ms	70%	3703 ms	4046 ms
OpenCSV	4115 ms	81%	3955 ms	4532 ms
Oster Miller CSV parser	4165 ms	83%	3988 ms	4343 ms
Esperio CSV parser	5355 ms	135%	5122 ms	5591 ms
Way IO Parser	5400 ms	137%	5016 ms	5588 ms
Gen-Java CSV	8558 ms	277%	8106 ms	8844 ms
Bean IO Parser	10796 ms	375%	10504 ms	11341 ms

the unit is us per reading the file of nbrows. The lower the better.

JDK 7

Parser	Average time	% Slower than best	Best time	Worst time
uniVocity CSV parser	2352 ms	Best time!	2286 ms	2449 ms
Jackson CSV parser	2432 ms	3%	2234 ms	2627 ms
SimpleFlatMapper CSV parser	2556 ms	8%	2373 ms	2836 ms
Data pipeline	3281 ms	39%	3084 ms	3596 ms
SuperCSV	3296 ms	40%	2989 ms	3500 ms
JCSV Parser	3305 ms	40%	3145 ms	3692 ms
OpenCSV	3859 ms	64%	3671 ms	4092 ms
Java CSV Parser	3884 ms	65%	3749 ms	4139 ms
Oster Miller CSV parser	4054 ms	72%	3804 ms	4255 ms
Simple CSV parser	4246 ms	80%	4093 ms	4516 ms
Apache Commons CSV	4303 ms	82%	4197 ms	4405 ms
Way IO Parser	5095 ms	116%	4935 ms	5270 ms
Esperio CSV parser	6001 ms	155%	5760 ms	6375 ms
Gen-Java CSV	10918 ms	364%	10345 ms	11305 ms
Bean IO Parser	12839 ms	445%	11992 ms	13641 ms

JDK 6

Parser	Average time	% Slower than best	Best time	Worst time
uniVocity CSV parser	2395 ms	Best time!	2368 ms	2444 ms
SimpleFlatMapper CSV parser	2539 ms	6%	2480 ms	2582 ms
Jackson CSV parser	2809 ms	17%	2669 ms	2982 ms
Data pipeline	3197 ms	33%	3067 ms	3395 ms
JCSV Parser	3423 ms	42%	3293 ms	3678 ms
OpenCSV	3570 ms	49%	3457 ms	3847 ms
Java CSV Parser	3745 ms	56%	3541 ms	3977 ms
SuperCSV	3808 ms	58%	3638 ms	4062 ms
Oster Miller CSV parser	3944 ms	64%	3750 ms	4161 ms
Simple CSV parser	3962 ms	65%	3776 ms	4226 ms
Apache Commons CSV	4315 ms	80%	4189 ms	4448 ms
Way IO Parser	4667 ms	94%	4566 ms	4773 ms
Esperio CSV parser	5625 ms	134%	5496 ms	5778 ms
Gen-Java CSV	8977 ms	274%	8759 ms	9293 ms
Bean IO Parser	10848 ms	352%	10385 ms	11225 ms

• CSVeed was unable to process the file and threw exception with the message "Parsing symbol OTHER_SYMBOL [44] in state ESCAPING".
• Flatpack blew up the Java heap space so I had to remove it from the test here.

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	20.80	31.80	144.23	1,462.09	13,966.33	140,360.80	1,380,760.39	4,401,189.30
SimpleFlatMapperParser 1.2.0	21.08	31.96	104.00	1,027.17	12,013.12	100,785.66	977,777.05	2,647,928.02
JCsvParser 1.4.0	22.94	41.51	228.19	2,156.42	21,638.66	221,701.13	2,117,656.18	6,822,423.28
SimpleCsvParser 2.0	22.51	40.04	217.32	1,787.30	19,384.62	200,927.10	1,965,590.72	6,284,008.83
OpenCsvParser 2.3	22.75	41.31	231.37	2,020.68	18,658.59	189,861.09	1,857,790.99	5,969,062.93
SuperCsvParser 2.2.0	23.16	42.58	233.84	1,996.42	19,450.24	200,009.79	1,968,554.76	6,261,176.90
OsterMillerParser 1.07.00	23.95	41.54	212.57	1,796.83	18,045.74	183,739.90	1,801,485.56	5,831,664.22
JavaCsvParser 2.0	31.81	43.27	194.01	1,820.18	17,776.71	184,548.24	1,769,503.49	5,613,036.50
WayIoParser 1.6.0	29.39	52.39	250.10	2,522.89	23,610.58	234,847.74	2,293,163.63	7,435,385.66
CommonsCsvParser 1.0	21.12	42.51	254.67	2,558.45	24,915.98	247,869.21	2,427,771.47	7,717,016.95
GenJavaParser 1.0	22.90	51.06	388.23	4,516.87	43,293.45	439,501.07	4,696,391.12	14,800,000.00
UnivocityParser 1.0.3	4,467.26	4,476.80	4,603.88	5,994.07	20,270.97	155,576.21	1,459,677.87	4,639,997.25
Bean IO 2.1.0	24.12	61.14	501.49	5,656.26	54,608.29	587,428.25	5,652,539.16	17,933,796.24

Reliability (updated 9th of October, 2017)

Latency difference in % from jackson parser

The following parsers were unable to process the RFC 4180 compliant file correctness.csv. This test is executed using the class CorrectnessComparison.java

Java 7 Results

No quote results

The exact same errors have been reported 3 years ago when I last updated this page. Just avoid these parsers.

Conclusion

the unit is us per reading the file of nbrows. The lower the better.

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	20.24	28.21	111.92	955.18	9,493.98	94,809.19	930,487.07	2,976,824.49
SimpleFlatMapperParser 1.2.0	20.55	27.28	91.43	1,023.67	7,459.68	74,660.33	744,521.08	2,321,910.07
JCsvParser 1.4.0	21.26	28.68	105.15	1,011.24	9,524.07	94,574.76	934,419.76	2,811,022.42
SimpleCsvParser 2.0	22.04	34.95	172.58	1,412.42	16,995.40	160,371.04	1,603,714.95	4,987,105.28
OpenCsvParser 2.3	21.57	33.50	165.77	1,627.72	14,437.39	148,230.18	1,424,704.26	4,355,408.10
SuperCsvParser 2.2.0	22.53	34.14	146.19	1,641.76	15,492.30	133,140.56	1,282,506.94	3,968,221.65
OsterMillerParser 1.07.00	23.32	32.93	142.80	1,254.54	11,989.83	122,604.50	1,205,519.51	4,075,179.72
JavaCsvParser 2.0	29.17	40.69	171.89	1,583.93	15,452.34	151,460.41	1,497,675.96	4,789,507.69
WayIoParser 1.6.0	28.63	44.43	212.83	1,896.42	19,045.36	181,337.58	1,832,200.21	5,644,370.67
CommonsCsvParser 1.0	19.28	34.18	178.34	1,780.89	16,980.91	171,601.39	1,667,304.99	5,343,597.19
GenJavaParser 1.0	22.18	43.27	308.31	3,376.42	38,819.72	391,391.19	4,099,708.92	9,630,511.79
UnivocityParser 1.0.3	4,329.47	4,332.47	4,516.22	5,855.99	17,534.36	130,439.24	1,217,036.03	3,875,463.28
Currently, three parsers stand out as the fastest CSV parsers for Java:

uniVocity-parsers, SimpleFlatMapper and Jackson CSV. Keep in mind that Simpleflatmapper is a very simple implementation that does not provide any customization options. Results are affected by a simple change in the JDK version, however these three parsers are always at the top. Latency difference in % from jackson parser uniVocity-parsers, SimpleFlatMapper and Jackson CSV. Keep in mind that Simpleflatmapper is a very simple implementation that does not provide any customization options.

We will keep working to improve the performance of our parsers, and will try to update the results of this benchmark every time a new parser is added to the list.

Head on to the uniVocity-parsers github page to get access to its source code and documentation. Contributions are welcome.

Quote results

the unit is us per reading the file of nbrows. The lower the better.

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	20.47	31.27	148.96	1,453.41	13,931.26	138,685.49	1,365,335.11	4,363,888.96
SimpleFlatMapperParser 1.2.0	20.80	32.08	107.77	942.46	11,647.54	102,628.48	982,690.25	2,635,456.90
JCsvParser 1.4.0	21.80	33.19	146.64	1,360.52	13,421.54	136,428.87	1,325,533.89	4,236,211.65
SimpleCsvParser 2.0	22.73	40.94	212.33	2,203.63	20,136.39	203,944.21	2,002,961.29	6,348,187.18
OpenCsvParser 2.3	22.13	36.84	177.19	2,185.44	19,897.37	199,481.46	2,081,256.96	6,610,777.70
SuperCsvParser 2.2.0	22.57	36.87	168.28	1,714.92	15,760.05	163,915.88	1,616,134.18	4,932,034.29
OsterMillerParser 1.07.00	23.53	39.27	195.17	1,706.05	17,354.48	168,445.49	1,673,356.38	5,297,194.44
JavaCsvParser 2.0	29.40	43.03	193.09	1,840.75	17,614.13	176,080.17	1,732,943.33	5,525,471.43
WayIoParser 1.6.0	28.73	49.97	230.92	2,637.67	24,563.24	246,650.74	2,451,107.83	7,725,632.94
CommonsCsvParser 1.0	20.36	41.24	252.90	2,385.53	24,277.71	244,260.14	2,403,832.58	7,658,031.91
GenJavaParser 1.0	22.58	50.01	378.46	4,069.74	48,406.71	479,780.80	4,869,382.85	15,486,546.01
UnivocityParser 1.0.3	4,349.93	4,356.36	4,492.51	6,085.43	20,121.76	154,325.93	1,460,668.11	4,618,588.49
Bean IO 2.1.0	24.15	62.62	503.72	5,371.11	59,605.92	608,495.75	5,708,588.10	18,253,867.13

Latency difference in % from jackson parser

Java 8 Results

No quote results

the unit is us per reading the file of nbrows. The lower the better.

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	16.97	24.77	100.55	901.69	8,896.07	94,738.75	853,498.25	2,632,276.44
SimpleFlatMapperParser 1.2.0	17.53	23.58	94.14	885.84	8,468.54	71,266.72	687,330.28	2,544,713.83
JCsvParser 1.4.0	18.08	27.02	117.38	1,156.94	10,631.32	108,310.56	1,043,085.15	3,538,204.72
SimpleCsvParser 2.0	19.18	32.37	169.22	1,628.87	15,464.43	157,553.29	1,562,049.57	4,877,498.34
OpenCsvParser 2.3	18.84	31.93	161.40	1,554.06	15,182.50	151,518.48	1,518,520.20	4,789,898.43
SuperCsvParser 2.2.0	19.21	32.62	168.36	1,302.04	12,223.01	128,351.83	1,254,158.67	4,406,608.49
OsterMillerParser 1.07.00	20.10	30.42	138.27	1,240.67	12,019.66	122,622.17	1,215,447.04	3,778,397.37
JavaCsvParser 2.0	26.02	37.50	167.64	1,540.67	14,925.34	154,624.11	1,513,953.07	4,714,272.93
WayIoParser 1.6.0	24.68	41.87	217.66	2,065.52	19,179.45	193,070.96	1,924,073.63	6,076,373.58
CommonsCsvParser 1.0	16.41	30.18	169.53	1,728.94	15,484.71	170,333.01	1,683,754.64	5,322,571.13
GenJavaParser 1.0	18.45	42.60	308.68	3,326.24	32,579.51	339,035.43	3,756,598.00	8,704,666.27
UnivocityParser 1.0.3	4,201.40	4,218.65	4,336.74	5,640.11	17,485.71	131,026.03	1,219,344.32	3,840,187.86

Latency difference in % from jackson parser

Quote results

the unit is us per reading the file of nbrows. The lower the better.

Parser/nbrows	1	10	100	1000	10000	100000	1000000	3173959
JacksonParser 2.4.2	17.05	27.53	133.20	1,363.76	13,582.91	141,354.32	1,198,963.25	3,855,814.01
SimpleFlatMapperParser 1.2.0	17.96	28.95	103.55	903.07	10,399.61	98,014.00	987,683.82	2,579,806.64
JCsvParser 1.4.0	18.35	29.79	144.35	1,392.68	13,206.78	140,968.94	1,360,875.42	4,232,535.86
SimpleCsvParser 2.0	19.60	35.99	205.69	2,017.18	19,509.33	195,672.45	1,923,729.58	6,147,489.91
OpenCsvParser 2.3	19.75	38.65	225.62	2,272.33	20,009.25	204,661.36	2,046,529.59	6,358,606.13
SuperCsvParser 2.2.0	19.59	34.89	186.03	1,664.23	16,066.05	164,121.47	1,609,226.70	5,159,231.48
OsterMillerParser 1.07.00	20.78	35.23	181.34	1,656.05	16,340.60	167,926.99	1,666,674.45	5,311,749.90
JavaCsvParser 2.0	26.44	39.48	186.03	1,814.79	17,795.90	181,730.28	1,796,715.00	5,736,254.13
WayIoParser 1.6.0	25.16	49.25	282.85	2,645.04	24,383.32	249,550.40	2,392,075.74	7,806,415.77
CommonsCsvParser 1.0	16.87	34.23	209.50	2,074.49	20,196.62	200,649.14	1,974,438.21	6,298,800.79
GenJavaParser 1.0	19.01	47.86	373.35	3,941.18	39,546.31	422,574.06	4,899,920.83	16,005,336.01
UnivocityParser 1.0.3	4,208.47	4,205.89	4,359.03	5,949.49	20,120.54	153,626.12	1,445,956.53	4,607,323.12
Bean IO 2.1.0	20.41	58.87	463.19	4,987.58	52,391.02	535,415.79	6,081,133.21	19,282,239.96

Latency difference in % from jackson parser

Comparaison across Java 6, 7 and 8

the unit is us per reading the file of 3173959 rows. The lower the better.

Parser	Java 6	Java 7	Java 8
SimpleFlatMapperParser	2,342,475.25	2,321,910.07	2,544,713.83
JCsvParser	4,522,937.51	2,811,022.42	3,538,204.72
JacksonParser	2,862,200.83	2,976,824.49	2,632,276.44
UnivocityParser	3,909,024.04	3,875,463.28	3,840,187.86
SuperCsvParser	5,256,495.20	3,968,221.65	4,406,608.49
OsterMillerParser	4,746,388.14	4,075,179.72	3,778,397.37
OpenCsvParser	4,156,496.28	4,355,408.10	4,789,898.43